ML_MCF.csv

,Job ID,URL,Job Title,Job Type,Company Name,Job Location,Job Level,Job Industry,Min Salary,Max Salary,Salary Paid,Date Posted,Contract,Internship,Temporary,Permanent,Job Description,Job Requirements
0,4a23f0baa5c6bbdf7c07755a43ad57ff,https://www.mycareersfuture.sg/job/data-science-lead-large-customer-sales-singapore-google-asia-pacific-4a23f0baa5c6bbdf7c07755a43ad57ff,"Data Science Lead, Large Customer Sales - Singapore",Full Time,GOOGLE ASIA PACIFIC PTE. LTD.,"MARINA BAY FINANCIAL CENTRE, 8 MARINA BOULEVARD 018981",Executive,Information Technology,7700,15400,Monthly,29 Jan 2019,0,0,0,0,"Company overview: Google is not a conventional company, and we don’t intend to become one. True, we share attributes with the world’s most successful organizations – a focus on innovation and smart business practices comes to mind – but even as we continue to grow, we’re committed to retaining a small-company feel. At Google, we know that every employee has something important to say, and that every employee is integral to our success. We provide individually-tailored compensation packages that can be comprised of competitive salary, bonus, and equity components, along with the opportunity to earn further financial bonuses and rewards. Googlers thrive in small, focused teams and high-energy environments, believe in the ability of technology to change the world, and are as passionate about their lives as they are about their work. For more information, visit www.google.com/careers. The area: Large Customer Sales (LCS) Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We're uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google's broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences. The role: Data Science Lead, Large Customer Sales - Singapore At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical rigor and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Additional Role Description: As a Data Science Lead, you'll be a key member of Google Large Customer Sales, the team that manages Google’s business relationship with global advertisers. As a Data Science Lead you will generate actionable insights and solutions that drive business results, by applying data science techniques and Machine Learning models to Google data, customers’ data and 3rd party data.  By working closely with customers’ Marketing, Data Science, Business Intelligence and Customer Relationship Management (CRM) teams, you will develop an understanding of the key opportunities and challenges they face. You will scope, execute and take full ownership of projects that will leverage Google’s cutting-edge data science techniques and Machine Learning models, to help customers solve their most pressing challenges, defining and scaling solutions to optimize marketing effectiveness, attribution models, creative excellence, and lifetime value (LTV). Responsibilities: - Analyze Google data, customers’ data and third party data to identify new data-driven business opportunities, estimating value and resources required by customers and Google. - Deliver projects end-to-end, working with customers’ teams to gather and prepare data/features, to analyze data with programming/statistical languages (e.g. R, Python) and generate insights, to choose and deploy Machine Learning models, solving for the business opportunities identified. - Work with Account Management teams to ensure that recommended solutions deliver expected performance improvements for customers, also by designing and executing experiments, resulting in accelerated Google media investments by customers. - Collaborate with gTech Customer Solutions Engineers and customers’ Engineering teams, to implement and scale the solutions identified; scale to other customers and sectors. - Act as Data Science advocate within Google Singapore Large Customer Sales, advising and coaching Analytical teams, sharing best practices and case studies, helping to lift the overall literacy; develop collaborations with gTech, Cloud, Product, Engineering teams as relevant.","Minimum qualifications: - Bachelor’s degree in Statistics, Mathematics, Computer Science or related field, or equivalent practical experience. - 4 years of experience in data science, advanced analytics, statistical modeling; experience working for Apps, E-Commerce, Fintech, Gaming, Travel and/or Ride Hailing companies. - Experience in SQL and statistical programming languages (e.g. R, Python). Experience in solving complex problems and defining and testing hypotheses to generate insights that drive business results. - Experience in translating data science concepts into business recommendations and communicating effectively to business leaders. Preferred qualifications: - Master’s or PhD degree in Statistics, Mathematics, Computer Science or similar fields. - Understanding of digital marketing and experience working with data to solve marketing problems including audience targeting, bidding, creatives optimization, and measurement and attribution. - Client-facing experience with the ability to manage relationships with Client Data/Engineering teams. - Team leading experience, with a focus on building and managing (small) teams of data scientists. - Experience in deploying Machine Learning solutions based on TensorFlow or equivalent tools. - Knowledge of Machine Learning models and techniques including data cleansing, normalization, feature engineering, model training/validation and automation."
1,21cf615a6aca1eee45fa96951e971be7,https://www.mycareersfuture.sg/job/research-fellow-nanyang-technological-university-21cf615a6aca1eee45fa96951e971be7,Research Fellow,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798",Professional,Sciences / Laboratory / R&D,5000,5500,Monthly,29 Jan 2019,1,0,0,0,"Project Name: Unattended Ground Sensors Research Fellow position available in School of EEE, NTU for industry sponsored project for developing neuromorphic embedded system for image recognition. Established in 1981, the SCHOOL OF ELECTRICAL AND ELECTRONIC ENGINEERING (EEE) http://www.eee.ntu.edu.sg is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With more than 150 faculty members and an enrolment of more than 4,000, of which about 1,000 are graduate students, it is one of the largest EEE schools in the world and ranks 6th in the field of Electrical & Electronic Engineering in the 2017 QS World University Rankings by Subjects.   The position is in the BRAIN lab (http://www3.ntu.edu.sg/home/arindam.basu/ ) under the supervision of Dr. Arindam Basu. Selected candidate has to lead in system integration of custom machine learning ELM IC with neuromorphic camera and FPGA platform. He/she will get to work with cutting edge neuromorphic image sensors and develop one of the lowest power machine learning chips in the world. The candidate will get the chance to use this chip for video processing and develop new generations of this design with ample opportunity for basic research as well as commercialization through startup.  Main job is to write Verilog/VHDL codes for interfacing FPGA with custom ELM IC developed by team and neuromorphic image sensor Develop library of Verilog/VHDL codes for basic image processing blocks and neural networks Need to co-work with algorithm person to optimize the neural network for hardware friendly implementation  Application Procedure: Please email a CV and any other relevant documents to arindam.basu@ntu.edu.sg clearly mentioning the project name, job field and job position applied for. Email subject should include UGS_2_RF and all attachments to email be named as UGS_2_RF_*.  Also mention in email earliest date when you can join and intended period of stay. Only shortlisted candidates will be notified for interview.","Education: PhD in EE/ECE/CSE   Must have:  Experience in HDL coding, using FPGA kits and interfacing FPGA with computer and other components Knowledge of Neural Networks and mapping neural networks to digital systems    Good to have:  Knowledge of debugging using logic analyser    We regret that only shortlisted candidates will be notified."
2,69cca3b454a7c580d03d705622b97341,https://www.mycareersfuture.sg/job/project-manager-wipro-69cca3b454a7c580d03d705622b97341,Project Manager,Permanent,WIPRO LIMITED (SINGAPORE BRANCH),31 CANTONMENT ROAD 089747,Professional,Information Technology,8500,10500,Monthly,29 Jan 2019,0,0,0,1,"Position Responsibilities:  Managing the Application Maintenance and Support services for the production data warehouse platform as per the SLA norms and system availability. Customer Communication involving daily, weekly and monthly progress updates on Incident, Change Management, Risk, Strategic Initiatives, Release, Open Issues, etc. Coordinating interdependencies, resources, stakeholders and program documentations and artefacts. Liaise with 3rd party product vendors, Interface Systems, external stake holders for any incidents, issues, license management, etc.   Engage with customer for new requirements gathering, analysis, design, prototype, documentation, and implement solutions iteratively using DevOps, Agile methodologies Manage and guide the project lead, developers, support for any new enhancements works. Maintain knowledge of emerging trends related to analytics, data management, statistical computing / machine learning, business intelligence, data visualization, etc. Manage the development and execution of predictive analytics and machine learning models for a variety of applications "," Bachelor’s degree required (minimum), or advanced degree (preferred) in Computer Science, Mathematics, Statistics, or related field Minimum 10+ years of project management experience in data analytics/data warehouse project experience. Should hold IT project management certification (CITPM) or equivalent. Experience in implementing large scale IT projects with Government customers. Demonstrated track record of success in delivering advanced analytics capabilities & predictable data project implementations Direct experience in implementing data management processes, procedures, data quality management, and decision support. Knowledge on Cloudera Hadoop, Machine Learning is required. Working knowledge of data mining, statistical analysis and machine learning concepts, with the ability to apply them to make better decisions, find hidden patterns, and predict outcomes Experience managing and working in an agile environment using agile tools and practices (as applied specifically to BI and advanced analytics projects) Experience building out and managing an organization's data capabilities, including staff, tools, and processes is a plus Strong written and verbal communication and presentation skills "
3,c725fe7c4f6e216e2364592f2a9f0e26,https://www.mycareersfuture.sg/job/avp-data-scientist-business-analytics-consumer-banking-group-dbs-bank-c725fe7c4f6e216e2364592f2a9f0e26,"AVP, Data Scientist, Business Analytics, Consumer Banking Group (180004XI)",Full Time,DBS BANK LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Senior Management,Information Technology,6500,11700,Monthly,29 Jan 2019,0,0,0,0,"Business Function  As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage. Our financial solutions are not only the best in the business – they were made just right for you.    About this role    The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.   Responsibilities     Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc. Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more. Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region Help the team with methodology and guidance in the areas of experiment design and data analysis. "," Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background. 6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results  At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models. Good understanding of technology tools especially those related to analytics, data & statistical modelling.  Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.  Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc.. Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful. Ability to communicate complex analysis/models across a diverse team. Good written and oral communication skills "
4,d9c7ce2e9a37be448050f2c1aa39e9ce,https://www.mycareersfuture.sg/job/senior-staff-data-scientist-ncs-d9c7ce2e9a37be448050f2c1aa39e9ce,Senior  /  Staff Data Scientist,Full Time,NCS PTE. LTD.,,Professional,"Engineering, Information Technology",8000,13000,Monthly,29 Jan 2019,0,0,0,0," Work with customers to identify opportunities where Artificial Intelligence (AI), Machine Learning (ML), and Advanced Analytics (AA) can be applied to data to solve the customer painpoints. Individually or collaborate with other team members to develop AI/ML/AA prototypes/Proof-of-Concept/Proof-of-Value to derive actionable insights from data. Collaborate with the customers and internal stakeholders to architect the overall supporting storage and compute infrastructure to support the deployment of the AI/ML/AA models, applications, and visualisation of the results.   Collaborate with the relevant project managers to conceptualise, develop project scope, requirements, budget, and timeline for the implementation of the identified AI/ML/AA projects. Implement the AI/ML/AA projects and to ensure that the projects’ AI/ML/AA objectives are met.    "," PhD/Masters/Bachelors (with good honours) in Computer Science, Statistics, Applied Mathematics, Operations Research, or related disciplines. Prefer candidates with 5 or more years of working experience, with at least 2 years of Artificial Intelligence (AI), Machine Learning (ML), and Advanced Analytics (AA) experience. Domain experience in public safety, defence, transport, education, and healthcare are highly desired. AI/ML/AA experience in smart city, social media, and procurement are also highly desired.  Good knowledge of AI/ML/AA models, software, and tools with the ability to conceptualise and architect the key components of AI/ML/AA projects; and to develop prototypes using statistical software packages such as R/SAS/SPSS. Experience working with very large data sets, including statistical analyses, data visualization, data mining, and data cleansing/transformation and machine learning. Experience in solutions using technologies such as Hadoop/Hive/Hbase/NoSQL and developer skills in Python, Perl, and Java are highly desired. "
5,12347b2449c4a0dcd94e3cda90c17553,https://www.mycareersfuture.sg/job/associate-senior-data-scientist-ncs-12347b2449c4a0dcd94e3cda90c17553,Associate  /  Senior Data Scientist,Full Time,NCS PTE. LTD.,,Professional,"Engineering, Information Technology",4500,9000,Monthly,29 Jan 2019,0,0,0,0," Work with customers to identify opportunities where Artificial Intelligence (AI), Machine Learning (ML), and Advanced Analytics (AA) can be applied to data to solve the customer painpoints. Individually or collaborate with other team members to develop AI/ML/AA prototypes/Proof-of-Concept/Proof-of-Value to derive actionable insights from data. Collaborate with the customers and internal stakeholders to architect the overall supporting storage and compute infrastructure to support the deployment of the AI/ML/AA models, applications, and visualisation of the results.   Collaborate with the relevant project managers to conceptualise, develop project scope, requirements, budget, and timeline for the implementation of the identified AI/ML/AA projects. Implement the AI/ML/AA projects and to ensure that the projects’ AI/ML/AA objectives are met.    "," PhD/Masters/Bachelors (with good honours) in Computer Science, Statistics, Applied Mathematics, Operations Research, or related disciplines. Prefer candidates with 3 or more years of working experience, with at least 2 years of Artificial Intelligence (AI), Machine Learning (ML), and Advanced Analytics (AA) experience. Domain experience in public safety, defence, transport, education, and healthcare are highly desired. AI/ML/AA experience in smart city, social media, and procurement are also highly desired.  Good knowledge of AI/ML/AA models, software, and tools with the ability to conceptualise and architect the key components of AI/ML/AA projects; and to develop prototypes using statistical software packages such as R/SAS/SPSS. Experience working with very large data sets, including statistical analyses, data visualization, data mining, and data cleansing/transformation and machine learning. Experience in solutions using technologies such as Hadoop/Hive/Hbase/NoSQL and developer skills in Python, Perl, and Java are highly desired. "
6,9adfba029af73b762e402daaf0ace58a,https://www.mycareersfuture.sg/job/research-fellow-national-university-singapore-9adfba029af73b762e402daaf0ace58a,Research Fellow,Unknown,NATIONAL UNIVERSITY OF SINGAPORE,,Unknown,,0,0,Monthly,None,0,0,0,0,None,None
7,b3ec16a1e373b1ff0536d40a48572089,https://www.mycareersfuture.sg/job/managing-consultant-%E2%80%93-banking-blockchain-wipro-b3ec16a1e373b1ff0536d40a48572089,Managing Consultant – Banking and Blockchain,"Permanent, Contract",WIPRO LIMITED (SINGAPORE BRANCH),31 CANTONMENT ROAD 089747,Professional,Information Technology,10000,15000,Monthly,29 Jan 2019,1,0,0,1,"The ideal candidate will have 10 - 14 years of experience in business and technology transformation consulting role or business process improvement and change management role. 6-8 years’ experience in any one of the following “focus domains” - cards and payments or wholesale (interbank) payments or treasury and cash management or trade finance domains. At least 3-5 years of experience in professional consulting firms is required. At least 1-3 years of experience in blockchain implementations in any one of the domains listed earlier is preferred. Ideal candidate will also have technical capabilities in implementation of business process management (BPM), blockchain, and associated tools/ commercial products. Responsibilities: Process optimizations - Mandatory  Engage with financial services customers and understand their current business/ operating model, leverage external industry trends and relationships to recommend future operating models and associated target state processes relevant to one of the focus domains listed above. Ability to advise and recommend on decentralization of processes using blockchain technology and impact and opportunities arising from the disruption. Develop roadmap for business/ operations/ process transformations and guide implementation of associated change management in organization/ technology. Define processes for compliance/ control/ escalations in operations, SLA/KPI’s, measurement techniques, governance procedures, etc. Depending on type of process (creative, rule based, judgement based, data intensive, labor intensive, etc.), employ various techniques such as LEAN, Six Sigma, Design Thinking and Customer Journey Mapping, Data Science, etc. to develop target state process optimizations Document process specifications in BPM tools such as ARIS, IBM BPM, etc. as needed.  Process transformation/ decentralization - Mandatory  Evaluate value chains, supply chains and ecosystems in financial services critically to assess potential for decentralization and collaboration using blockchain. Assess functional fit between specific financial services use cases and blockchain platforms and make recommendations to customers. Participate in evaluation and comparison of blockchain platforms as a functional/ domain expert. Participate in consulting engagements with financial services clients to conceive and develop blockchain proof of concepts (POC’s) and prototypes as well as roadmaps for pilots and production.  Process automation - Desirable  Depending on type of process (creative, rule based, judgement based, data intensive, labor intensive, etc.), recommend appropriate automation techniques such as robotic process automation (RPA), cognitive automation and machine learning, data science techniques, etc. Develop business cases and ROI for business process automation options. Evaluate, recommend suitable commercial products and tools for such automations. Implement proof of concepts (POC’s) and work as a part of agile implementation teams in realizing such automations.  General responsibilities - Mandatory  Lead client consulting engagements and mentor junior consultants and other technical staff in the project as needed. Interact with management and business stakeholders in analyzing current and target state processes to meet business needs. Articulate business requirements as user stories or other formats as required for agile development teams. Facilitate workshops, gather requirements from SME’s and develop deliverable documents such as business cases, process flows, business rules, knowledge representations, taxonomy/ data models, ontology/ dictionaries, etc.) Engage clients, ensure client satisfaction in consulting deliverables to gain their mind share Establish personal credibility and develop relationships with clients to be able to engage with them on future business/ operating/ technology strategies and related discussions. Leverage client relationships for support in business development pursuits ","Skills and knowledge - Mandatory  Indepth domain knowledge in one of the focus domains listed earlier. Ability to capture and define multiple aspects of business processes pursuing multiple threads in parallel – process flows, pain points, operational issues such as KPI’s, SLA’s, compliance/ controls/ governance, process transformation needs (standardization, simplification, elimination), etc. Passion for excellence in operations, processes, and systems Excellent consulting, problem solving, creative thinking, verbal and written communication skills Ability to deal with ambiguity, uncertainty and come up with alternative solutions Ability to handle multiple and often conflicting priorities Excellent client facing, people and conflict handling skills Ability to communicate with executive/ CxO level stakeholders Assume operational responsibility and accountability for consulting assignments and extended delivery teams when needed Ability and flexibility to work with onsite/ offshore execution models Hands-on usage experience in any BPM tool – ARIS, IBM BPM, etc. Strong computer skills; proficiency in Microsoft applications (MS Visio, Advanced MS Excel – including macros, logic functions, solver, etc., MS PowerPoint) and comfort with learning and using new software tools  Skills and knowledge - Desirable  Hands-on usage experience in any RPA tool – Automation Anywhere, Blue Prism, Workfusion, OpenSpan, UIPath, etc. Hands-on usage experience with any blockchain platform – R3 Corda, Hyperledger, Ripple, Stellar, Digital Asset Holdings, etc. Conceptual or hands-on usage experience in open source or proprietary cognitive/ machine learning algorithms and techniques Conceptual or hands-on usage experience in any one of data science tools such as taxonomy, data modeling, graph theory, geometry, greedy algorithms, recursion, statistical models, mathematical models, dynamic programming, machine learning/ AI, simulations, search/ sort, simple data ETL (extract/ transform/ load), etc.  Qualifications and other requirements  4-year college degree in financial/ engineering/ related disciplines, MBA Preferred Must be willing to travel up to 100% Lean Six Sigma certification preferred Design thinking certification preferred "
8,d3c176b88d9d5f658dcb9a1e95341342,https://www.mycareersfuture.sg/job/principal-security-engineer-office-integrated-information-technology-services-singapore-management-university-d3c176b88d9d5f658dcb9a1e95341342,"Principal Security Engineer (3-year contract), Office of Integrated Information Technology Services",Contract,SINGAPORE MANAGEMENT UNIVERSITY,,Manager,"Information Technology, Security and Investigation",4700,7400,Monthly,29 Jan 2019,1,0,0,0," COMPANY DESCRIPTION  Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together – building a strong collegiality and morale within the university.Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities – all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.  RESPONSIBILITIES  Threat Detection and Intelligence Management  Assessing, evaluating,  recommending  &  implementing  security  policy  or  technologies  to address   ongoing  IT  security  threats  to  improve  overall  cyber   intrusions/threats   early detection capability. Building sandbox solutions to detect malicious files and suspicious executable binary in an isolated environment. Developing effective solutions to stop malicious code execution. Stopping 0-day exploits using exploit mitigation techniques and application whitelisting. Detecting and avoiding malware persistence 5. Detecting  and  preventing  lateral  movement  of  malware  infected  machines  and  monitor critical windows events Blocking and  detecting  command  and  control  (  C&C  traffics)    through  logs  and  traffic analysis Leveraging threat intelligence to improve SMU's security posture  Cyber Security Detection Systems Management and Operations  Perform daily IT Security related operations/tasks for early identification & detection of cyber intrusions, threats & risks in Managing advanced analytics, machine learning or artificial intelligence technologies/systems to uncover hidden cyber threats. Coordinate and  working  with  government  agencies  such  as CSA,  IDA  or  Cyber-Watch Centre (CWC) to obtain early warning of impending cyber-attacks. Continuous monitoring  and  cyber  threats  analysis  to  ensure   IT  Services  are  running smoothly and Conduct security  assessments   of   requested   or   planned   IT   implementations   such   as identifying and classifying risks, threats, vulnerabilities in relation to SMU's IT security Managing security incidents' evidence preservation, analytic and Keep abreast with the latest trends and development in Cyber threats detection, mitigation technologies, methodologies, news and related threats  Cyber Security Project Management and Implementation  Assist the Security Manager in keeping track of the operating budget for IT Security and manage the discharged project budget effectively to achieve optimum maintenance cost expenditures. Provide assistance to Security Manger on all IT Security matters and/or related projects to ensure the proposal, objective and plan are evaluate and executed successfully. 17. Responsible for managing  IT Security  projects for existing  infrastructure  that  include enhancements and new system implementation to be delivered within project Work with other team members and other department to support and provide consultancy on IT security related issues. Provide technical security  consultation  and  integrate  standard  security  practices  such  as COBIT, ITIL, and IS02700 t into operations and development environment. "," Degree or Diploma holder in Computer Science or equivalent/IT background. At least 5 to 7 years of relevant working experience in IT environment/Security management. Preferred certifications such as Certified Information System Security Professional (CfSSP) certification. In-depth knowledge & experience in User Entity & Behavioral Analytics as well as Advanced Persistent Threats and Sandboxing technologies. Sound knowledge in web application vulnerabilities, such as OWASP Top 10, Cross-site, Scripting, Application  security and SQL injections. Good knowledge of security standards, best practices and risk assessment with analytical skill. Familiar with operation ofNextGen/Web Application/Database Firewall, VPN, Anti-Virus, Anti-Spam, SIEM, Intrusion Prevention/Detection, Data Leakage Prevention System, Cloud Security, Desktop Security & Vulnerabilities Assessment. Technically competent with good knowledge and skills in Network, Linux, UNIX, Windows and SAN, etc.  Attention to details and sound decision-making abilities. Independent, with initiative, positive attitude and keen interest in exploring the areas of IT security. Good interpersonal verbal and writing skills. "
9,a646a16d5c923f11703ef9edf42f5613,https://www.mycareersfuture.sg/job/software-consultant-apar-innosys-a646a16d5c923f11703ef9edf42f5613,Software Consultant,Contract,APAR INNOSYS PTE. LTD.,"SGX CENTRE II, 4 SHENTON WAY 068807",Executive,Information Technology,6000,9000,Monthly,29 Jan 2019,1,0,0,0," We are looking for highly motivated Individual who will work with various members of Data Intelligence & Science team to address challenging data science problems by leveraging techniques in statistics, machine learning or/and data mining. "," Masters/Bachelor degree in Statistics/Applied Math/Operational Research/Computer Science or related field 5+ experience of working experience in software or related industry 2+ experience as data scientist working on various data science projects. Experienced in developing machine learning models for real-world problems using R, python or other languages Experience in Deep Learning and AI related project a huge plus Familiar with big data technologies like Hadoop, Hive, Pig and Spark Able to conceptualize prototypes and evolve them to full fledge solutions Able to articulate the findings and work in a team environment "
10,a31d35f2fe3ecd505dd2c60ddf529300,https://www.mycareersfuture.sg/job/data-scientist-niometrics-a31d35f2fe3ecd505dd2c60ddf529300,Data Scientist,Permanent,NIOMETRICS (PTE.) LTD.,"PARKVIEW SQUARE, 600 NORTH BRIDGE ROAD 188778",Professional,Information Technology,5000,10000,Monthly,29 Jan 2019,0,0,0,1,"WHAT WE DO Niometrics captures, organises and extracts insights from some of the biggest and most complicated datasets that our modern societies currently produce. We put a magnifying glass on the realities collectively constructed by billions of connected individuals and machines, making sense of how humanity is re-creating wholly new digital universes with bits and bytes – universes that need to be seen, interpreted and explained. From taking deep dives into digital behaviours, to exploring the most intimate interactions between network technology and user experiences, we do it all. Our Data Science team consists of ambitious, creative and passionate individuals, united in the common goal of making a difference. With millions of users generating hundreds of TBs of data daily, our day-to-day job becomes an adventure of connecting digital signals with real-life habits to formulate granular audience insights – who they are, how they behave, and ultimately, how we can expect them to behave in the future. The action does not stop there – we also take pride in working with the latest high-end hardware and world-class software architecture. This means there are virtually no limits to the scope of future events we can model, giving us insights on not just people, but also the entire inter-connected ecosystem to which they belong. We are perfectionists and we do not hide it. You will join a thrilling environment, implementing and deploying data science solutions that are both efficient and secure, setting the basis for a groundbreaking software platform for the long run.  YOUR ROLE AS DATA SCIENTIST As a Data Scientist, you will work end-to-end, leading entire projects and owning their outcomes through their entire lifecycle. You will formulate hypotheses on structured and unstructured data, design experiments, draw meaningful conclusions and effectively communicate the results to business stakeholders. You will be part of a relentless team, curious to extract the highest value possible in the most effective way. You will put into action your machine learning skills, and together, we will build optimum algorithms for regression, classification, clustering, and information extraction.","WHAT WE VALUE  BA/BS (or MA/MS) or equivalent experience in applied Data Science. Proficiency in statistical packages and ML libraries for both big and not so big data (e.g. Python SciPy ecosystem, NLTK, Tensorflow or equivalent, Spark ML and MLlib, etc.) In depth knowledge of cutting-edge machine learning algorithms, as well as the strengths and weaknesses of the different methods and algorithms on different applications. Experience in Unix systems and scripting in bash. Proficiency in code optimisation (knowledge of Cython or similar) "
11,dc9757b88fa2c68340cb9bbc4e502dca,https://www.mycareersfuture.sg/job/software-engineer-machine-learning-singapore-google-asia-pacific-dc9757b88fa2c68340cb9bbc4e502dca,"Software Engineer, Machine Learning - Singapore",Full Time,GOOGLE ASIA PACIFIC PTE. LTD.,"MARINA BAY FINANCIAL CENTRE, 8 MARINA BOULEVARD 018981",Executive,Engineering,6300,12600,Monthly,28 Jan 2019,0,0,0,0,"Company overview: Google is not a conventional company, and we don’t intend to become one. True, we share attributes with the world’s most successful organizations – a focus on innovation and smart business practices comes to mind – but even as we continue to grow, we’re committed to retaining a small-company feel. At Google, we know that every employee has something important to say, and that every employee is integral to our success. We provide individually-tailored compensation packages that can be comprised of competitive salary, bonus, and equity components, along with the opportunity to earn further financial bonuses and rewards. Googlers thrive in small, focused teams and high-energy environments, believe in the ability of technology to change the world, and are as passionate about their lives as they are about their work. For more information, visit www.google.com/careers. The area: Engineering & Operations Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another. The role: Software Engineer, Machine Learning - Singapore Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Responsibilities: - Design, develop, test, deploy, maintain and improve software.  - Manage individual project priorities, deadlines and deliverables. ","Minimum qualifications: - PhD in Computer Science, related technical discipline or equivalent practical experience. - 5 years of experience in the Machine Learning field. - Experience with coding in data structures, algorithms and software design. - Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting or related fields. Preferred qualifications: - Experience programming in the following languages: C++, and/or Python. - Experience with large scale distributed systems design."
12,5731c18be188d7d1f80a840a834ad207,https://www.mycareersfuture.sg/job/data-scientist-singapore-power-5731c18be188d7d1f80a840a834ad207,Data Scientist,Full Time,SINGAPORE POWER LIMITED,"SP GROUP BUILDING, 2 KALLANG SECTOR 349277",Professional,Information Technology,4000,8000,Monthly,28 Jan 2019,0,0,0,0,"Why Work for Us We Power the Nation.  Make the most of your talents and develop products that can create impact on a national scale. We are an in-house software team, assembled to move with speed and deliver with quality.   We Build Reliable Solutions. For Customers, Company and Country.  You will be part of the Digital Technology Team and together, you will innovate, create, and deploy digital products that will empower more than 3,800 employees within SP Group and improve the quality of life for the 1.5 million commercial, industrial and residential customers that SP Group serves. We build solutions that enable sustainable high quality lifestyles and help consumers save energy and cost, as well as supporting national goals for a sustainable livable city. Now, imagine the impact you can create.   SP Digital Technology aims to use cutting edge technologies to help SP Group to revolutionize future utility/energy industry by providing better services and more efficient energy solutions to our customers. Data charter consists of data engineering, business intelligence, data science/machine learning teams. We oversee and drive all data and AI initiatives for SP group. It includes the following  Build next generation data infrastructure to collect/process/analyze different data from consumers, assets, energy Discover the business problems/opportunities and design data-driven solutions to improve operation/business/customer experience Uncover the actionable insights for multiple stakeholders to drive business growth    The mission of data team is to drive SP to become data-driven company and create data-driven products. As a data team member, you will be responsible for designing, developing and deploying data-driven solutions to create business value. We are looking for a Data Scientist who will help us discover patterns hidden in large amounts of data and make decisions from different sources. Your primary focus will be in applying data wrangling and machine learning techniques to build high quality anomaly detection, prediction and recommendation systems integrated with our products. You will work closely with customers and data engineers to understand the business requirements, in-house infrastructure and help build solutions for different business users.   What You'll Do  Understand business logics from domain experts and come up with reasonable targets for data projects Data fetching from different sources such as database, big data lake running on hadoop/hive Enhancing data by building autonomous pipelines from different sources Data wrangling by preprocessing, cleansing, and feature engineering Applying state-of-art machine learning techniques such as RNN, CNN for predictions and anomaly detections Build agile data products in a team of data engineers, scientists and business users Doing ad-hoc analysis and presenting results in clear manner Guide junior team members on their projects Help find opportunities from different business partners ","What You'll Need We are looking for Passion and Proficiency  Data-oriented personality and software engineering practices Excellent understanding of machine learning models, their pros and cons Experience with common data science toolkits such as Python/R Experience with data visualization tools such as D3.js, matplotlib and etc Proficiency in using query languages such as SQL, Hive Good understanding of statistics, such as distributions, A/B testing, model overfitting/underfitting Experience with one of deep learning libraries such as Tensorflow, Keras, Pytorch, CNTK, MXNet etc Master of Computer Science/Engineering, Applied Mathematics or other engineering related area "
13,b8f943fb05cb5ef1ec504e530dc425f3,https://www.mycareersfuture.sg/job/senior-data-scientist-singapore-power-b8f943fb05cb5ef1ec504e530dc425f3,Senior Data Scientist,Full Time,SINGAPORE POWER LIMITED,"SP GROUP BUILDING, 2 KALLANG SECTOR 349277",Middle Management,Information Technology,8000,14000,,28 Jan 2019,0,0,0,0,"Why Work for Us We Power the Nation.  Make the most of your talents and develop products that can create impact on a national scale. We are an in-house software team, assembled to move with speed and deliver with quality.   We Build Reliable Solutions. For Customers, Company and Country.  You will be part of the Digital Technology Team and together, you will innovate, create, and deploy digital products that will empower more than 3,800 employees within SP Group and improve the quality of life for the 1.5 million commercial, industrial and residential customers that SP Group serves. We build solutions that enable sustainable high quality lifestyles and help consumers save energy and cost, as well as supporting national goals for a sustainable livable city. Now, imagine the impact you can create.   SP Digital Technology aims to use cutting edge technologies to help SP Group to revolutionize future utility/energy industry by providing better services and more efficient energy solutions to our customers. Data charter consists of data engineering, business intelligence, data science/machine learning teams. We oversee and drive all data and AI initiatives for SP group. It includes the following  Build next generation data infrastructure to collect/process/analyze different data from consumers, assets, energy Discover the business problems/opportunities and design data-driven solutions to improve operation/business/customer experience Uncover the actionable insights for multiple stakeholders to drive business growth    The mission of data team is to drive SP to become data-driven company and create data-driven products. As a data team member, you will be responsible for designing, developing and deploying data-driven solutions to create business value. We are looking for a Data Scientist who will help us discover patterns hidden in large amounts of data and make decisions from different sources. Your primary focus will be in applying data wrangling and machine learning techniques to build high quality anomaly detection, prediction and recommendation systems integrated with our products. You will work closely with customers and data engineers to understand the business requirements, in-house infrastructure and help build solutions for different business users.   What You'll Do  Understand business logics from domain experts and come up with reasonable targets for data projects Data fetching from different sources such as database, big data lake running on hadoop/hive Enhancing data by building autonomous pipelines from different sources Data wrangling by preprocessing, cleansing, and feature engineering Applying state-of-art machine learning techniques such as RNN, CNN for predictions and anomaly detections Build agile data products in a team of data engineers, scientists and business users Doing ad-hoc analysis and presenting results in clear manner Guide junior team members on their projects Help find opportunities from different business partners ","What You'll Need We are looking for Passion and Proficiency  Data-oriented personality and software engineering practices Excellent understanding of machine learning models, their pros and cons Experience with common data science toolkits such as Python/R Experience with data visualization tools such as D3.js, matplotlib and etc Proficiency in using query languages such as SQL, Hive Good understanding of statistics, such as distributions, A/B testing, model overfitting/underfitting Experience with one of deep learning libraries such as Tensorflow, Keras, Pytorch, CNTK, MXNet etc Master or PhD of Computer Science/Engineering, Applied Mathematics or other engineering related area "
14,0c31118575b148585768bf8d35865efc,https://www.mycareersfuture.sg/job/manager-senior-manager-compliance-strategy-analytics-work-pass-division-ministry-manpower-0c31118575b148585768bf8d35865efc,"Manager /  Senior Manager, Compliance Strategy & Analytics, Work Pass Division (1 year contract)",Full Time,Ministry of Manpower,18 HAVELOCK ROAD 059764,Unknown,Public / Civil Service,,,Monthly,28 Jan 2019,0,0,0,0,"The job holder is responsible for using analytics to detect abuses and fraud within the work pass framework and to formulate strategies to deter abuses and prevent fraudulent applications.
 
Responsibilities

Extract and manipulate large data sets using scripting languages like R, Python or standard tools.
Apply statistical and machine learning techniques on large datasets to develop a model to detect risks and vulnerabilities in the work pass framework.
Conceptualise and implement measures and processes to strengthen detection of fraudulent work pass applications and employers, and propose interventions to close loopholes and gaps. 
Collaborate with work pass processing/enforcement teams to gather insights on emerging trends and validate the insights from the model, to ensure that the model is precise and robust.
Make use of visualisation software (e.g. Tableau) to present the data and insights gathered.
Collaborate with other data science units in MOM, GovTech to improve the robustness and precision of the model.
Actively conduct technology scans to look out for evolving statistical and machine learning techniques to improve the effectiveness of the model.
Provide technical inputs to integrate data analytics into enterprise systems.

 
Requirements

Possess tertiary qualification in Computer Science, Applied Mathematics, Statistics, Engineering, Econometric, Operations Research, or related disciplines
Possess strong analytical and problem-solving skills
Have good communication (written and spoken) and interpersonal skills
Be a good team player with a customer-focused mindset
Be able to work independently and adapt to complex changes
",None
15,4b5f0b9ca4e8ecd00e941ed4eebbf9a0,https://www.mycareersfuture.sg/job/data-analyst-propertyguru-4b5f0b9ca4e8ecd00e941ed4eebbf9a0,Data Analyst,"Permanent, Full Time",PROPERTYGURU PTE. LTD.,"TRIPLEONE SOMERSET, 111 SOMERSET ROAD 238164","Fresh/entry level, Professional","Engineering, Information Technology",4000,5200,Monthly,28 Jan 2019,0,0,0,1,"PropertyGuru Group is Asia’s leading online property company and the preferred destination for over 25 million property seekers to find their dream home, every month.  PropertyGuru and its group companies empower the property seekers with the widest option of more than 2 million homes, in-depth insights and solutions that enable them to make confident property decision across Singapore, Malaysia, Thailand, Indonesia and Vietnam. PropertyGuru.com.sg was launched in 2007 and revolutionised the Singapore property market by taking it online and made property search transparent for the property seeker. Over the decade, the group has grown from a regional property media powerhouse to a high-growth technology company with a robust portfolio of No.1 property portals, award-winning mobile apps; best-in-class developer sales enablement platform, ePropertyTrack and a host of industry-leading property offerings such as awards, events and publications – across eleven countries in Asia.   For more information, please visit www.PropertyGuruGroup.com Our websites attract more than 100 million monthly page-views which result in non-stop massive click-stream for behaviour data with around 130 million users. As a result, PropertyGuru has the most comprehensive data for property supply and demand in Southeast Asia. Our Data Science team is empowered to build unique and compelling user experiences using machine learning and data. The work done by our Data Analysts are highly sought after as the business sees the Data Analysts as partners in their journey who drive and create tremendous impact to the business. Responsibilities:  Influence business by creatively exploring the data to inform the business Translate the user at scale and help drive the decision making Translate complex findings and results into a compelling narrative for the business Partner with business stakeholders to define and evaluate the key metrics for the business’ success and progress e.g. assist stakeholders in understanding the reason behind data changes Investigate questions around user experiments and help understand the reasons Communicate analyses and recommendations to the business stakeholders for their decision making Ensure that the analyses are repeatable and accessible "," Bachelor’s degree in IT or relevant field. Alternatively, lesser qualifications with strong experience in machine learning will also be considered Minimum 2+ years of industry experience in working with terabyte scale datasets. 4+ years preferred. Communicate clearly and effectively to cross functional business partners of varying technical levels Build clear and simple Tableau dashboards and presentations Working knowledge of relational databases (BigQuery, Redshift, MySQL) and query authoring (SQL) Experience working with Google Analytics is a plus Experience in Python, R, C++, Java, Go, Scala is a plus "
16,f7a349b15079f2ffbc25872bd09570f4,https://www.mycareersfuture.sg/job/data-scientist-standard-chartered-bank-f7a349b15079f2ffbc25872bd09570f4,Data Scientist,Full Time,STANDARD CHARTERED BANK,"MARINA BAY FINANCIAL CENTRE, 8 MARINA BOULEVARD 018981","Manager, Senior Executive",Banking and Finance,12500,15000,Monthly,28 Jan 2019,0,0,0,0,"About Standard Chartered  We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East.   To us, good performance is about much more than turning a profit.  It's about showing how you embody our valued behaviours - do the right thing, better together and never settle - as well as our brand promise, Here for good.  We're committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where everyone can realise their full potential and make a positive contribution to our organisation. This in turn helps us to provide better support to our broad client base. The Role Responsibilities Work on various data science and machine learning projects and POC in the Financial Markets space: Identify the AI use cases with the FM business; Help the FM business to prioritize the use cases; Select the best AI techniques and train the model, based on the business use cases; Deploy the successful training solution to production environment; Serve as an internal consultant to advise the leadership team on the AI roadmap/strategy and drive the AI adoption in FM.   Be a key member of the agile scrum team that is fast paced in delivering business value: Multi-disciplinary and take ownership of technology deliveries from high level requirement through development, testing and deployment; Hold user workshops, conceptualize and analyze the user requirements, translate the user requirements into detailed, unambiguous, business and functional requirements or user stories; Be responsible for sourcing the relevant data from different parts of the bank and its analysis; Work closely with business sponsors, project and programme managers to ensure all stakeholders are fully engaged and expectations managed. Delivery focused, committing to specific tasks and ensuring these and the overall projects deadlines are met.","Our Ideal Candidate - Deep understanding in both traditional and modern machine learning approaches; - Hands-on experience with graph network and neural networks; - Hands-on experience in working with large amount and heavily unbalanced data sets; - Working experience or study experience in Financial markets products, as well as front office booking and risk systems; - Experience in anomaly detection is preferred but not required; - Ability and experience to take ownership of business requirements and manage them through to delivery; - Knowledge of testing approaches and techniques; - Ability to accurately translate and document business needs into functional requirements or user stories and produce quality documentation; - Have experience or be comfortable with working in an agile environment; - Ability to work proactively, independently and display strong initiative; - Proven ability to work across business streams, exposure to front to back system implementations; - Excellent and demonstrable Stakeholder Management skills; - Good communication skills in both written and oral English. How to Apply Please visit - https://scb.taleo.net/careersection/ex/jobdetail.ftl?job=1900001716&lang=en  to apply now and take the next step in fulfilling your potential. You can search and view current opportunities across our global organisation and apply immediately by visiting www.standardchartered.com. To help speed up your application, please note the following:  You will need to log in (or register if you are visiting our careers site for the first time) before you can apply for a specific role Some roles may require you to undertake an online talent assessment in addition to completing the application form (to facilitate this process it is preferable that you provide us with an email address as part of your contact information) We will ask you about your education, career history and skills and experience, it may be helpful to have this information at hand when completing your application  It usually takes 15 - 20 minutes to complete the application form; you can save your application at any time and return to complete it at your convenience. Diversity & Inclusion Standard Chartered is committed to diversity and inclusion. We believe that a work environment which embraces diversity will enable us to get the best out of the broadest spectrum of people to sustain strong business performance and competitive advantage. By building an inclusive culture, each employee can develop a sense of belonging, and have the opportunity to maximise their personal potential."
17,0be536f1355385222e183ab431755001,https://www.mycareersfuture.sg/job/sg-developer-123910-credit-suisse-ag-0be536f1355385222e183ab431755001,SG IT Developer #123910,"Permanent, Full Time",CREDIT SUISSE AG,"ONE RAFFLES LINK, 1 RAFFLES LINK 039393",Executive,Banking and Finance,6000,10000,Monthly,28 Jan 2019,0,0,0,1,"SG IT Developer #123910 Credit Suisse Company Overview Credit Suisse is a leading global wealth manager with strong investment banking and asset management capabilities. Founded in 1856, Credit Suisse has expanded to be a global force employing over 45,000 people in 50 countries. With new leadership, a new strategy and a streamlined global organization, we are set for growth. We partner across businesses, divisions and regions to create innovative solutions to meet the needs of our clients—and to help our employees grow. It is a high priority for us to continually invest in our employees by providing ongoing opportunities for training, networking and mobility. Join us and let's shape the future of Credit Suisse together.   Further information can be found at www.credit-suisse.com  We Offer…      The role is within the Product Control (PC) IT Team which is part of the Risk & Finance (RF) IT Department. R&F IT is currently undergoing a radical transformation, investing in innovative technologies to deliver groundbreaking solutions to the business whilst evolving to DevOps. As part of this transformation, new opportunities have arisen to expand the PCIT Team located in Raleigh and we are looking for experienced Level 3 Support Engineers to join the team to help support a number of critical applications within the department. You will be liaising with production services, the core development teams and the business users to understand issues impacting these applications. You will deep dive into these applications to identify, design and implement solutions to solve these issues. You will have the opportunity to develop a deep understanding of key applications within the PCIT and across the bank. Learn about the architecture, strategies and processes and work in collaboration with the wider team based around the world. Key responsibilities will include:   Become a subject matter expert for the in PC Processes applications.   Analyze and investigate issues.   Design and implement solutions to resolve production issues.   Provide status reporting to IT management.   Find opportunities to improve production stability.   You will be encouraged to learn new technologies being used to develop the next generation applications in the department, Big data and Machine Learning technologies.","You Offer… Qualifications  You have a University Degree Level (preferably in IT). You have 4-6 years of experience in analysis, design and development of applications in financial services industry. Your prior experience in an investment bank (Finance domain) is helpful.  Technical  You have proficiency in Oracle or SQL Server (4 years+ experience), including design, writing complex SQL, trouble shooting and query optimization. Some experience with Oracle is mandatory. You are adept in Microsoft Technologies - C#.Net, ASP.NET, MVC (4 years+ recent experience). You have experience in messaging technology (MQ, EMS). Your exposure to JavaScript frameworks is an advantage (AngularJS, NodeJS and HTML5). You have knowledge of Control-M/Batch processing. You possess exposure to SDLC tools, such as: JIRA, Confluence, SVN, TeamCity, Crucible, Quality Center. You should have exposure to the full software development lifecycle from requirements to testing and release.  EEO statement                                                         Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success.  "
18,cc0d50d8a4b022d32d053bc37e929e20,https://www.mycareersfuture.sg/job/executive-sky-premium-international-cc0d50d8a4b022d32d053bc37e929e20,IT Executive (Data Analyst),Full Time,SKY PREMIUM INTERNATIONAL PTE. LTD.,"ONE RAFFLES PLACE, 1 RAFFLES PLACE 048616",Executive,Information Technology,2500,4000,Monthly,28 Jan 2019,0,0,0,0,"Sky Premium International is looking for IT Executives to be part of an dynamic team to plan, develope, execute and deliver compelling and innovative data-driven solutions and reports to imporve our business operations and facilitate decision-making. Responsibilites :  - To mine, analyse and report data from the company-owned systems and databases, to support and drive decision making in terms of product development and product marketing. - To design, develop, build, execute, train, test, validate and implement data and machine learning models, for production, testing, proof-of-concepts (POCs) as well as demonstration purposes. - To design, develop, test, validate and implement static reports as well as dynamic dashboards, for production and testing. - To collect, consolidate, clean-up, structure and/or process data from various disparate structured, unstructured and/or incomplete data sets and data sources. - To write complex queries and/or scripts to perform data aggregation, extraction, transformation and load (ETL). - To verify deliverables against the agreed qualities and standards as per the approved specifications. - To arrange, coordinate and conduct user acceptance testing (UATs) and user training sessions, with involved stakeholders and end-users, and follow-up on reported data models, dashboards and/or reports related issues closely. - To create, update and maintain proper specifications, such as functional, technical, report and/or database specifications.","Requirements & Pre-Requisite : - Minimum a Degree in IT or Computer Science, or equivalent. - At least 3-5 years of experience working with MS Excel, SQL Server, MYSQL and/or NOSQL databases and database visualization tools (e.g. Tableau), is a must. - At least 3-5 years of programming experience in C#, Python and/or, with TSQL is a must. Experience with AWS and/or AZURE is required. - Good understanding of both relational database as well as non-relation database designs and concepts. - Able to communicate effectively, analytical with good time management, problem-solving and documentation skills.      "
19,6738e189b3a892c40c00ccda0647e0f4,https://www.mycareersfuture.sg/job/senior-tech-specialist-program-manager-futurex-technologies-6738e189b3a892c40c00ccda0647e0f4,Senior Tech Specialist  /  Program Manager,Contract,FUTUREX TECHNOLOGIES PTE. LTD.,"GERMAN CENTRE, 25 INTERNATIONAL BUSINESS PARK 609916",Executive,Information Technology,6000,6500,Monthly,28 Jan 2019,1,0,0,0,"Client documentation portfolio manages the documents that get executed between CIB clients and bank. iCDMS is the inhouse application that supports the client documentation platform covering following products and services Account opening Cash Channels Security services Credit Financial Markets Enterprise content management domain which is the core capability for Client documentation platform covers following capabilities Document creation – Template management, document generation, document classification, workflow Document repository – Document storage, Archival, record management Information retrieval – Document search, Tag cloud, adhoc retrievals, Regulatory reports Analytics – Big data analytics, ML, AI  The senior Technology specialist is responsible for these activities on regular basis Strong enterprise content management domain experience. Strong capability to understand the business strategy (TOM) and provide technology guidance to align with it. Coaching business stakeholders to explore new avenues in technology for achieving transformational benefit Provide technical leadership and specialized insights to SCB clients around disruptive technologies (Machine Learning, AI etc.), digital, mobile, agile delivery, architecture, etc. Develop Prototypes, socialize and commercialize the innovative solutions to solve business problems using right technology. Working with industry and business specialists to develop comprehensive technology strategies, including IT opportunity assessment, information strategy, platform architecture strategy, and more Assisting to build the required capabilities for growth and innovation to sustain high performance Build trust and influence teams to follow through an honest promotion of a product/service/concept. Use variety of tools to spread and communicate (blogs, webinars, white papers, technical documents, presentations, show and tell sessions, demos, videos, screencasts, chats, discussion groups, emails) Mentoring and developing GB ITO teams. Assist with the development of IT digital and operating model strategies including initial vision, strategic requirements, and structured linkage to the business strategy Translate ambiguous IT challenges into results by analyzing data and engaging with a diverse range of client stakeholders Manage and facilitate development of client deliverables, executive summary read-outs, and detail fact-based analyses KEY MEASURABLES Stakeholder feedback (business, operations and technology) Adoption of technologies for business requirements Business outcome based on the technology directions provided KNOWLEDGE, SKILLS AND EXPERIENCE Experience Enterprise content management: Experience in enterprise content management implementations Product Management: Experience in developing products by showcasing incremental benefit to the business Digital Strategy: Experience in the business application of technology, an analytical and rigorous approach, business case experience, ability to turn data into insightful executive summaries Digital Innovation: Digital-focused experience of identifying and exploiting new value streams enabled by leading edge technologies Digital Operating Model: Digital process excellence oriented experience, operating model design and transformation Digital Workforce: People Change experience within a Digital environment, organization design and transformation Enterprise Architecture: Experience in helping clients establish a vision, roadmap, and governance. Experience in Enterprise Architecture tools such as Troux, Mega, Alfabet etc. Exposure to industry frameworks such as TOGAF. Application Strategy: Experience in helping clients re-position their digital & technology portfolio to fuel growth by balancing cost and capability. Coaching / Mentoring: Experience in coaching and mentoring ITO team to take vision to implementation.    ","10+ years of experience in IT Infrastructure and/or software development, with special emphasis in areas of Compute, Big Data and distributed computing. 5-10 years of experience working to develop systems and services and providing Technology leadership Outstanding content creation, speaking and presentation skills. Pre-established credibility and recognition in speaking engagements and technology publications is preferred. Extensive industry contacts in the software development field and the ability to work cooperatively with, and gain the respect of, software developers Strong desire to work in technology-driven business transformation and curiosity around opportunities and threats posed by innovation and industry convergence Knowledge of, and passion for, technology trends e.g. Robotics, Big Data, Advanced Machine Learning, Internet of Things A strong understanding of industry operations, dynamics, and trends through experience in Financial Services Technology. Personal and professional attributes required to work with senior client stakeholders to encourage them to take bold actions and coach them through major change Intellectual capacity to develop creative and breakthrough solutions Strong analytical skills, understanding of complex issues, the ability to quickly absorb information, conceptual and creative problem-solving excellence Equally comfortable in the role of business or digital / technology strategist; able to rapidly assess the IT implications of business strategy and the business implications of digital / technology strategy Excellent written and verbal communication skills; the ability to articulate complex problems and solutions in a simple, logical, and impactful manner Proven experience in leading teams to deliver new strategies or capabilities while developing, mentoring and inspiring team members Drive; enjoys a challenge, proven ability to adapt and remove obstacles to achieve results, determination, and optimism Exceptional oral and written capabilities with demonstrated experience developing well structured, logical, and audience relevant communications; must have strong MS PowerPoint and MS Excel skills Training, Qualifications, and Certifications Extensive experience with enterprise architecture best practices and goals Excellent communication and motivational skills Training/qualifications and Certifications in some of the functional and/or technical domains as mentioned will be an added advantage"
20,7b522b2cf3d22be62436b2fb31ddc4c3,https://www.mycareersfuture.sg/job/research-engineer-dyson-operations-7b522b2cf3d22be62436b2fb31ddc4c3,Research Engineer,Permanent,DYSON OPERATIONS PTE. LTD.,"ASCENT, 2 SCIENCE PARK DRIVE 118222",Professional,Engineering,4600,6600,Annually,28 Jan 2019,0,0,0,1,"Join our  ambitious and rapidly growing research team, at the Dyson’s Singapore Technology Center, focused on building real robots to go into people’s homes. The team is very multidisciplinary covering topics including Computer Vision, Machine Learning, Robot Control, Mechatronics and Electronics, Human-Robot Interaction, all with the backdrop of friendly and multi-cultural work environment. We are seeking someone to help with the conceptualization, design and implementation of high-level robot behaviours. People who are looking to transition from the Gaming Industry to Robotics are encouraged to apply as your skill sets will be equally relevant.  Day to Day Responsibilities:  Design and implement novel and robust solutions for orchestrating high-level behaviours for multi-modal robotic/agent systems. Design, prototype and implement manageable/maintainable software in C++ and/or Python. Develop systems using simulation tools and then demonstrate them on real robotic platforms. Help with integration efforts in order to ensure that the system provides the functionality required in order to aid the implementation of the behaviours. ","Skills / Requirements:  MSc or PhD (or equivalent industrial research experience) applied to practical, real-world robotics (or computer agents) problems and projects. Understanding of robotic systems design and integration. Developing software in a Linux environment (e.g. Ubuntu, or a variant thereof). Knowledge of and experience in techniques for programming intelligent agent behaviours (e.g. Behaviour Trees, Finite State Machines, Petri-Nets).   Desirable:  Experience with robot middleware frameworks such as ROS + Gazebo, YARP, VRep, NaoQi. Experience with coding development practices such as automated testing, continuous integration and code reviewing is highly desirable. Knowledge in related areas such as Computer Vision, Machine Learning and Hardware Control is also very appreciated 1-3 years’ experience "
21,adddd860d2a1515040cea9f567414eaa,https://www.mycareersfuture.sg/job/engineer-business-intelligence-turner-broadcasting-sales-southeast-asia-adddd860d2a1515040cea9f567414eaa,"Engineer, Business Intelligence",Permanent,"TURNER BROADCASTING SALES SOUTHEAST ASIA, INC","NEXUS @ONE-NORTH, 1 FUSIONOPOLIS LINK 138542",Executive,Information Technology,68040,83160,Monthly,28 Jan 2019,0,0,0,1,"The Business Intelligence Engineer of Turner Data Cloud will be responsible for partnering with Turner APAC stakeholders and the BI Manager to onboard and optimize datasets which will be used in Looker digital analytics platform. To be successful in the role you’ll need to be inquisitive, detail-oriented, open to new ideas, and possess a strong aptitude for quantitative methods. The role requires a strong statistical background, familiarity with modern data warehouses, experience with SQL-like tools, and knowledge of scripting languages (e.g., python). Experience with predictive modelling or machine learning a plus. Job Duties: • Thorough understanding of Turner’s business, ad tech, and data through research and data analysis. • Support and Maintain the Turner Data Cloud International (TDCI) Looker Platform • Create and maintain transformations to summarize/aggregate data and load these so users can consume this data using various BI/Analytics tools. • Develop and maintain standards for administration and operation including the scheduling, running, monitoring, logging, management of errors, recovery from failures, and validation of outputs. • Contribute to the project planning process by estimating tasks and deliverables. • Work closely with APAC stakeholders and the APAC BI Manager to understand user requirements. • Be at the cutting edge of utilizing data about consumers in the media industry to improve audience experience. • Help out with complex analytical tasks. • Develop Insightful dashboards using Looker and other analytics tools.","Essential 1. 4+ years solid experience as a database developer in OLAP environment. 2. BSc in computer science, math, physics or equivalent education/training/experience. 3. Experience in agency / media owner preferred 4. Expert knowledge in SQL 5. Expert in Python, Java or similar language(s) 6. General knowledge of Media/News Broadcasting Sales, ratings data 7. Strong oral, written and presentation skills Desirable  1. Experience in media or technology industry 2. Previous Looker and Snowflake experience 3. HiveQL, SparkQL, Postgress SQL experience    "
22,6bde86d3501870c8e0ba0af62430f2b4,https://www.mycareersfuture.sg/job/software-consultant-charterhouse-6bde86d3501870c8e0ba0af62430f2b4,Software Consultant,Contract,CHARTERHOUSE PTE. LTD.,"BANK OF CHINA BUILDING, 4 BATTERY ROAD 049908",Executive,Information Technology,6000,9000,Monthly,28 Jan 2019,1,0,0,0," We are looking for highly motivated Individual who will work with various members of Data Intelligence & Science team to address challenging data science problems by leveraging techniques in statistics, machine learning or/and data mining. "," Masters/Bachelor degree in Statistics/Applied Math/Operational Research/Computer Science or related field 5+ experience of working experience in software or related industry 2+ experience as data scientist working on various data science projects. Experienced in developing machine learning models for real-world problems using R, python or other languages Experience in Deep Learning and AI related project a huge plus Familiar with big data technologies like Hadoop, Hive, Pig and Spark Able to conceptualize prototypes and evolve them to full fledge solutions  Able to articulate the findings and work in a team environment EA License no.: 13C6338 I Reg no.: R1110355"
23,70514ddcfc716b097a258afda3d2d3a9,https://www.mycareersfuture.sg/job/senior-software-engineer-isentia-brandtology-70514ddcfc716b097a258afda3d2d3a9,Senior software engineer,Permanent,ISENTIA BRANDTOLOGY PTE. LTD.,"LUZERNE, 70 BENDEMEER ROAD 339940",Professional,Information Technology,5000,7500,Monthly,28 Jan 2019,0,0,0,1,"About Isentia Isentia is the Asia-Pacific region's leading media intelligence company, providing over 6,000 clients with information and insights 24/7/365 across traditional and new media. Isentia has more than 1,400 employees across 15 countries filtering information from over 10,000 print, radio and television media outlets and over 250 million online conversations per month. Our talented people, innovative technology, comprehensive coverage and expert research provides the tools and insight to allow our clients to manage media relationships effectively, track and analyse issues of interest across all media, and discover and share valuable insights that drive smarter decisions.  Are you interested in Big Data, Machine learning, Social Media, News and Current Affairs? Do you have a passion for working with some of the biggest brands in Southeast Asia? Are you excited by consumer insights, big data and media analysis? Are you looking for a challenging and rewarding role with a gateway into Senior Management? Focused on creating a complex RESTful API layer for a highly scalable and distributed software system.    Our platform is based on a cutting-edge architecture which will be an extremely rewarding experience for developers who enjoy maximising the potential of technology.   Strong developers will find this an immensely rewarding opportunity.   Why work for us?  Cutting edge technology for a technology product company. Fast growing business with big future plans. Flexible, informal, start-up like environment. Competitive salary.  We all believe in the product we’re building so if you want to join a bunch of people passionate about their work then we’d like to work with you!  We are looking for candidate with 2 to 5 years’ experience.    Responsibilities  Build and deploy Restful services Design overall architecture of the web application. Maintain quality and ensure responsiveness of applications. Collaborate with the rest of the engineering team to design and launch new features. Maintain code integrity and organization. Converting designs into pixel perfect reusable visual components ",Technology skills:  Necessary skills:   Amazon Web Services Python RESTful API Design Elasticsearch     Good to Have:   Docker Kubernetes Java 
24,ab98de328007a20fc1f5ad9a4cd3e160,https://www.mycareersfuture.sg/job/data-engineer-jewel-paymentech-ab98de328007a20fc1f5ad9a4cd3e160,Data Engineer,"Permanent, Full Time",JEWEL PAYMENTECH PTE. LTD.,,Professional,Information Technology,4000,8000,Monthly,28 Jan 2019,0,0,0,1,"As a Data Engineer you will get to work on a wide range of problems using the cutting-edge technologies in Big Data and Data Science. You are required to translate Data Science and Machine learning based solutions into scalable code, and to develop innovative solutions to collect/cleanse/store/process data. In case you are very passionate about building high throughput, low latency, fault tolerant software then this position is for you. To be successful in this role, you will need to:  Analyze requirements and deliver solutions that meet requirements. Write code by using best software development practices. Produce code that meets security standards. Estimate timelines and deliver solutions within agreed timeline. Write clear & concise documentation for solutions/code. Contribute ideas within team to build better code. Continuously improve knowledge on new technologies. Excellent in English, both written and spoken. "," B.Sc., Masters, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.). Knowledge in the use and application of Python to develop complex software. General machine learning techniques and technologies (e.g., Bayesian classifiers, regression techniques, graphical models, working with unbalanced data-sets) as well as applications (e.g., predictive analytics). NoSQL Database Programming/Development. Manipulation of various types of data; data cleaning, filtering, and pre-processing for example with text/images. Knowledge and experience in the use of cloud computing platforms (AWS/Azure/GCP/etc). SQL familiarity and database technologies (e.g., row versus column stores, in-memory DB, DB clustering, HA for DB). Familiarity and experience with Linux environments. Understanding batch (e.g., Apache Hadoop / Map Reduce) and stream processing approaches / frameworks (e.g., Apache Spark).    You’re a perfect fit us if you are  A master problem solver, and able to use own initiative to develop suitable solutions. A strong communicator with the ability to convey information to others in a simple and unambiguous way. An innovative, original thinker approach to job responsibilities, methods and processes. An energetic person who can be trusted to get a job done. "
25,16990ae636d2a13d1d712e5fec513494,https://www.mycareersfuture.sg/job/software-engineer-isentia-brandtology-16990ae636d2a13d1d712e5fec513494,Software Engineer,Permanent,ISENTIA BRANDTOLOGY PTE. LTD.,"LUZERNE, 70 BENDEMEER ROAD 339940",Executive,Information Technology,3000,4000,Monthly,28 Jan 2019,0,0,0,1,"About Isentia Isentia is the Asia-Pacific region's leading media intelligence company, providing over 6,000 clients with information and insights 24/7/365 across traditional and new media. Isentia has more than 1,400 employees across 15 countries filtering information from over 10,000 print, radio and television media outlets and over 250 million online conversations per month. Our talented people, innovative technology, comprehensive coverage and expert research provides the tools and insight to allow our clients to manage media relationships effectively, track and analyse issues of interest across all media, and discover and share valuable insights that drive smarter decisions.  Are you interested in Big Data, Machine learning, Social Media, News and Current Affairs? Do you have a passion for working with some of the biggest brands in Southeast Asia? Are you excited by consumer insights, big data and media analysis? Are you looking for a challenging and rewarding role with a gateway into Senior Management? Focused on creating a complex RESTful API layer for a highly scalable and distributed software system.    Our platform is based on a cutting-edge architecture which will be an extremely rewarding experience for developers who enjoy maximising the potential of technology.   Strong developers will find this an immensely rewarding opportunity.   Why work for us?  Cutting edge technology for a technology product company. Fast growing business with big future plans. Flexible, informal, start-up like environment. Competitive salary.  We all believe in the product we’re building so if you want to join a bunch of people passionate about their work then we’d like to work with you!  We are looking for candidate with 2 to 5 years’ experience.    Responsibilities  Build and deploy Restful services Design overall architecture of the web application. Maintain quality and ensure responsiveness of applications. Collaborate with the rest of the engineering team to design and launch new features. Maintain code integrity and organization. Converting designs into pixel perfect reusable visual components ",Technology skills:  Necessary skills:   Amazon Web Services Python RESTful API Design Elasticsearch     Good to Have:   Docker Kubernetes Java 
26,0463f4e6680987a4e8aa1ed80616846d,https://www.mycareersfuture.sg/job/data-scientist-information-technology-nomura-singapore-0463f4e6680987a4e8aa1ed80616846d,Data Scientist - Information Technology,Full Time,NOMURA SINGAPORE LIMITED,"MARINA BAY FINANCIAL CENTRE, 10 MARINA BOULEVARD 018983",Professional,Banking and Finance,20800,33000,Monthly,28 Jan 2019,0,0,0,0,"Nomura Overview   Nomura is an Asia-based financial services group with an integrated global network spanning over 30 countries. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Retail, Asset Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm practices disciplined entrepreneurship while building on a long tradition of serving clients with creative solutions and considered thought leadership. Functional Overview   Nomura Group has embarked on a Digital Transformation with the goal of automating business processes and creating Alpha opportunities. This is a significant Investment programme with a multi-year horizon, and is intended to make Nomura a Leader in this field. A dedicated team of Data Scientists is being put in place in multiple locations with the goal of developing insight in existing and new data sets, that directly drives the creation of models and algorithms that can be used for automation and/or Alpha Generation. The team is led by a Chief Digital Officer reporting into the head of Wholesale. Data and Computing resources are readily available for the team. Job Description   Design algorithms, build models, and prototype solutions for multiple projects. Work closely with infrastructure providers to translate prototypes into production solutions. Use machine learning and large-scale data mining techniques to discover and identify actionable patterns in data and develop hypotheses and models Design hypothesis tests, oversee execution, and perform rigorous statistical evaluation of the results to produce actionable insights Manage stakeholders and guide them in unlocking the value in their data Use a scientific method and strive for positive results at all times, balanced with working in an ‘Agile’ way to achieve rapid turnaround.","Key Experience & Skills   Strong academic background with a Masters in Computer Science, Mathematics or other quantitative fields Hands-on experience in the research, design and evaluation of machine learning approaches (regression, clustering, SVM, neural networks and dimensionality reduction techniques) to solve real world problems. KDB in memory relational database experience is a must Experience with building and normalizing data Proficiency in Python; with familiarity in ML packages such as Tensorflow, PyTorch etc. Hands-on experience in Big Data analysis platform such as Apache Spark and experience of semantic queries and Graph data models Ability to write clean, scalable, production-ready code. Ability to communicate technical concepts and results to a non-technical audience and a keen interest in understanding business requirements Understanding of Equities, Fixed Income, FX and Commodities products is preferred. Inquisitive nature with an eagerness to investigate and fully understand products, processes and issues. Regional Disclaimers / Diversity Statement   Nomura is committed to an employment policy of equal opportunities, and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender or sexual orientation.  "
27,d811457c351ebac1d6c04c22a4681965,https://www.mycareersfuture.sg/job/mct-big-data-senior-engineer-d811457c351ebac1d6c04c22a4681965,MCT Big Data Senior Engineer,"Permanent, Full Time",Company Undisclosed,,Non-executive,"Engineering, Manufacturing",5000,10000,Monthly,28 Jan 2019,0,0,0,1,"Do you have a broad theoretical and practical understanding of data engineering and data science? Can you wrangle large scale multidimensional data effectively? Are you always curious to learn something new? Do you love to solve engineering puzzles and optimize complex systems? Can you translate an idea in to an algorithm and make it into a product with quality and scalability in mind? Are you looking for window to the world ?   If so, you may be a great candidate for an Manufacturing Central Team (MCT) Data Engineer position at company, a global, Fortune 500 leader in the semiconductor industry. This position will be based in Singapore.   As an MCT Data Engineer at company, you will:   * Work with an international team of data scientists, data engineers, software engineers, process and equipment engineers, process integration engineers, yield enhancement engineers, R&D, etc. in a collaborative manner to develop new data science solutions that improve quality, improve yield, reduce deviations, improve manufacturing cycle time, reduce cost, extend manufacturing capabilities, etc. * Draw from a broad background of data-mining techniques in mathematics, statistics, information technology, machine learning, data engineering, design of experiments (DOE), visualization, etc. to discover insightful patterns in semiconductor manufacturing data * Work on projects and develop solutions that would be of high impact to various areas at all manufacturing fabs * Deliver polished presentations of data acquisition, data flow, data preparation and data presentation layer to internal customers and leaders to inform business strategy, streamline operations, and execute to revenue goals * In short, be a full-stack data engineer who can take an idea, access and prepare necessary data, work with data scientists to create machine learning models, develop it to an application with intuitive user interface, integrate with any pre-existing systems, demonstrate successful use cases and wins, etc.   Responsibilities and Tasks include, but not limited to:   * Understanding business needs and strategy to develop data science solutions * Collaborating with other data engineers and business process experts to access existing data in data warehouse and big data environments * Developing new or enhancing prior data acquisition and ETL pipelines from various sources into big data ecosystem. * Preparing data for machine learning using appropriate steps and methods, which may include data cleaning, transformation, augmentation, enrichment, sampling, etc. * Working with various scientific data such as equipment sensor data and logs, image and various types of signals, manufacturing process data, etc. to extract meaningful information for analytics * Creating intuitive user interface for interactive data visualization to explain insights from data * Preparing and delivering powerful presentations with rich data visualizations and meaningful business conclusions * Documenting the train of thoughts used to design and implement solutions along with managed source code * Traveling and participating in various internal forums for strategy building and to build solutions in collaboration with various manufacturing sites","Qualifications and Experience: * B.S degree or M.S. degree with 2 years’ experience in Computer Engineering, Industrial Engineering, or any other discipline with extensive programming or machine learning work  * Minimum 2 years of experience working in big data and data science projects and teams * Extensive experience with Java, Scala, Python in Hadoop ecosystem (Spark, Hive, HBase, etc.) is a must * Extensive experience with at least one relational databases (MS SQL, Oracle, MySQL, Teradata, etc.) is a must * Experience with building analytical web applications and data visualization technologies (Django, Javascript, Bootstrap, D3, etc.) is a plus * Good grasp of statistical and scientific programming packages in Python, R, etc. * Good grasp of data science concepts with emphasis on machine learning techniques is a plus * Experience with image processing (OpenCV, Python PIL, scikit-image, etc.) is a plus * Proficiency with collaborative source code management and documentation tools. (GIT, JIRA, Confluence, etc.) * Strong communication skills (written, verbal and presentation) * Willing to do international travel"
28,165e3137bfd84a80aa511eb2574a2e44,https://www.mycareersfuture.sg/job/mct-big-data-engineer-165e3137bfd84a80aa511eb2574a2e44,MCT Big Data Engineer,"Permanent, Full Time",Company Undisclosed,,Non-executive,"Engineering, Manufacturing",3400,6800,Monthly,28 Jan 2019,0,0,0,1,"Do you have a broad theoretical and practical understanding of data engineering and data science? Can you wrangle large scale multidimensional data effectively? Are you always curious to learn something new? Do you love to solve engineering puzzles and optimize complex systems? Can you translate an idea in to an algorithm and make it into a product with quality and scalability in mind? Are you looking for window to the world ?   If so, you may be a great candidate for an Manufacturing Central Team (MCT) Data Engineer position at company, a global, Fortune 500 leader in the semiconductor industry. This position will be based in Singapore.   As an MCT Data Engineer at company, you will:   * Work with an international team of data scientists, data engineers, software engineers, process and equipment engineers, process integration engineers, yield enhancement engineers, R&D, etc. in a collaborative manner to develop new data science solutions that improve quality, improve yield, reduce deviations, improve manufacturing cycle time, reduce cost, extend manufacturing capabilities, etc. * Draw from a broad background of data-mining techniques in mathematics, statistics, information technology, machine learning, data engineering, design of experiments (DOE), visualization, etc. to discover insightful patterns in semiconductor manufacturing data * Work on projects and develop solutions that would be of high impact to various areas at all manufacturing fabs * Deliver polished presentations of data acquisition, data flow, data preparation and data presentation layer to internal customers and leaders to inform business strategy, streamline operations, and execute to revenue goals * In short, be a full-stack data engineer who can take an idea, access and prepare necessary data, work with data scientists to create machine learning models, develop it to an application with intuitive user interface, integrate with any pre-existing systems, demonstrate successful use cases and wins, etc.   Responsibilities and Tasks include, but not limited to:   * Understanding business needs and strategy to develop data science solutions * Collaborating with other data engineers and business process experts to access existing data in data warehouse and big data environments * Developing new or enhancing prior data acquisition and ETL pipelines from various sources into big data ecosystem. * Preparing data for machine learning using appropriate steps and methods, which may include data cleaning, transformation, augmentation, enrichment, sampling, etc. * Working with various scientific data such as equipment sensor data and logs, image and various types of signals, manufacturing process data, etc. to extract meaningful information for analytics * Creating intuitive user interface for interactive data visualization to explain insights from data * Preparing and delivering powerful presentations with rich data visualizations and meaningful business conclusions * Documenting the train of thoughts used to design and implement solutions along with managed source code * Traveling and participating in various internal forums for strategy building and to build solutions in collaboration with various manufacturing sites","Qualifications and Experience: * B.S degree or M.S. degree with 2 years’ experience in Computer Engineering, Industrial Engineering, or any other discipline with extensive programming or machine learning work  * Minimum 2 years of experience working in big data and data science projects and teams * Extensive experience with Java, Scala, Python in Hadoop ecosystem (Spark, Hive, HBase, etc.) is a must * Extensive experience with at least one relational databases (MS SQL, Oracle, MySQL, Teradata, etc.) is a must * Experience with building analytical web applications and data visualization technologies (Django, Javascript, Bootstrap, D3, etc.) is a plus * Good grasp of statistical and scientific programming packages in Python, R, etc. * Good grasp of data science concepts with emphasis on machine learning techniques is a plus * Experience with image processing (OpenCV, Python PIL, scikit-image, etc.) is a plus * Proficiency with collaborative source code management and documentation tools. (GIT, JIRA, Confluence, etc.) * Strong communication skills (written, verbal and presentation) * Willing to do international travel"
29,d34d9e45336eb18dda7be3fafe76194f,https://www.mycareersfuture.sg/job/process-control-system-engineer-d34d9e45336eb18dda7be3fafe76194f,Process Control System Engineer,Full Time,Company Undisclosed,,Non-executive,"Engineering, Manufacturing",3400,6000,Monthly,28 Jan 2019,0,0,0,0,"As a Process Control System Run to run (R2R) Engineer at the Company, you will be responsible to develop smart manufacturing solutions towards the Industry 4.0 standard.  You will gain exposure and knowledge in many cutting edge areas including Machine Learning, advanced control solutions and deep learning. As a PCS R2R Engineer, you will have the opportunity to develop a complete solution that starts from requirements gathering, data analysis and modeling with big data platform, followed by system development and integration; and then fab wide implementation. The work you do directly affects the bottom line of the organization by enabling smart process control of manufacturing processes.   Responsibilities    Develop, implement and improve smart control solutions for optimum manufacturing performances. Develop, implement and improve data visualization solutions for monitoring the system performance. Develop, implement and improve full stack analytic platform that integrate Hadoop eco-system to real time process control applications to enable machine learning based process control. Conduct intensive data analysis and modeling to identify sources of variation in the process and translate it into control solutions. Provide technical oversight, guidance and support for process control implementation. Develop and deliver training on control systems and related topics. ","Requirements    Phd, Masters/Bachelor’s Degree in Computer Science/ Engineering/ Statistics/ Mathematics/Physics Passion for programing and data analysis Preferred experience in Python/R/SQL/Hadoop eco-system Preferred experience in the development of web based applications Good communication and interpersonal skills. "
30,a3b10698aa6a43370f6ccd90400e0880,https://www.mycareersfuture.sg/job/application-developer-a3b10698aa6a43370f6ccd90400e0880,Application Developer,"Permanent, Full Time",Company Undisclosed,,"Manager, Professional",Information Technology,5000,10000,Monthly,28 Jan 2019,0,0,0,1,"Purpose FWD Group has recently set up a Regional Innovation Centre in Singapore to leverage new technologies and the start-up ecosystem to continually delivering a premium digital customer-led experience. The team will build new features utilizing Machine Learning, Blockchain, IoT and Cloud Services to drive customer and business value. Our Centre is looking for Software Engineers who are passionate to change the way people feel about insurance. How you can contribute   Propose, architect and design new innovative features and products Consultation with internal teams to improve production web client and micro-services, utilizing best practices such as Continuous Integration, Server-less Architecture Explore latest technologies such as Machine Learning, IoT, Blockchain, etc. Make data-driven decisions Project ownership throughout prototyping lifecycle Collaborate with start-ups, solution providers, and other ecosystem organisations Plan and document technical specifications for features or system design Work closely with product and marketing teams to build features that delight our customers ","Who we are looking for    Bachelor’s degree in relevant discipline At least 5 years of experience in full Stack development (relevant Javascript/Python/Java frameworks e.g. AngularJS/ReactJS/Django/Spring) Entrepreneurial mindset preferred (i.e. startup experience, or product knowledge) Java development is helpful but not required AWS & Azure knowledge is advantageous Portfolio in prototyping and experimentation (e.g. Github) "
31,50aba61224c24271552a66aa43992f26,https://www.mycareersfuture.sg/job/senior-algorithm-engineer-50aba61224c24271552a66aa43992f26,Senior Algorithm Engineer,Permanent,Company Undisclosed,,Professional,Information Technology,8000,12000,Monthly,28 Jan 2019,0,0,0,1,"​​​​​​We are looking for an algorithm engineer to think critically and creatively in applying machine learning knowledge to design and develop innovate machine learning algorithms, systems and solutions. With strong research background and analytical skills, the engineer will apply research to develop cutting-edge technologies in AI research and innovation.  Research, develop and implement intelligent algorithms based on business requirements Experiment and test with real-world data for effective evaluations Optimise codes for efficiency and scalability "," Master's/PhD in Computer Science, Mathematics or equivalent field (students completing their Master's/PhD this year are welcome to apply) Proficient in C, C++ Strong research background and analytical skills Ability to read, understand, and apply research theories towards developing algorithms Experience in a wide variety of projects utlilising computer vision, natural language processing, artificial intelligence, data compression, machine learning and search technologies is a bonus "
32,4a9770bcd544a7b18784382930273040,https://www.mycareersfuture.sg/job/research-engineer-4a9770bcd544a7b18784382930273040,Research Engineer,"Contract, Full Time",Company Undisclosed,,"Professional, Executive",Engineering,4000,4500,Monthly,28 Jan 2019,1,0,0,0,"Candidate is to have rich experience in machine learning and data analytics which shall include but not limited to algorithm and technique development. Candidates are expected to be well versed in C, C++, Java and Python.  Candidate is expected to be able to contribute to the project straight away.",At least a Bachelor Degree in Computer Science or related areas
33,2efb0f4a7886f3aee009770d4efbbd00,https://www.mycareersfuture.sg/job/lecturer-info-comm-technology-institute-technical-education-2efb0f4a7886f3aee009770d4efbbd00,Lecturer - Info-Comm Technology (IT Applications Development),Contract,Institute of Technical Education,2 ANG MO KIO DRIVE 567720,Executive,"Information Technology, Public / Civil Service",3000,6000,Monthly,26 Jan 2019,1,0,0,0,"Responsibilities As a Lecturer, your contributions go beyond teaching and facilitating learning. You play a critical role in recognising and nurturing your students’ potential and their lifelong learning needs. In addition, you will carry out industry or consultancy projects to help you remain relevant in your profession and to evolving changes in industry, and maintain strong linkages with industry and schools. You will also have the opportunity to have industry attachments or experience on a regular basis to update your skills, knowledge and practices of your profession. Those with good and relevant experience can look forward to Senior Lecturer or equivalent positions, with career development opportunities to leadership positions in the Colleges or Headquarters.Requirements  College Central  You should be trained in Information Technology, Computer Science or Software Engineering, with at least 3 years of relevant work experience in Web/Mobile applications development, Content Management System or IT related field. You should be competent with Adobe CC applications and have good programming skills in iOS programming (SWIFT), C#, PHP, HTML5, CSS, JavaScript, Python. Candidates with experience and/or IT certifications in areas of Data Analytics, Internet of Things (IoT), or Artificial Intelligence (AI) and Machine Learning (ML) will have an advantage College East You should be trained in Information Technology, Computer Science, Data Science and/or Analytics, with at least 3 years of relevant work experience to be able to develop students' skills in implementing IoT/software applications, including data analytics solutions. You should possess relevant experience in one or more of the following areas: - development of IoT applications - data analytics technologies and Big Data - proficiency in programming languages such as Python, R or similar (familiarity with Python-based libraries such as scikit-learn, numpy/scipy and pandas is preferred) - programming web and mobile applications would be advantageous ",None
34,ad90ec1010174a822e1ea932925b1b7e,https://www.mycareersfuture.sg/job/lecturer-info-comm-technology-institute-technical-education-ad90ec1010174a822e1ea932925b1b7e,Lecturer - Info-Comm Technology (IT Systems & Networks),Contract,Institute of Technical Education,2 ANG MO KIO DRIVE 567720,Executive,"Information Technology, Public / Civil Service",3000,6000,Monthly,26 Jan 2019,1,0,0,0,"Responsibilities As a Lecturer, your contributions go beyond teaching and facilitating learning. You play a critical role in recognising and nurturing your students’ potential and their lifelong learning needs. In addition, you will carry out industry or consultancy projects to help you remain relevant in your profession and to evolving changes in industry, and maintain strong linkages with industry and schools. You will also have the opportunity to have industry attachments or experience on a regular basis to update your skills, knowledge and practices of your profession. Those with good and relevant experience can look forward to Senior Lecturer or equivalent positions, with career development opportunities to leadership positions in the Colleges or Headquarters.Requirements You should be trained in Information Technology, Computer Science,Engineering, with at least 3 years of relevant work experience in Computer Science, Information Technology or IT Security/Engineering or related fields. You should have good foundation in networks, server administration, cybersecurity, digital forensics, cloud computing and programming skills, in one or more Industries. Working experience and/or IT certifications in one or more of the following will be advantageous: - Development and security implementation for:  IT networks web applications and/or mobile applications and/or Internet of Things (IoT)  - Virtualisation technologies and Cloud Infrastructure technologies - Data Analytics and/or Machine Learning",None
35,6821b88d13395ab8134fe12dbdee6dbf,https://www.mycareersfuture.sg/job/research-assistant-nanyang-technological-university-6821b88d13395ab8134fe12dbdee6dbf,Research Assistant,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798",Professional,Sciences / Laboratory / R&D,3200,4200,Monthly,25 Jan 2019,1,0,0,0,"Background: The DMAL at Nanyang Technological University, Singapore, is seeking 2 motivated research assistants in software development. Areas of interest include, but are not limited to,  Mobile Application Development (iOS or Android) Back-end System Development (e.g., Flask, Node.js or Spring) Website Development (e.g., React.js, etc.) Knowledge of Machine Learning (e.g., deep learning, reinforcement learning, transfer learning, etc.) will be preferred  Responsibilities:  The research assistant is expected to engage in human behaviour & smart building research. The work content may not only focus on the system (e.g., front-end and back-end system) development. He/she has opportunities to collaborate with top researchers and engineers around the world to design and develop the machine learning based algorithms for various application scenarios. ","Applicants for the positions should satisfy the following requirements  Bachelor or higher degree in computer science, computer engineering, information system or a related discipline. Knowledge in website development, mobile app development, back-end development, basic machine learning. Strong programming skills on Python, Java, Objective-C or Android Java and JavaScript. Ability to work in a dynamic start-up environment. Prior knowledge on software development is a must.  Candidate(s) with industrial experience are particularly encouraged to apply.   We regret that only shortlisted candidates will be notified.  "
36,9a818a0f256b8683bb96d5396ac6837f,https://www.mycareersfuture.sg/job/senior-research-engineer-nanyang-technological-university-9a818a0f256b8683bb96d5396ac6837f,Senior Research Engineer,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798",Professional,Sciences / Laboratory / R&D,5000,8500,Monthly,25 Jan 2019,1,0,0,0,"The job involves development of algorithms and software prototypes for privacy-preserving techniques e.g. differential privacy, secure multi-party computation, fully homomorphic encryption and searchable encryption. The candidate is expected to work on privacy-preserving analytics projects related to distributed computing using open-source as well as commercial tool chain for developing privacy protection in analytics and machine learning systems. Prior experience in these fields, including cryptography, machine learning, big data analytics are required.",Education: PhD in Electrical/Computer Engineering/Cryptography Skills: Extensive knowledge/Experience with analytics and distributed computing; Extensive programming knowledge and project management skills; Excellent written and verbal English communication skills.   We regret that only shortlisted candidates will be notified.
37,9f36a121b6b836a26405865c93f9ed23,https://www.mycareersfuture.sg/job/rd-software-engineer-st-electronics-9f36a121b6b836a26405865c93f9ed23,R&D Software Engineer,Full Time,ST ELECTRONICS (INFO-COMM SYSTEMS) PTE. LTD.,"ST ELECTRONICS JURONG EAST BLDG, 100 JURONG EAST STREET 21 609602",Professional,Information Technology,4500,6500,Monthly,25 Jan 2019,0,0,0,0, Develop production quality video analytics software Carry out research to develop new techniques to improve performance of existing deep learning models Develop tools that help accelerate machine learning workflows ," Degree in Computer Science, Engineering, or a related subject At least 5 years related experience in field Strong development skills in Python Familiarity with working in a Linux environment Experience using frameworks like TensorFlow, Keras, PyTorch, Caffe2 and/or MXNet "
38,089c0b80780b95fa3a1ec01368d43bb7,https://www.mycareersfuture.sg/job/head-algorithm-development-elsy-089c0b80780b95fa3a1ec01368d43bb7,Head Algorithm Development,"Permanent, Full Time",ELSY PTE. LTD.,,Senior Management,"Advertising / Media , Professional Services",15000,20000,Monthly,25 Jan 2019,0,0,0,1,"Role As Head of Algorithm Development based in Singapore, you will be a key member of Elsy’s product and development team. Working closely with Elsy’s Founder and CTO based in New York, you will be responsible for the design and development of algorithms that drive Elsy’s media investment decisioning engine. This includes requirements gathering, architecture design, coding, testing and deployment of the algorithms.  You will also be required to support and troubleshoot client deliverables when needed. This role provides a unique opportunity to contribute to the growth of a highly innovative company and to the development of next generation, algorithmic solutions in a rapidly changing industry.   Responsibilities   Lead development of Elsy’s Algorithms o   Work with Elsy’s management team and client teams to develop and upgrade Elsy’s media investment decisioning algorithms on an on-going basis o   Design, develop, QA, maintain and deploy all code bases with Elsy’s algorithms. o   Partner closely with CTO and Product engineering team in development of algorithms Keep up to date with the latest developments in algorithms, Artificial Intelligence, Machine Learning and advanced analytics, and their application on media investment management, so as to ensure Elsy is always at the fore front of these applications.   Support Product Management and Development o   Support Elsy’s Product Management and Engineering teams when required, especially for product modules related to Elsy’s algorithms and advanced analytics o   Lead Product Support when users of Elsy have questions related to the algorithms of the platform   Support Client deliverables o   Support Elsy’s client delivery teams in debugging, fixing or upgrading algorithms. o   When required, support client delivery teams in broader data and analytics tasks.   Provide User Support o   Assist in training and support of platform users including client analytics and planning teams, especially relating to advanced topics relating to Elsy’s algorithms  ","Required Skills   10 years of experience leading algorithmic development and advanced analytics applications, preferably in the media industry   Deep expertise in marketing analytics such as multi-touch attribution or marketing-mix modeling/econometrics, or other types of measurement   Knowledge of optimization techniques and algorithm development   Hands-on experience in managing complex datasets of large volumes such as event level data   Hands-on experience in development of Artificial Intelligence or Machine Learning modules   Experience in Product Management of SaaS-based products related to the above   Expertise in Algorithm optimization through parallelization, code optimization and in-memory processing   Fluency in the following tools:   Python o   AWS including Lambda and Athena o   SQL Server or similar SQL-based database o   No-SQL Databases (such as MongoDB) and JSON-based data structures o   Microsoft Excel (vlookups, pivot tables, macros), PowerPoint and Word o   Tableau or similar data visualization tool o   JIRA or similar product management tool   Knowledge of visual techniques for data analysis and presentation   Strong aspiration for growth and natural preference to operate in a fast-paced environment   Strong desire to develop new skills, and build scalable tools and processes   Detail-oriented and QA-focused with an interest in repeatable processes and automation   Product management skills: demonstrated track record of managing products with advanced analytics and algorithms applications   Comfortable with shifting priorities on the basis of product and client requirements   Strong written and oral communications skills     Desired Skills   Interest in media and advertising and leveraging automation and technology to produce media plans   Experience working with USA HQ and offshore teams in different time zones  "
39,c605a552bf2a0ae3caad295b5a238394,https://www.mycareersfuture.sg/job/data-scientist-smartsoft-c605a552bf2a0ae3caad295b5a238394,Data Scientist,Unknown,SMARTSOFT PTE. LTD.,,Unknown,,0,0,Monthly,None,0,0,0,0,None,None
40,2cce3a0fd90690d4b4505d77e0eff1e7,https://www.mycareersfuture.sg/job/data-scientist-schellden-global-services-2cce3a0fd90690d4b4505d77e0eff1e7,Data Scientist,Full Time,SCHELLDEN GLOBAL SERVICES,"INTERNATIONAL PLAZA, 10 ANSON ROAD 079903",Senior Executive,Information Technology,6000,11000,Monthly,25 Jan 2019,0,0,0,0,"We are looking for highly motivated Individual who will work with various members of Data Intelligence & Science (DISc) team to address challenging data science problems by leveraging techniques in statistics, machine learning or/and data mining.  ","•       Masters/Bachelor degree in Statistics/Applied Math/Operational Research/Computer Science or related field •       5+ experience of working experience in software or related industry •       2+ experience as data scientist working on various data science projects. •       Experienced in developing machine learning models for real-world problems using R, python or other languages •   Experience in Deep Learning and AI related project a huge plus •       Familiar with big data technologies like Hadoop, Hive, Pig and Spark •       Able to conceptualize prototypes and evolve them to full fledge solutions •       Able to articulate the findings and work in a team environment  "
41,7b446f16f1967685b15c4d50565d63bd,https://www.mycareersfuture.sg/job/data-scientist-schellden-global-7b446f16f1967685b15c4d50565d63bd,Data Scientist,Full Time,SCHELLDEN GLOBAL PTE. LTD.,"INTERNATIONAL PLAZA, 10 ANSON ROAD 079903",Senior Executive,Information Technology,6000,11000,Monthly,25 Jan 2019,0,0,0,0,"We are looking for highly motivated Individual who will work with various members of Data Intelligence & Science (DISc) team to address challenging data science problems by leveraging techniques in statistics, machine learning or/and data mining.  ","•       Masters/Bachelor degree in Statistics/Applied Math/Operational Research/Computer Science or related field •       5+ experience of working experience in software or related industry •       2+ experience as data scientist working on various data science projects. •       Experienced in developing machine learning models for real-world problems using R, python or other languages •   Experience in Deep Learning and AI related project a huge plus •       Familiar with big data technologies like Hadoop, Hive, Pig and Spark •       Able to conceptualize prototypes and evolve them to full fledge solutions •       Able to articulate the findings and work in a team environment  "
42,29ae365c0f8215e583f5501200965862,https://www.mycareersfuture.sg/job/data-scientists-thatz-international-29ae365c0f8215e583f5501200965862,Data Scientists,Full Time,THATZ INTERNATIONAL PTE LTD,"THE ADELPHI, 1 COLEMAN STREET 179803",Executive,Information Technology,3000,5700,Monthly,25 Jan 2019,0,0,0,0," Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance "," Minimum of 3 years' experience with common data science toolkits Experience gathering and analyzing system requirements Knowledge of data mining and segmentation techniques Expertise in SQL and Oracle Proficiency in MS Excel Familiarity with data visualization tools (e.g. Tableau, D3.js and R) Proven analytical skills Problem-solving attitude BSc in Computer Science or relevant field "
43,fab6d6038f9d05c4ba59e47b232fbcf8,https://www.mycareersfuture.sg/job/kyc-automation-program-director-fab6d6038f9d05c4ba59e47b232fbcf8,KYC Automation Program Director,Permanent,Company Undisclosed,,Executive,Banking and Finance,10000,14500,Monthly,25 Jan 2019,0,0,0,1,"Position overview  KYC automation program director is based in Singapore within GRM (Global Referential Management) team  and will report to the Head of GRM Singapore. Responsibilities overview GRM set-up for KYC is based on a strong coordination between the GRM teams in NY, Paris and Singapore. As a consequence, a close cooperation with the management of NY and paris and more globally with the Head of GRM KYC automation program director is also in relation with OSI (Operations Strategy & Innovation) management, in charge of the deployment and implementation of the Robotic Process Automation program for the Operations department (OPC). RPA is a new technology used to automate manual tasks / processes that are repetitive and that are based rules. To achieve a complete automation of processes, other innovative components like Artificial Intelligence are also required within the program. Key responsibilities involve: Pilot the project for GRM in SGP using RPA (and other innovative components).  Responsible of the budget of the project and pilot with the local head of GRM the plan objectives Ensure the completion of all project phases from end-to-end. The KYC automation program director is in charge of process automation from the specification writing and validation to the production run follow-up (incl. UAT) This position requires directly being in charge of writing specifications and/or executing/coordinating UAT knowing that the project director will manage 1 – 2 business analysts  The project director ensures the Project Management Office and Communication functions  Elaboration of dashboard and planning to manage the project and report to management in SGP and in Head-Offices (HO). Preparation of all communication supports for steering committees, Asia innovation committee, GRM KYC committee , and other ad-hoc committees Report status and progresses of the KYC automation program to all project stakeholders Coordination with others services of CACIB that are involved into the project.  The project director manages the relationship with IT department in SGP where an IT team will be dedicated to RPA.  Responsible for the follow up of IT- RPA team workload in SGP String partnership with IT team in SGP (and HO) to achieve the project objectives Forecast KYC automation activity in order to determine the yearly IT workload Follow up of the IT run  RPA project management methodology:  Respect and apply OPC methodology for RPA implementation in relationship with HO and regional (HK) stakeholders Contribute to the continuous improvement of RPA methodology  Change Management:  The project director is in charge of the change management and especially: communication plan, training plan and change resistance plan using the OPC methodology of change management. In collaboration with the local head of GRM, the project director contributes to the re-engineering of the target processes including potential organization changes into the processes  Legal and Regulatory responsibilities:  Evaluate and report to management risks and compliance issues related to automation Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to the Singapore Compliance policies and procedures (group policies)  The project director will manage a RPA Business Analyst Team  A team of 2 business analysts in 2019 will locally complete the team and support him in his day to day tasks  Technological watching and automation using AI :  In a second phase, identify and implement new technologies (NLP, machine learning,  …) in collaboration of OSI to automate process when RPA is not sufficient           "," Relevant experience in project management and direction KYC/AML knowledge is a plus RPA knowledge is a plus Interest for innovation and new technology Positive and supportive attitude towards team members Strong perseverance and diligence towards attaining goals and effective time management Attention to detail Able to work independently with minimal supervision Possess strong analytical skills and problem solving skills Capacity to challenge Good analytical, organizational and interpersonal skill Excellent writing and oral communication skills Ability to adapt to a new environment and work in multicultural environment Fluent English is mandatory French knowledge is a plus "
44,b85b9b1443b6208ad981a8487a0d6432,https://www.mycareersfuture.sg/job/research-fellow-national-university-singapore-b85b9b1443b6208ad981a8487a0d6432,Research Fellow(Machine Learning & Statistics),Full Time,NATIONAL UNIVERSITY OF SINGAPORE,21 LOWER KENT RIDGE ROAD 119077,Professional,Sciences / Laboratory / R&D,5500,8000,Monthly,24 Jan 2019,0,0,0,0,"The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems. The Research Fellow will be responsible for working closely with Dr. Jonathan Scarlett on research topics in high-dimensional statistical estimation and learning, with potential research directions including the following:  High-dimensional structured estimation using generative models; Large-scale graph learning algorithms (e.g., Markov random fields); Robust estimation in high dimensions.  The position will initially be for 1 year, with a start date of February 2019 or later. Only shortlisted applicants will be notified. "," A PhD degree in machine learning, statistics, or a related area; Strong publication record; Experience in research. "
45,e7a4d3c3e0c9b43f7b60305ece6544a4,https://www.mycareersfuture.sg/job/principal-evangelist-ai-ml-amazon-web-services-singapore-e7a4d3c3e0c9b43f7b60305ece6544a4,Principal Evangelist - AI / ML,"Permanent, Full Time",AMAZON WEB SERVICES SINGAPORE PRIVATE LIMITED,"AIA TOWER, 1 ROBINSON ROAD 048542",Professional,Information Technology,18000,25000,Monthly,24 Jan 2019,0,0,0,1,"The Technical Evangelist for Amazon Web Services will join an experienced and energetic organization that is responsible for driving the development and adoption of AWS services across the globe. In this role, you’ll combine your unbridled passion and enthusiasm with your unmatched creativity to generate grass-roots attention, support, and adoption of AWS AI and Machine Learning Services among key industry opinion makers and technologists.  Ideally, you’re someone who comes from an AI/ML services or software background, but has an unmet need to be on stage guiding the broader industry towards adoption and exploitation of a technology you firmly believe in. You have immediate credibility with Startups, Developers, Architects, IT Managers and CIOs. You love to share your passion with others and exhibit good judgment in selecting strategic opportunities to do so.  You don’t just want to be part of an industry movement, you want to be out front leading it.  RESPONSIBILITIES:  · Gaining industry recognition and credibility as a regular attendee, panelist and keynote speaker at AWS and third party technology conferences, trade shows and press events · Developing and delivering compelling presentations, product demos, sample solutions, and discussions to drive awareness and adoption of Amazon Web Services AI and Machine Learning Services Continuing to identify leads for potential partnerships and customer opportunities in the AI and Machine Learning space Collaborating with internal teams to define the product road map and market positioning for AI and Machine Learning services Identifying, driving, developing & supporting community user groups and developer program initiatives for AI and Machine Learning services Creating and maintaining white papers, screencasts, demos and videos about AWS AI and Machine Learning services along with relevant emerging technologies, open source projects, and industry developments. ","Basic Qualifications  Significant experience working in a developer relations, technology evangelist or technical executive role Strong knowledge and experience with AI and Machine Learning services, cloud computing services & infrastructure, application development platforms and popular programming languages Computer Science Degree Superior oral and written communication skills in English, plus other languages relevant within the region. Willingness to travel and ability to work autonomously A history of successful speaking engagements and industry influence is preferred  Preferred Qualifications  10 to 15 years’ experience in IT Infrastructure and/or software development, with special emphasis in areas of Compute, AI and Machine Learning Services, Big Data and distributed computing. 2nd degree in an AI/ML related specialism or 5-10 year’s experience working with AI/ML systems or services Practical experience in cloud computing architecture work, systems or application design, development or operations is a requirement. Past experience with Cloud-based AI and Machine Learning platforms is preferred. Knowledge of AWS AI and Machine Learning Services a bonus. Strong knowledge and experience with social / online marketing coupled with prior experience in product definition, bring-to-market strategies in defining industry standards Outstanding content creation, public speaking and presentation skills. Pre-established credibility and recognition in speaking engagements and technology publications is preferred. Extensive industry contacts in the AI and Machine Learning software development field and the ability to work cooperatively with, and gain the respect of, software developers "
46,1f27ae4f33bd0d4f9bfd1c38d3e927db,https://www.mycareersfuture.sg/job/advanced-research-engineer-dyson-operations-1f27ae4f33bd0d4f9bfd1c38d3e927db,Advanced Research Engineer,Permanent,DYSON OPERATIONS PTE. LTD.,"ASCENT, 2 SCIENCE PARK DRIVE 118222",Professional,Engineering,5700,7200,Monthly,24 Jan 2019,0,0,0,1," Contribute to the development of the on-going internal Reinforcement Learning efforts. Design, implement and evaluate both new methods and learning tasks. Identify opportunities to apply reinforcement learning techniques to improve our robots performance. Report and present developments including status and results clearly and efficiently both verbally and in writing. Keep up-to-date with the state-of-the-art in the field of Reinforcement Learning with particular focus on Robotics. Attend technical conferences throughout the world. PhD in machine learning, neuroscience or computer science. X years of experience in Reinforcement Learning. Demonstrable experience with modern Machine Learning frameworks (Tensorflow, PyTorch, Chainer) Strong knowledge and experience of Python and C++. ", Good Knowledge of Robotics. Fair Experience with ROS Experience with control for robots Experience with real-time dynamic operation 
47,9ffef96084b9ec6e133c6bee88026928,https://www.mycareersfuture.sg/job/data-scientist-mannhummel-ventures-9ffef96084b9ec6e133c6bee88026928,DATA SCIENTIST,Full Time,MANN+HUMMEL VENTURES PTE. LTD.,"SYMBIOSIS, 3 FUSIONOPOLIS WAY 138633",Manager,Sciences / Laboratory / R&D,7000,8350,Monthly,24 Jan 2019,0,0,0,0," Advocate, evangelize and build data-fuelled products and services that help our customers improve filtration. Advocate, evangelize and build data-fuelled services that help our internal customers improve their operations. Dig in and become an expert on our filtration technology datasets. Provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables. Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas. You will lead applied analytics initiatives that are leveraged across the breadth of our solutions for Automotive, Industrial, Air, and Water filtration. Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes. Provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of our organization Implement PoC and PoV to test and validate the proposed analytics or algorithm Benchmark and recommend best solutions to implement our big-data and machine learning algorithm on our cloud infrastructure "," Ph.D. or Master’s Degree in operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline. Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms. more than 5 years of experience delivering world-class data science outcomes Able to solve complex analytical problems using quantitative approaches with your unique blend of analytical, mathematical and technical skills. Passionate about asking and answering questions in large datasets, and you are able to communicate that passion to product managers and engineers. Keen desire to solve business problems, and live to find patterns and insights within structured and unstructured data. You propose analytics strategies and solutions that challenge and expand the thinking of everyone around you. Expert in analysing large, complex, multi-dimensional datasets with a variety of tools. You are accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS. Experience with BI tools such as Tableau and Micro-strategy. You’re as comfortable with relational databases as you are with Hadoop-based data mining frameworks. You are familiar with SQL, Python, R, Go, Java and C/C++. Comfortable with fast paced, test-driven, collaborative and iterative engineering environment. You love learning, data, scale and agility. You excel at making complex concepts simple and easy to understand by those around you. You’re driven to show the world the power of applied analytics. Knowledge or previous experience with Amazon Web Services or other major public cloud provider is a plus Knowledge or previous experience with Docker technology is a plus English written / spoken Able to multitask and execute with a positive ""can do"" attitude Able to learn fast through self-directed interdisciplinary research "
48,962b6b110b66841082656a7f6fc8c7eb,https://www.mycareersfuture.sg/job/market-analyst-grabtaxi-holdings-962b6b110b66841082656a7f6fc8c7eb,Market Analyst (Data),Full Time,GRABTAXI HOLDINGS PTE. LTD.,"OUE DOWNTOWN, 6 SHENTON WAY 068809",Executive,Others,3000,6000,Annually,24 Jan 2019,0,0,0,0,"Get to Know Our Team: The team dubbed the “cool kids” is unconventional, exciting, and mysterious. We embrace teamwork, diversity, creativity, humor, and diligence.   Get to Know the Role: The team takes on some of the most challenging and fascinating market research in the fields of transport, food delivery, payments, and platform services. We apply both traditional and offbeat techniques to form key analytical perspectives of the ever-changing market. We promote a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate.   The day-to-day activities:   Use quantitative tools to provide uncover strategic and operational insights on various business verticals, regional markets, competitors, and any aspect of the external environment to help shape key stakeholders' perspectives.   Explore, analyze and aggregate data sets to provide actionable information. Create intuitive visualizations to convey broader these results to key stakeholders. Gather, analyze and disseminate insights.   Explore and create new data sources from time to time to further the team’s information-gathering capabilities.   Market Analyst (Data) is not characterized by the following:   Specializing in ETL, pipelining and other data infrastructure tasks. Though it is common to build and maintain some pipelines, we have a dedicated Data Engineering team for this.   Building, training and deploying machine learning models to production in support of our App. Most production models related to our App are managed by our Engineering and Data Science teams.   Taking an academic approach to Grab’s data. That is handled by our core Data Science team.   Responding to ad-hoc data requests from business teams. Most of the operational dashboards are maintained by our Data Analytics team.  ","The Must-haves:  A Bachelor's degree in any field. Strong foundation in data query/wrangling using SQL, python/R/Scala and data visualisation using tools like Tableau. An attitude of self-motivation, effective time management, and the ability to operate in a dynamic and fast-paced working environment. Experience in business, strategy and/or tech consulting would be an advantage. "
49,f4e5b50e258dd4338eb544f303554bf6,https://www.mycareersfuture.sg/job/data-science-lead-consultant-u3-infotech-f4e5b50e258dd4338eb544f303554bf6,Data Science Lead Consultant,"Permanent, Full Time",U3 INFOTECH PTE. LTD.,"OUE DOWNTOWN, 6 SHENTON WAY 068809",Professional,"Engineering, Information Technology",6000,8500,Monthly,24 Jan 2019,0,0,0,1,"Primary Responsibilities:  • Understand large data sets, build data models to address business problems • Undertake data collection, pre-processing and analysis • Build predictive models and machine learning algorithms ","The role will involve analysis and extensive data crunching with good amount of hands on programming skills. This role requires following skills and experience:   • Proven experience (5+Years) as a Data Scientist or Data Analyst • Good knowledge on cloud technologies especially Microsoft Azure. • Experience in data mining • Understanding of machine-learning and operations research • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) • Analytical mind and business acumen • Strong math skills (e.g. statistics, algebra) • Problem-solving aptitude • Excellent communication and presentation skills     Candidate should possess good soft skills as mentioned below:  • Should possess excellent problem solving and is able to work effectively in a less structured environment and manage time. • Excellent verbal and written communication skills • Work closely with onsite and offshore team members • Willing to travel to the customers locations on need basis outside of Singapore    Interested applicants, please send CVs in WORD format directly to roopinder@u3infotech.com. *Please note only shortlisted candidates will be contacted."
50,0983fe4720d246ae5d6d8c6c1c2d942b,https://www.mycareersfuture.sg/job/manager-senior-manager-supply-chain-trade-oneconnect-financial-technology-0983fe4720d246ae5d6d8c6c1c2d942b,"Manager / Senior Manager, Supply Chain & Trade","Permanent, Full Time",ONECONNECT FINANCIAL TECHNOLOGY (SINGAPORE) CO. PTE. LTD.,"ONE RAFFLES PLACE, 1 RAFFLES PLACE 048616","Middle Management, Manager","Logistics / Supply Chain, Others",60000,110000,Monthly,24 Jan 2019,0,0,0,1,"In this business-critical role, you will be embarking on a transformation into the high-tech future of global trade and supply chain finance by incorporating emerging technologies such as blockchain, big data, machine learning, and cyber-security into its products and services. This role will report directly to the Head of Supply Chain and Trade Key Responsibilities  Work with product and strategy teams to design and structure innovative products using cutting edge technology such as blockchain to offer better trade and supply chain finance services, including cross board trade financing solutions, anchor client supply chain financing solutions, multi-country & multi-bank platforms, etc   To achieve company’s strategic target on Trade and Supply Chain Finance, including platform creation, partnership / anchor customer identification and development, deal structuring, RFP response, term sheet creation, legal documentation negotiation, credit and risk discussions and customer visits for trade and supply chain financing (i.e. creating a platform for payable financing, ARP, pre-export financing, invoice financing, PO financing).   Coordinate with internal stakeholders such as credit, legal, operations, implementation teams, to ensure successful completion of trade and supply chain finance projects   Actively market the full suite of trade and supply chain management products to clients comply with regulatory requirements and internal guidelines  To succeed in this role, you should have deep expertise in executing trade and supply chain finance deals. Possess excellent interpersonal skills with an ability to build and maintain relationships with internal and external stakeholders. Have an open mind to learn and adopt new technology to enhance product offerings continuously.","You should possess the following:  At least 4-6 years' relevant experience in transaction banking, supply chain management/supply chain finance/trade finance. Ideally candidates with both product and sales experience Relevant experience and understanding of emerging technology, such as blockchain or other Fintech products will be a plus Strong relationship builder with excellent interpersonal skills. Ability to manage internal and external stakeholders well Ability to converse in Mandarin and/or Bahasa will be an added advantage as you will be dealing with Mandarin and/or Bahasa-speaking counterparts in the APAC region "
51,56598d79861ee5d4bbc8d98f4e9ed54e,https://www.mycareersfuture.sg/job/senior-research-engineer-dyson-operations-56598d79861ee5d4bbc8d98f4e9ed54e,Senior Research Engineer,Permanent,DYSON OPERATIONS PTE. LTD.,"ASCENT, 2 SCIENCE PARK DRIVE 118222",Professional,Engineering,6500,8500,Monthly,24 Jan 2019,0,0,0,1," Experience in motion planning, manipulation/grasping, and machine learning Experience in setting up simulation environment and executing real robot experiments Good programming skills in either C++ or Python Developing novel algorithms and technology platforms for manipulation including material handling, object picking, in-hand manipulation, collaborative multi-robot manipulation, etc. Facilitating mechanical, hardware, and software integration of new prototypes and new products including complete mobile robots, manipulators, and vision. Implementing kinematics, inverse-kinematics, dynamics, estimation, obstacle avoidance and motion control algorithms for robotic arms Working closely with the engineering team to integrate control and motion planning solutions manipulator systems Solving complex real-world challenges in creative, effective and efficient ways Solving unique problems and work on a small, self-directed team. Directly influence the vision and objectives for your team's work in alignment with business and market needs. Directly change what we do in JD fulfillment service to delight our customers. "," PhD or highly qualified MS candidate in computer science, electrical engineering, or related field Deep learning experience implementing state of the art techniques Passion for developing cutting-edge research Start-up mentality "
52,389257cd366cb46cf0045ae21f85f799,https://www.mycareersfuture.sg/job/research-fellow-national-university-singapore-389257cd366cb46cf0045ae21f85f799,Research Fellow,"Contract, Full Time",NATIONAL UNIVERSITY OF SINGAPORE,21 LOWER KENT RIDGE ROAD 119077,Non-executive,"Education and Training, Engineering, Sciences / Laboratory / R&D",4000,6000,Monthly,24 Jan 2019,1,0,0,0,"Job description  Collaborating with professors or colleagues, lead or conduct innovative research on the topics (but may not limit to, subject to center roadmap):     Development of Simulation and Optimization Platform for Port Operations Channel Capacity Study for Sea Channel Optimization and Scheduling of AGV Battery Related Problems Yard Storage Management Strategies Yard Layout Design Concepts Performance Analysis of Future Automation Systems   Contribute to the academic research in the relevant domains, and publish high-tier journal papers and conference papers Lead student projects and industrial projects with implementable outcomes Response to the deliverables of research and industrial projects  Preferred Skills  Good knowledge on the following subjects      Maritime Logistics and Transportation Simulation Modeling Optimization and Algorithm Development C#/JAVA programming, or software (Unity) development Machine learning   "," Ph.D. in Industrial Engineering, Computer Science, Civil Engineering, Statistics and Mathematics, or in other relevant disciplines Trackable academic records Proficient in communication and academic writing, and proficient in team collaboration "
53,8a2de15630ab13c69057673695fcd986,https://www.mycareersfuture.sg/job/advanced-software-engineer-homage-8a2de15630ab13c69057673695fcd986,Advanced Software Engineer,Full Time,HOMAGE CO PTE. LTD.,157B ROCHOR ROAD 188432,Professional,"Engineering, Information Technology",10000,13000,Monthly,24 Jan 2019,0,0,0,0,"Engineers at Homage build things that matter – Homage is redefining in-home caregiving for our parents, grandparents, friends and loved ones. At the heart of Homage are the families and caregivers we work with and the technology we build transforms their lives and care delivery experience. Here, every engineer works on exciting, meaningful projects. We move fast, have fun and help each other out. Mobile is a critical component of both our core operations as well as users’ experience. We’re looking for product-aware engineers who are thoughtful, responsible and passionate individuals who appreciate user experience. We’re looking for someone who is not only well versed in iOS development, but also has a strong understanding of good UX and is excited to learn about and contribute to the server side. Your work will directly impact the lives of people receiving care, people delivering care, and the families that are normally left in the dark about the entire caring process. We're looking for strong team players, people who can work with a very diverse team (engineers, care operations, sales folks.) We’re proudly backed by a group of top local investors, including Golden Gate Ventures, 500 Startups and SeedPlus.   About Homage:  Homage is a complete home care solution that combines the curation and training of care professionals with smart technology to provide on-demand home caregiving to seniors, allowing them to age at home with comfort, dignity, control and grace. Using a web and mobile technology platform, Homage removes all the inefficiencies of managing and delivering care, matching each unique care recipient to the best suited care professionals for them. Homage software engineers have a penchant for solving unique problems; if you love and thrive on keeping up to date with and gaining a deep understanding of the latest mobile and web technologies, you will love working with us. Homage is as much about product design as it is about employing diverse areas of Computer Science, including machine learning, information retrieval, distributed computing and natural language processing to transform the home healthcare industry in Asia and beyond.    Role Description  Much of what we have on the roadmap for iOS haven't even been started yet, which is exciting if you’re looking to build premium mobile applications from scratch. We’re looking for engineers with a proven track record of building mobile applications in Swift with high standards, and a solid design sense. You’ll have direct influence in shaping very early stages of a product that has enormous potential to transform a huge, antiquated market.","Responsibilities  Ownership of mobile products and projects, Create deeply loved products for the families and care pros we work with from design to launch Work with the design and product management team to help set priorities and build the right things in the right way Improve our tech stack, tools and processes  Requirements  8+ years of app development experience in iOS You’re capable of owning projects and working closely with other engineers to build exceptional mobile applications. Demonstrated experience and love for delivering the best user experience on mobile BS degree in Computer Science or related field (In lieu of degree, 4+ years of relevant iOS development experience). 	   Bonus Points    You’re an entrepreneur at heart – you can be resourceful and creative to find the best solution that gets the job done or you’ve proven yourself at a startup before. You have a ready portfolio of the mobile development work you’ve done and proud to showcase your work.    What We Care About   Passion and interest in mobile technology and pushing to change the status quo as well as making an impact. Comfort with a startup's lack of structure and quick pace Getting things done Communication skills Initiative and creativity Desire to learn  What we don't care about  Fancy credentials ""Rock-Stars"", ""All-Stars"", or ""Ninjas"" Specific schools "
54,6876e7eb10647ebfff19d7654df46921,https://www.mycareersfuture.sg/job/research-associate-nanyang-technological-university-6876e7eb10647ebfff19d7654df46921,Research Associate,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798",Professional,Sciences / Laboratory / R&D,3400,5000,Monthly,23 Jan 2019,1,0,0,0,"Established in 1981, the SCHOOL OF ELECTRICAL AND ELECTRONIC ENGINEERING (EEE) is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and strong tradition in research. To support teaching and cutting-edge research, EEE is host to 11 research centres and more than 50 laboratories, which are well-equipped with modern facilities and state-of-the-art equipment. With about 200 faculty members and an enrolment of more than 4,000, of which about 1,300 are graduate students, it is one of the largest EEE schools in the world. Our research team is working on Artificial Intelligence, Machine learning, Deep Learning, Extreme Learning Machines, Vehicle Detection, Car Plate Recognition, Lane Recognition, Traffic Sign Recognition. We have the following job opening available:   Research Associate      Requirements:  Master Degree in a relevant discipline, eg: Computer Science, Electrical Engineering, etc. Relevant experience in video analytics. Familiar with popular machine learning techniques, especially Deep Learning, Extreme Learning Machines (ELM). Good track record in machine learning research and development. Good academic record. Able to work independently. Able to communicate and write effectively. Good in MATLAB, Python, C/C++, etc    Application Procedure: Interested candidates please send your CV/resume to:  Prof Huang Guangbin School of Electrical & Electronic Engineering Nanyang Technological University  50 Nanyang Avenue Block S2.1 Singapore 639798 E-mail Address for E-mailed Applications: egbhuang@ntu.edu.sg   Electronic submission of application is highly encouraged.   Only shortlisted candidates will be notified for interview.","Research Associate       Requirements:  Master Degree in a relevant discipline, eg: Computer Science, Electrical Engineering, etc. Relevant experience in video analytics. Familiar with popular machine learning techniques, especially Deep Learning, Extreme Learning Machines (ELM). Good track record in machine learning research and development. Good academic record.  Able to work independently.  Able to communicate and write effectively. Good in MATLAB, Python, C/C++, etc "
55,1e90b327703a5b42c6961ef23e2994f1,https://www.mycareersfuture.sg/job/data-scientist-sensorflow-1e90b327703a5b42c6961ef23e2994f1,Data Scientist,Permanent,SENSORFLOW PTE. LTD.,"OXLEY BIZHUB, 61 UBI ROAD 1 408727",Professional,Information Technology,5000,8000,Monthly,23 Jan 2019,0,0,0,1,"Job Roles and Responsibilities This position is within the Data Science team where we constantly push for driving impact through data products or automating business decisions using advanced modeling techniques. We are looking for a Data Scientist with Machine Learning expertise to work on some exciting projects. Responsibilities  Selecting features, building and optimizing machine learning models Data mining using state-of-the-art methods Processing, cleansing, and verifying the integrity of data used for analysis Follow CI/CD and productionize machine learning models Extending company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytical systems Communicate, collaborate and work effectively across distributed teams Deliver business value and work with the senior team to aggressively push towards our vision of making smart buildings a reality ","Preferred Qualifications  Around 2-4 years of Data Science industry experience A great value for humility and a strong sense of ownership Excellent understanding of machine learning techniques and algorithms like regression, classification, clustering, neural networks, etc. Experience with common data science toolkits, such as R, Scikit-Learn, XGBoost, TensorFlow, etc. Experience working with distributed analytics engine like Apache Spark Good understanding of Statistics Ability to whiteboard a theory as well as roll up your sleeves and get coding Passion for learning new things and solving challenging problems Familiarity with SQL, relational and non-relational databases. Experience with Amazon Redshift is a plus. Proficiency in Python, and preferably in one other language like Java, JavaScript, etc. Ability to work independently and in cross-functional teams as needed to solve problems Kaggle experience / relevant open source contribution a huge plus "
56,046179d3dfd868928539db493248a7a6,https://www.mycareersfuture.sg/job/research-engineer-i2r-astar-research-entities-046179d3dfd868928539db493248a7a6,Research Engineer (Human Language Technology)  /  I2R (A*STAR),"Contract, Full Time",A*STAR RESEARCH ENTITIES,"UOB PLAZA, 80 RAFFLES PLACE 048624",Professional,Sciences / Laboratory / R&D,2500,5000,Monthly,23 Jan 2019,1,0,0,0,"About the Institute for Infocomm Research (I²R) The Institute for Infocomm Research (I²R) is a member of the Agency for Science, Technology and Research (A*STAR) family and is Singapore’s largest ICT research institute. Our strategic thrusts are in the spheres of intelligence, communications and media and our research capabilities are in shared sensor networks, public-public/public-private data-sharing platform, big data analytics and visualization solutions. For more information about I2R, please visit www.i2r.a-star.edu.sg Successful candidate will apply machine learning algorithms to develop an evaluation framework that will support a conversational A1 spoken dialogue system for studentsto assess how well they can speak a foreign language. Successful candidate will also develop solid engineering skills in deploying application systems and applied research experience of processing low-resource spoken languages, using techniques such as deep learning, transfer learning, unsupervised learning, reinforcement learning, domain and speaker adaptation, and GANs."," Minimum Bachelor in Engineering Engineering, Computer Engineering, Computer Science, Machine Learning with solid R&D experience or knowhow  Proficient in Python/Matlab/C++ programming   Knowledge in Deep Learning   The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified"
57,02a1196b078ee709327436f183222379,https://www.mycareersfuture.sg/job/data-scientist-sopra-steria-asia-02a1196b078ee709327436f183222379,DATA SCIENTIST,Permanent,SOPRA STERIA ASIA PTE. LTD.,"SYMBIOSIS, 3 FUSIONOPOLIS WAY 138633",Professional,Information Technology,5000,9000,Monthly,23 Jan 2019,0,0,0,1,"Job Description:  Build, validate, test and deploy machine learning model (eg. modelling, predictive, and forecasting) using proven and experimental techniques.  Define hypotheses, develop execute necessary tests, experiments and analyses to prove or disprove them  Translate data speak to human speak by effectively conceptualizing analysis to team members and business stakeholders.  Deploy creative algorithms by employing machine learning and data mining techniques  Contribute to team's innovation and IP creation          ","REQUIREMENT  Ph.D graduate or Masters (at least 3 years relevant experience) in computer science/computer Engineering /Operations Research/Mathematics/Statistics  Understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization  Experience with machine learning framework  Proficient in one or more of the following programming languages/Python, R  Experience in building machine learning models at scale, using real - time big data pipelines on platforms such as Spark/MapReduce  Familiar with NoSQL, postGIS, stream processing and distributed computing platforms  Self-motivated, independent learner and willing to share knowledge with the team members  Details-oriented and effective time manager in a dynamic working environment   "
58,1a1c4c8f00dc84476562c487d96a0698,https://www.mycareersfuture.sg/job/senior-manager-director-emerging-technology-ernst-young-advisory-1a1c4c8f00dc84476562c487d96a0698,"Senior Manager / Director, Emerging Technology","Permanent, Full Time",ERNST & YOUNG ADVISORY PTE. LTD.,1 RAFFLES QUAY 048583,Senior Management,"Consulting , Information Technology",8000,16000,Monthly,23 Jan 2019,0,0,0,1,"Our EY Digital and Emerging Technology Practice is a team of creative and inspiring developers, designers and strategic thinkers that partner with our analytics, customer experience and functional advisory teams to generate real business outcomes for our clients through digital transformation.   About the opportunity   Recruits at EY Digital are the engine room of our business, working on the front lines with our client, colleagues and third-parties to transform businesses. They work across industries and markets, cross-pollenating the best of digital, customer, strategy and technology to design, build and run the businesses of tomorrow. They traverse the digital spectrum from strategy and innovation, through to experience transformation and digitization of operations. No two days are the same.   We are currently looking to hire Experienced Senior Managers and Directors to lead our growing Emerging Technology team. This team will help build and take to market our solutions across a range of technologies, including Robotic Process Automation, Machine Learning / AI and Blockchain. The Emerging Technology team works closely with EY’s functional experts in Finance, IT, HR, Supply Chain, Customer and Strategy, as well as with our sector teams across various industries, to design, develop and implement fit-for-purpose solutions for our clients.   Key Responsibilities:  Engage with a range of clients, designing solutions which will deliver real business value, enabled by a broad range of emerging technologies and developing digital strategies for our clients Collaborate effectively across multiple parts of the EY and client businesses to deliver complex digital solutions and strategies Develop proposals and prototypes to help our clients understand how these solutions will be delivered and what impact they will have on their business Create thought leadership, demonstrations and other materials that articulate our point of view on emerging technologies to both clients and EY colleagues Build our business by enabling our sector / functional teams, developing tools and creating methodologies for the practical application of emerging technologies to address real business issues ","Skills and Attributes for success  You have a passion for emerging technology and you enjoy building things You are like being near the business and get satisfaction from delivering tangible outcomes You enjoy communicating with people from various backgrounds and can simplify complex technical conversations to help your audience understand the key concepts and the value that will be delivered You have a desire to build a business in an area of strategic importance to EY and to our clients      To qualify for the role, you must have:  Minimum of ten years' experience as an internal or external consultant working on business transformation, product, operations and/or technology projects in a digital environment A background in programming and / or data science. Specific knowledge of one or more of the follow technologies is a plus: Robotic Process Automation, Machine Learning / AI, Blockchain, IOT, Chatbots, VR/AR/MR. A track record in leveraging design thinking, functional requirements definition, business process analysis, business modelling, and workshop design and facilitation to assess business issues and develop solutions Working knowledge of the full lifecycle of software development and the broad emerging technology ecosystem Proven leadership qualities A demonstrable experience of designing and implementing emerging technology solutions with clients to deliver real business value Experience of working with or as part of a scrum team and delivering projects using Agile    Ideally, you’ll also have  Advanced degree relevant to digital delivery in emerging technology    What we look for Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you’ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.   What working at EY offers  EY offers a competitive remuneration package where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements. Plus, we offer:    Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you      About EY As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.   If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.   Join us in building a better working world. Apply now.  "
59,99b161fb21c5ae9625a2e11ed71833a3,https://www.mycareersfuture.sg/job/vp-operations-janio-technologies-99b161fb21c5ae9625a2e11ed71833a3,VP Operations,Full Time,JANIO TECHNOLOGIES PRIVATE LIMITED,"SINGAPORE INSTITUTE OF MGMT, 41 NAMLY AVENUE 267616",Middle Management,Logistics / Supply Chain,8000,12000,Monthly,23 Jan 2019,0,0,0,0,"About Janio: At Janio, we are building Asia’s leading logistics network by providing an integrated cross-border delivery solution for merchants across the globe. At our core, we operate as a technology platform serving some of the biggest ecommerce marketplaces, business owners and logistics partners alike, connecting these key players across Southeast Asia’s ecommerce ecosystem. Our mission is to create an integrated network that shrinks Asia’s supply chain network onto a single platform, becoming the backbone that supports the region’s growing ecommerce environment. The regional team in Singapore serves as the centerpiece by which the company extends our global coverage through a variety of regional partnerships across a broad spectrum of industries, ranging from airlines, ecommerce marketplaces and other logistics providers. Looking ahead, the team is currently incorporating elements of AI and machine learning to provide our customers with a suite of smart solutions to accelerate their growth within the region. We are on the lookout for highly talented individuals with a deep passion about ecommerce and delivery solutions to join our Implementation Team. We like people who are creative, independent and demonstrate strong entrepreneurial vigour. The individual should also possess a strong business acumen with a tenacity to solve difficult problems. As part of a lean and dynamic team tackling one of the biggest problems in the region, you will have exposure across multiple industry verticals while having a very direct impact on the success of the company.","Roles and Responsibilities: The VP of Operations serves as a trusted consultant and advisors to our customers and are involved in all phases of the customer lifecycle from implementation to periodic service updates, serving as the crucial link between the company and customer. You will help our clients success through carrying out duties such as:  Engage both external and internal stakeholders to understand priorities and challenges. Surface process gaps and recommend improvement areas through a methodical and data-driven approach. Develop a strong understanding of customer goals and align them with the necessary resources to achieve them Maintain continuous communication channels with our Operations and Sales team to deliver maximum value to our customers Maintain close relationships with local operations team ensure operational alignment and collaboratively enhancing processes for the betterment of cross-border clients. Provide a world-class service experience to our customers through timely and succinct communication via in-person meetings, phone and email Coach customers on our products, through online and offline presentations and demonstrations Wholly responsible for the development and successful implementation of new processes up till a complete handover to the relevant operations teams. Assist stakeholders with developing and implementing processes for new business initiatives "
60,dbd1402545afcbe2dc3137ae272af53f,https://www.mycareersfuture.sg/job/graphic-designer-janio-technologies-dbd1402545afcbe2dc3137ae272af53f,Graphic Designer,Full Time,JANIO TECHNOLOGIES PRIVATE LIMITED,"SINGAPORE INSTITUTE OF MGMT, 41 NAMLY AVENUE 267616",Junior Executive,Logistics / Supply Chain,2000,3000,Monthly,23 Jan 2019,0,0,0,0,"Job Description At Janio, we are building Asia’s leading logistics network by providing an integrated cross-border delivery solution for merchants across the globe. At our core, we operate as a technology platform serving some of the biggest ecommerce marketplaces, business owners and logistics partners alike, connecting these key players across Southeast Asia’s ecommerce ecosystem. Our mission is to create an integrated network that shrinks Asia’s supply chain network onto a single platform, becoming the backbone that supports the region’s growing ecommerce environment. The regional team in Singapore serves as the centrepiece by which the company extends our global coverage through a variety of regional partnerships across a broad spectrum of industries, ranging from airlines, ecommerce marketplaces and other logistics providers. Looking ahead, the team is currently incorporating elements of AI and machine learning to provide our customers with a suite of smart solutions to accelerate their growth within the region. We are on the lookout for highly talented individuals with a deep passion about ecommerce and delivery solutions to join our Marketing Team. We like people who are creative, independent and demonstrate strong entrepreneurial vigour. The individual should also possess a strong business acumen with a tenacity to solve difficult problems. As part of a lean and dynamic team tackling one of the biggest problems in the region, you will have exposure across multiple industry verticals while having a very direct impact on the success of the company. The role: Our graphic designer will play a crucial role in driving the creative development of our brand. Working closely with the marketing team, the individual will develop creative content for both external and internal communications. This includes the development of graphics for the company website, creation of visual assets for both digital content and print materials and the enhancement of existing brand elements. The individual will serve as a custodian of the company’s brand, ensuring consistency of branding in every form of communication.","Your responsibilities include:  Full involvement and ownership of the creative process from conceptualization through to creation. This spans all media platforms including:   Digital communications, websites, mobile apps and emails Marketing and sales materials Press and print advertising Video Logos and branding * Creation of original, engaging visual assets that are consistent with the company’s branding Collaborating with stakeholders to understand requirements and design relevant materials and content Other related duties as required  To succeed in this role, the ideal candidate should possess:  Strong understanding of visual and graphic design Ability to understand and communicate ideas effectively Ability to collaborate effectively and work independently to achieve objectives on time Ability to manage multiple projects and to prioritize effectively Proficiency in creative design tools e.g. Adobe Illustrator, Photoshop, InDesign, plus points for video editing software  Preferred Requirements  Background in art, design, communications or any relevant field of study Prior experience in web, UIUX design Prior experience in a design or creative role in agency or in-house is a plus Interest in entrepreneurship, technology, ecommerce and logistics  To Apply: Please include the following in your application: Portfolio, Resume (PDF), expected start date, expected salary."
61,f8326c0ccb52e32d94e47a72acf66a42,https://www.mycareersfuture.sg/job/creative-lead-janio-technologies-f8326c0ccb52e32d94e47a72acf66a42,creative lead,Full Time,JANIO TECHNOLOGIES PRIVATE LIMITED,"SINGAPORE INSTITUTE OF MGMT, 41 NAMLY AVENUE 267616",Middle Management,Logistics / Supply Chain,3000,5000,Monthly,23 Jan 2019,0,0,0,0,"About Janio: At Janio, we are building Asia’s leading logistics network by providing an integrated cross-border delivery solution for merchants across the globe. At our core, we operate as a technology platform serving some of the biggest ecommerce marketplaces, business owners and logistics partners alike, connecting these key players across Southeast Asia’s ecommerce ecosystem. Our mission is to create an integrated network that shrinks Asia’s supply chain network onto a single platform, becoming the backbone that supports the region’s growing ecommerce environment. The regional team in Singapore serves as the centrepiece by which the company extends our global coverage through a variety of regional partnerships across a broad spectrum of industries, ranging from airlines, ecommerce marketplaces and other logistics providers. Looking ahead, the team is currently incorporating elements of AI and machine learning to provide our customers with a suite of smart solutions to accelerate their growth within the region. We are on the lookout for a highly talented individual with a deep passion for ecommerce and delivery solutions to join our team. We are looking for someone who is creative, demonstrates strong entrepreneurial vigour and leadership. The individual should also possess a strong business acumen with a tenacity to solve difficult problems through creative means. As part of a lean and dynamic team tackling one of the biggest problems in the region, you will have exposure across multiple industry verticals while having a very direct impact on the success of the company. The Role: Our creative lead will play a crucial role in driving the creative development of our brand. Working closely with the CMO and the marketing team, the individual will drive the creative efforts of the company through managing and directing a team of in-house and agency partners. The candidate must have a strong understanding of various media types spanning from web, print, digital to video, and must be able to see the big picture as well as roll up their sleeves to create such assets alongside the team under tight timelines. The individual will also improve on existing branding, through development of brand elements, and serve as the custodian of the company’s brand, ensuring consistency of branding in every form of communication.  ","Your responsibilities include:  Being a trusted adviser to the CMO and marketing team on all things creative Managing and directing designers and creatives (in-house and agency) for all creative projects Development of brand and ensure consistency across channels and company Full involvement and supervision of the creative process from conceptualization through to production. This spans all media types including web, print, digital and video. Collaborating with stakeholders to understand requirements, translate these into project deliverables and design relevant materials and content alongside the creative team Other related duties as required  To succeed in this role, the ideal candidate should possess:  Strong understanding of multimedia production, web and graphic design Ability to understand and communicate ideas effectively Ability to manage team members and creative processes to achieve objectives on time Ability to manage multiple projects and to prioritize effectively Proficiency in creative design tools e.g. Adobe Illustrator, Photoshop, InDesign and video editing software Proficiency in UIUX, covering both UX planning and UI design  Preferred Requirements  Prior experience in a leadership role in a design or creative role in agency or in-house Prior experience in creating integrated content across all channels and platforms from digital, mobile to offline and print Prior experience in UIUX development for websites or web/ mobile applications Background in art, design, communications or any relevant field of study Interest in entrepreneurship, technology, ecommerce and logistics "
62,7e81697ca9cbf5b3c28913d43ebee6c8,https://www.mycareersfuture.sg/job/manager-technology-office-national-university-health-system-7e81697ca9cbf5b3c28913d43ebee6c8,"Manager, Technology Office (Database)",Full Time,NATIONAL UNIVERSITY HEALTH SYSTEM PTE. LTD.,1E KENT RIDGE ROAD 119228,Manager,Information Technology,4700,7400,Monthly,23 Jan 2019,0,0,0,0,"As Manager in the Technology Office, you will be part of the journey of building NUHS own AI platform and system. We are a fast-paced technology office in NUHS, building machine learning powered intelligent tools and end-to-end solutions for scenarios in healthcare domain. We are looking for individuals who are passionate about improving healthcare and saving lives with the use of technology. Job Responsibilities   Work with SQL, NoSQL databases. Perform routine database administrative tasks e.g. database monitoring, database profiling, backup and restore. Suggest and implement optimization and tuning for database. Recommend business continuity strategies and participate in disaster recovery exercise. Interact closely with development, technical team, and clinician throughout the development, staging, and production implementation phase. "," Minimum Bachelor’s degree in Computer Science or equivalent technical field. Good technical knowledge and skill in programming languages such as Python, Java, .NET. Familiar with Relational database management system e.g. SQL, MS SQL, and MySQL DB and NoSQL DB. Strong understanding and experience in designing, creating, and consuming APIs to communicate between various software  modules over the network. Able to perform routine DB administrative tasks like DB monitoring, DB profiling, backup and restore. Experience working in Unix/Linux environments. Familiar with Software Development Life Cycle. Possess sharp analytical and communication skills, as well as the ability to work independently and collaborate in a team. Working experience in healthcare domain, or in clinical setting, understanding basic clinical terms and jargons would be advantageous. "
63,aa4d8e23c83527f1b4230fa9448f9ffc,https://www.mycareersfuture.sg/job/business-program-manager-microsoft-operations-aa4d8e23c83527f1b4230fa9448f9ffc,Business Program Manager,Full Time,MICROSOFT OPERATIONS PTE LTD,,Non-executive,Information Technology,12600,18900,Monthly,23 Jan 2019,0,0,0,0,"  Team: Enterprise Services Operations team Location: Singapore   Microsoft Services mission is to lead and serve our customers and partners as they realize their full potential in a mobile-first, cloud-first world. We are a diverse group of technical architects, engineers, consultants and support professionals, more than 21,000 strong, serving customers in 191 countries and 46 languages. We drive over $5B in revenue annually.    Services continues to be the key differentiator in accelerating a customer transformation ensuring they get the most out of their technology investments. In order to support Microsoft’s transformation, we must continue to evolve what we sell, how we sell, how we deliver, how we operate, and how we drive consumption for the company.   Enterprise Services (ES) worldwide delivery organization focused on Global Domain Delivery. This new delivery model was designed to better align Delivery resources and support end-to-end offerings for our customers. Global Domains are aligned by technology and include a broad set of global expertise to create an agile delivery team that supports the customer lifecycle from pre-sales, to implementation, to proactive services.    Responsibilities     The ES Operations team which is part Planning and Business Excellence organization has a mandate to partner with Domain and Account aligned delivery Leadership to achieve Operational Excellence. As a part of this endeavor we have an opening for a seasoned Planning & Insights leader to partner with the Enterprise Services Leaders.  Deliver robust annual/ quarterly delivery planning (demand and capacity plans) for both Consulting and Premier business by providing key insights / inputs from Areas / Time zones to central planning & domain facing planning team and vice versa. Collaborate with diverse set of stakeholders in Areas, Multi-sub areas, subsidiaries on delivery planning syndicate with Finance and GCM counterparts and ensure an integrated plan is built between Areas and domains on demand and capacity for ES business Support clarity across area and domains on planning inputs/outputs and connected processes / RACIs Provide leadership in enabling the below challenges to represent before appropriate forums / decision makers for resolution and circle back to the respective stakeholders     Accuracy and Feasibility of Domain & Area Interlock Capacity distribution across Multi Sub Area & Sales Locations Area specific capacity around Language, Pub-Sec, Security Cleared Balance area needs and specifics with affordability and all up plan Monitor and revise Area /Sub level Resource and PPG Mix Sold Margin vs. Delivery Margin at Area Level Respond and clarify Area concerns on Demand & Capacity Drive Premier One Plan Process in Areas Provide insights from Areas on PNEH, Burn rate, service mix, technology mix relating to premier delivery Area Presales Planning & maintenance Area pivot for CFO Forecasting Support monthly & adhoc capacity analytics requirements (TZ, Area & Sales Location) level Deliver capacity insights for Area xBUs     Provide forward looking business visibility based on advanced statistical analytics, predictive models and deep insights (Scenario modelling, Trend Analysis, Correlations/ Knowledge Discovery, Machine Learning, Statistical Forecasting, Early Warning System etc.). Ability to handle large, complex and disparate data sets; build models ground up, interpret the story behind the numbers and syndicate the output with broader set of stakeholders. Identify trends and inconsistencies in data to provide perspective and business solutions. Present data-driven analyses to solve complex business problems. Provide analytics and insights to the business leaders to have consequential business review rhythms (QBR/ MBR) by closely monitoring the Key Performance Indicators, Critical Success Factors, Scorecard Metric, Cost and Productivity levers, Sales Motion, Leading/ Lagging Indicators, Red Pockets, Root Cause Analyses, Recovery Plans, Investments/ ROIs. Enable the business leaders on Governance, Control and Compliance aspects.  Key Success Criteria and Competencies required   Future orientation balanced with current state through strategic and systems thinking and a global mindset Influencing stakeholders to achieve impact through collaboration, presence and strong communication skills Judgment based Scoping of problems by identifying key issues, inputs, stakeholders, and outcomes. Applies a broad functional knowledge base to solve problems with confidence and persuades others Dealing with Ambiguity Change Management Analytical problem solving​ ","Qualifications   Experience and Qualification include:   Ideal candidates should have 15+ years of experience in areas related to Planning, Analytics, Finance, Operations, services delivery etc., and should be self-motivated, confident in working with Senior Leaders and comfortable working in a matrix organization. The candidate need to be able to achieve results through influence across multiple organizations.    Bachelors in business, information technology, Finance , Operations or related field, and/or equivalent experience Proven stakeholder management skills, especially in a cross organizational matrixed teams A strong business aptitude coupled with an affinity or appreciation for technology and the advancement of technology in thriving organizations Ability to effectively prioritize and coordinate multiple work streams of activities Knowledge and understanding of the financial and operational functions of a delivery organization (i.e., budget, time logging, optimizing cost, escalation processes, invoicing, capacity management) Ability to develop strong, productive relationships with colleagues and management to meet targeted objectives An analytical mindset with the ability define metrics, reports, interpret results, and make recommendations on appropriate courses of action Excellent communication, collaboration, organizational, time management, presentation, and writing skills Proactive, self-motivated, and team-oriented with strong capabilities to lead and thrive in start-up type organizations​    Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.   Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  "
64,281294e17d288eab6796aa959766159b,https://www.mycareersfuture.sg/job/senior-associate-associate-operations-intelligence-data-specialist-cbg-ops-to-dbs-bank-281294e17d288eab6796aa959766159b,"Senior Associate  /  Associate, Operations Intelligence Data Specialist, CBG Ops, T&O (180004EF)","Permanent, Full Time",DBS BANK LTD.,,Junior Executive,Banking and Finance,4000,8000,Monthly,22 Jan 2019,0,0,0,1," Responsible to perform end to end Machine Learning project from Stake Holder Buyin, Data Modelling and Model Deployment and Performance Work with internal, external stakeholders and technology partners for data and analysis requirements. Manage ad-hoc analysis to solve / respond to operations issue, urgent investigations and  business questions, using statistical and predictive modelling techniques Provide insights through data visualization and presentations to deliver productivity, identify root cause of a situation and to provide actionable insights. "," Compulsory to be strong in programming and modelling skills in Python and/or R, SPARK and be proficient in Machine Learning/Statistical Modelling techniques. Strong in Problem Solving Skills and With high Emotional Intelligence Minimum 3 years’ experience in banking or consulting industry with knowledge in conceptualization of requirements to implementation & data analysis process. Well versed with banking data warehouse structures, data models and source systems Experience in model performance monitoring, model development, validation and testing.  Familiar with the use of Qlikview/ Tableu for both development and reporting. Proficient in SQL and query optimization on  Teradata and Hadoop platform.  Familiar with data modelling concepts such as star schema. Strong written and oral communication skills "
65,f5b8fa19cc76b90f4f5e235e4a9329fb,https://www.mycareersfuture.sg/job/project-officer-nanyang-technological-university-f5b8fa19cc76b90f4f5e235e4a9329fb,Project Officer,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798","Professional, Executive","Engineering, Sciences / Laboratory / R&D",3000,4350,Monthly,22 Jan 2019,1,0,0,0,"The project officer is going to work on the exciting areas of edge computing, including but not limited to the following topics:  Machine learning at the edge Applications of edge computing Chip design and architecture exploration for edge computing  Algorithm design and optimization for edge computing "," Bachelor degree and above in computer science/engineering or electronic engineering at a top-tier university. Experience in any of these areas: Internet-of-Things, edge computing, machine learning, design automation, embedded systems, computer architecture, silicon nanophotonics, computer-aided design, etc. Self-motivated with good communication and teamworking skills. Good spoken and written English. Fresh graduates are welcome to apply. Experienced applicants are preferred.    We regret that only shortlisted candidates will be notified."
66,f4a85908b1dea9966cfa8c8d0202bc82,https://www.mycareersfuture.sg/job/data-scientist-government-technology-agency-f4a85908b1dea9966cfa8c8d0202bc82,Data Scientist,Permanent,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Middle Management,"Information Technology, Public / Civil Service",5000,8000,Monthly,22 Jan 2019,0,0,0,1,"We are looking for Data Scientists who are interested in using data to draw insights that will result in policy changes or business process optimization, benefiting the public. The applicant will be scoping the project with stakeholders, using data sets across Government Agencies, applying business acumen to tease out relevant impactful insights, and presenting insights in a clear, concise manner by using appropriate visualizations. He/she should have some training and working experiences on data analytics, and should be comfortable with hands-on data manipulation, data modelling and data visualization. He/she should also be comfortable with engaging stakeholders on refining their business problems, and prioritizing the more potential impactful ones. The analytics work that we do are typically action oriented and cross-cutting across various domains such as social, economic and infrastructure sectors. Over time, he/she will gain exposure to various policy and ops domains and become more adept in bridging business users and technical expertise. What to Expect:  Work closely with stakeholders to understand their needs/pain points, scope the problem and develop business case on how to turn data into critical information and knowledge that are actionable, to be used for policy making, streamlining operations or developing solutions for citizens.  Perform data cleaning, pre-processing, feature engineering and build relevant models to conduct meaningful analysis. Know which visualization technique is appropriate to communicate the insight effectively. Iterate with the stakeholders to perform subsequent deep dives based on the initial insights. Depending on the required business needs, design of dashboards and interactive visualization as tools for data exploration Potentially deployed to other Government Agencies to be their resident Data Scientist. This will involve executing data analytics projects for the Agency, as well as providing data analytics consulting services to the Agency, which could include providing advice on how to structure analytics teams in the Agency, data analytics visioning, planning and implementation strategies to build strong pipeline of impactful projects  How to Succeed:  Bachelor Degree in Computer Science, Statistics, Economics, Quantitative Social Science, or related degrees. We will also factor in relevant certifications (e.g. Coursera) Minimum 2 years of relevant working experience, preferably in public sector or data science field Ability to take a broad, strategic perspective as well as drill deep to understand business needs and challenges Understand key concepts, techniques and considerations in machine learning and data analytics Training and relevant experience in one or more of the following areas:  Data science tools such as R, Python Visual analytics technologies like Tableau, Qlik   Excellent communication skills, both oral and written, with ability to pitch ideas and influence stakeholders Strong analytical, conceptualization and problem solving skills Team player with strong organization and people handling skills Passionate for the use of analytics and data to improve Public Service ",None
67,6ed5060f4b486e0148f169e6c3b9cc05,https://www.mycareersfuture.sg/job/data-scientist-government-technology-agency-6ed5060f4b486e0148f169e6c3b9cc05,Data Scientist,Permanent,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Middle Management,"Information Technology, Public / Civil Service",5000,8000,Monthly,22 Jan 2019,0,0,0,1,"We are looking for Data Scientists who are interested in using data to draw insights that will result in policy changes or business process optimization, benefiting the public. The applicant will be scoping the project with stakeholders, using data sets across Government Agencies, applying business acumen to tease out relevant impactful insights, and presenting insights in a clear, concise manner by using appropriate visualizations. He/she should have some training and working experiences on data analytics, and should be comfortable with hands-on data manipulation, data modelling and data visualization. He/she should also be comfortable with engaging stakeholders on refining their business problems, and prioritizing the more potential impactful ones. The analytics work that we do are typically action oriented and cross-cutting across various domains such as social, economic and infrastructure sectors. Over time, he/she will gain exposure to various policy and ops domains and become more adept in bridging business users and technical expertise. What to Expect:  Work closely with stakeholders to understand their needs/pain points, scope the problem and develop business case on how to turn data into critical information and knowledge that are actionable, to be used for policy making, streamlining operations or developing solutions for citizens.  Perform data cleaning, pre-processing, feature engineering and build relevant models to conduct meaningful analysis. Know which visualization technique is appropriate to communicate the insight effectively. Iterate with the stakeholders to perform subsequent deep dives based on the initial insights. Depending on the required business needs, design of dashboards and interactive visualization as tools for data exploration Potentially deployed to other Government Agencies to be their resident Data Scientist. This will involve executing data analytics projects for the Agency, as well as providing data analytics consulting services to the Agency, which could include providing advice on how to structure analytics teams in the Agency, data analytics visioning, planning and implementation strategies to build strong pipeline of impactful projects  How to Succeed:  Bachelor Degree in Computer Science, Statistics, Economics, Quantitative Social Science, or related degrees. We will also factor in relevant certifications (e.g. Coursera) Minimum 2 years of relevant working experience, preferably in public sector or data science field Ability to take a broad, strategic perspective as well as drill deep to understand business needs and challenges Understand key concepts, techniques and considerations in machine learning and data analytics Training and relevant experience in one or more of the following areas:  Data science tools such as R, Python Visual analytics technologies like Tableau, Qlik   Excellent communication skills, both oral and written, with ability to pitch ideas and influence stakeholders Strong analytical, conceptualization and problem solving skills Team player with strong organization and people handling skills Passionate for the use of analytics and data to improve Public Service ",None
68,5f3459ef82a41bdfb8e62598c18e9c16,https://www.mycareersfuture.sg/job/data-scientist-government-technology-agency-5f3459ef82a41bdfb8e62598c18e9c16,Data Scientist,Permanent,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Middle Management,"Information Technology, Public / Civil Service",5000,8000,Monthly,22 Jan 2019,0,0,0,1,"We are looking for Data Scientists who are interested in using data to draw insights that will result in policy changes or business process optimization, benefiting the public. The applicant will be scoping the project with stakeholders, using data sets across Government Agencies, applying business acumen to tease out relevant impactful insights, and presenting insights in a clear, concise manner by using appropriate visualizations. He/she should have some training and working experiences on data analytics, and should be comfortable with hands-on data manipulation, data modelling and data visualization. He/she should also be comfortable with engaging stakeholders on refining their business problems, and prioritizing the more potential impactful ones. The analytics work that we do are typically action oriented and cross-cutting across various domains such as social, economic and infrastructure sectors. Over time, he/she will gain exposure to various policy and ops domains and become more adept in bridging business users and technical expertise. What to Expect:  Work closely with stakeholders to understand their needs/pain points, scope the problem and develop business case on how to turn data into critical information and knowledge that are actionable, to be used for policy making, streamlining operations or developing solutions for citizens.  Perform data cleaning, pre-processing, feature engineering and build relevant models to conduct meaningful analysis. Know which visualization technique is appropriate to communicate the insight effectively. Iterate with the stakeholders to perform subsequent deep dives based on the initial insights. Depending on the required business needs, design of dashboards and interactive visualization as tools for data exploration Potentially deployed to other Government Agencies to be their resident Data Scientist. This will involve executing data analytics projects for the Agency, as well as providing data analytics consulting services to the Agency, which could include providing advice on how to structure analytics teams in the Agency, data analytics visioning, planning and implementation strategies to build strong pipeline of impactful projects  How to Succeed:  Bachelor Degree in Computer Science, Statistics, Economics, Quantitative Social Science, or related degrees. We will also factor in relevant certifications (e.g. Coursera) Minimum 2 years of relevant working experience, preferably in public sector or data science field Ability to take a broad, strategic perspective as well as drill deep to understand business needs and challenges Understand key concepts, techniques and considerations in machine learning and data analytics Training and relevant experience in one or more of the following areas:  Data science tools such as R, Python Visual analytics technologies like Tableau, Qlik   Excellent communication skills, both oral and written, with ability to pitch ideas and influence stakeholders Strong analytical, conceptualization and problem solving skills Team player with strong organization and people handling skills Passionate for the use of analytics and data to improve Public Service ",None
69,9009a25125763fe497e1e755cac0873e,https://www.mycareersfuture.sg/job/technical-consultant-itconnectus-9009a25125763fe497e1e755cac0873e,Technical Consultant,Contract,ITCONNECTUS PTE. LTD.,,"Executive, Senior Executive",Information Technology,4000,7000,,22 Jan 2019,1,0,0,0," Take part in complex tasks such solution design, coding, and migrations. Implement projects related to micro-services (MuleSoft), machine learning, AI. Write up and manage detailed design and technical documents. Conduct functional and performance testing. Assist with the estimation of new projects.  Provide technical support, perform trouble-shooting functions and resolve customer issues."," Diploma/ bachelor’s Degree in IT or related studies. At least of 4 years’ experience in delivering projects related to logistic, micro-services, machine learning and/or AI. Proficient in Core Java, J2EE, Micro-service, Oracle DB, Message Queue, Linux OS, Angular, JS, Python. Ability to work to deadlines and under high pressure. Excellent communication skills, both verbally and written. Good analytical and problem-solving skills.  Full SDLC environment will be helpful."
70,d288c05fd34949c206ed57e37dd67fc1,https://www.mycareersfuture.sg/job/research-fellow-national-university-singapore-d288c05fd34949c206ed57e37dd67fc1,Research Fellow,"Contract, Full Time",NATIONAL UNIVERSITY OF SINGAPORE,21 LOWER KENT RIDGE ROAD 119077,Non-executive,"Engineering, Sciences / Laboratory / R&D",4300,7000,Monthly,22 Jan 2019,1,0,0,0,"  Collaborate with professors and colleagues, lead or conduct innovative research on the following topics (but not limited to):   Providing intelligent solutions for logistics, maritime/urban transportation systems and related topics   Development of sophisticated algorithms to solve complex optimization problems   Development of Simulation and Optimization Platform   Scheduling and planning of Vehicles or Autonomous vehicles   Investigating advanced automation technology (for warehouse, manufacturing, maritime system…etc.)   Warehouse Layout design and Capacity analysis   Developing Real Time decision supporting toolbox     Contribute to the academic research in the relevant domains, and publish high-tier journal papers and conference papers   Lead student projects and industrial projects with implementable outcomes   Response to the deliverables of research and industrial projects   Preferred Skills   Good knowledge on the following subjects   Logistics and Transportation, Supply Chain Network, Warehouse, Manufacturing   Optimization and Algorithm Development   Strong technical skills: C++, R, Python, Java, SAS…   Simulation Modeling   Machine learning     Demonstrated potential in research publication in high-tier journals   Please submit:   CV   Cover letter explaining why you want to leave your current job   Academic transcripts   Last/ currently drawn pay and expected salary   Past research publications (or working papers)  ","  Good Ph.D. degree in industrial engineering; computer science; operations research; operations management; statistics and mathematics; or in other relevant science or engineering disciplines   Trackable academic records   Solid data analytics, mathematical and computer modeling skills   Proficient in written and spoken communication, good academic writing skills   Self-disciplined working alone and also in a team environment, with colleagues and joint industry collaborators  "
71,1e7a2170ae00170cdf89cf8a8fcd5b3c,https://www.mycareersfuture.sg/job/school-infocomm-lecturer-republic-polytechnic-1e7a2170ae00170cdf89cf8a8fcd5b3c,School of Infocomm - Lecturer (Data Analytics  /  Machine Learning  /  Artificial Intelligence),Full Time,Republic Polytechnic,9 WOODLANDS AVENUE 9 738964,Unknown,"Education and Training, Public / Civil Service",,,Monthly,21 Jan 2019,0,0,0,0,"Responsibilities  The school is looking for dynamic individuals who can perform the following tasks for our full time and part-time course offerings in the areas of Data Analytics, Machine Learning and Artificial Intelligence.  Curriculum development, facilitate student learning, project supervision, assessment setting and associate tasks for modules related to Data Analytics, Machine Learning, Artificial Intelligence and other foundational ICT related modules Designing and developing materials, including e-learning Supporting student development in areas of mentoring, career guidance and competition training Soliciting and supervising student internships Participating in the delivery of outreach activities to market the school and our course offerings to potential students Possibly involved in supervising poly-wide projects as well as off-campus projects with the industry  You will also get the opportunity to work closely with other staff in developing new and innovative technologies to showcase such capabilities via use of AI in edge devices and conversational UI for use in bots. You should possess good oral and written skills along with a high degree of self-motivation and ability to work effectively in a team environment.      Requirements   Qualification in IT / Computer Science or its related fields, with at least 3-6 years of relevant industry experience Knowledge of Machine Learning algorithms, Deep Neural Network and reinforcement learning Certification/Knowledge on cognitive tools like Microsoft Bot Framework & Cognitive Services, IBM Watson, Amazon Alexa etc. Demonstrated ability in the application of Machine Learning/AI in real-world industrial settings with large scale data Experienced in distributed processing, database modeling, database development, data pipelines, API design, optimization, modelling, big data, model implementation, data visualization, messaging systems Experienced in using Deep Learning frameworks such as TensorFlow, Caffe, Caffe2, PyTorch, or MxNet, Keras or CNTK Experienced in using Apache Kafka, Apache Spark, Scala, Apache Flink, Apache Airflow, Apache Storm, Python, NumPy, Pandas, Mesos, Cassandra, HBase, ZooKeeper, Map-Reduce, Hadoop HDFS, Hadoop YARNGood understanding with actual implementation experiences using Data Analytics, Machine Learning and Artificial Intelligence  ",None
72,9fd89948c5f7fb212933a41d777919e6,https://www.mycareersfuture.sg/job/machine-learning-engineering-ntuc-link-9fd89948c5f7fb212933a41d777919e6,Machine Learning Engineering,Full Time,NTUC LINK PRIVATE LIMITED,,Professional,"Information Technology, Others",7000,14000,Monthly,21 Jan 2019,0,0,0,0,"The rapid adoption of technology and mobile devices have contributed to vast new flows of information which are larger in volume, faster in velocity, diverse in variety, and requires veracity of the information for use. This new type of information composed of structured and unstructured data, broadly known as big data (and combined with tools and platforms), if utilized well, could radically improve business performance.   As the organization embarks to become a data-driven organization, significant decisions and value generation will be based on the data that we capture and deploy. The 7 SE’s range in a broad scope of data from FairPrice (retail), Income (insurance), Unity (healthcare), FoodFare (F&B), LearningHub (training), First Campus(ECE), Link (membership). The leaders of these groups are keen to utilize the data to drive growth, deliver customer service, and create personalized experiences. The Data Architecture & Information Management Team will manage and govern the overall datasets of the organization and drive the execution of how the data will be collected, stored, processed and applied across these social enterprises (SEs). In this role you will work with various industries and most diverse datasets in Singapore.   Responsibility:  Manage cross-SEs data warehouses cluster, and partner with domain experts and data scientists to understand business requirements and build efficient and scalable data solutions. Design of frameworks and architectures of big data platform. Productionalize analytics, machine learning and AI applications, and develop new, differentiated workflows. Develop API and connect with different systems in order to support online and offline business. Develop and support the data pipeline to integrate new data from various data sources with emerging data technologies. Collaborate with internal team to define analytics, machine learning, AI application roadmap, and product features. Be an industry thought leader on integrating machine learning applications into various product features. ","Preferred qualification and skills:   Bachelor/mater in computing or any related discipline with 3-5 years of working experience Big data platform development (Hadoop/Hive/Hbase/Spark, etc.) Experience working with machine learning techniques, framework and applications. REST/Web API development and management Python, Java programming experience Self-motivated and proactive, willing to learn new things Good communication skills and strong team player Ability to successfully manage accounts during implementation of new technology and implementation "
73,9d7571a7e3c3d70df9b06fff70de9ca1,https://www.mycareersfuture.sg/job/machine-learning-engineer-ntuc-link-9d7571a7e3c3d70df9b06fff70de9ca1,Machine Learning Engineer,Full Time,NTUC LINK PRIVATE LIMITED,,Manager,"Information Technology, Others",7000,13000,Monthly,21 Jan 2019,0,0,0,0,"The rapid adoption of technology and mobile devices have contributed to vast new flows of information which are larger in volume, faster in velocity, diverse in variety, and requires veracity of the information for use. This new type of information composed of structured and unstructured data, broadly known as big data (and combined with tools and platforms), if utilized well, could radically improve business performance.   As the organization embarks to become a data-driven organization, significant decisions and value generation will be based on the data that we capture and deploy. The 7 SE’s range in a broad scope of data from FairPrice (retail), Income (insurance), Unity (healthcare), FoodFare (F&B), LearningHub (training), First Campus(ECE), Link (membership). The leaders of these groups are keen to utilize the data to drive growth, deliver customer service, and create personalized experiences. The Data Architecture & Information Management Team will manage and govern the overall datasets of the organization and drive the execution of how the data will be collected, stored, processed and applied across these social enterprises (SEs). In this role you will work with various industries and most diverse datasets in Singapore.  Responsibility: ·       Manage cross-SEs data warehouses cluster, and partner with domain experts and data scientists to understand business requirements and build efficient and scalable data solutions ·       Design of frameworks and architectures of big data platform  ·       Productionalize analytics, machine learning and AI applications, and develop new, differentiated workflows ·       Develop API and connect with different systems in order to support online and offline business ·       Develop and support the data pipeline to integrate new data from various data sources with emerging data technologies ·       Collaborate with internal team to define analytics, machine learning, AI application roadmap, and product features. ·       Be an industry thought leader on integrating machine learning applications into various product features.","Preferred qualification and skills:  ·       Bachelor/mater in computing or any related discipline with 3-5 years of working experience ·       Big data platform development (Hadoop/Hive/Hbase/Spark, etc.) ·       Experience working with machine learning techniques, framework and applications. ·       REST/Web API development and management ·       Python, Java programming experience ·       Self-motivated and proactive, willing to learn new things ·       Good communication skills and strong team player ·       Ability to successfully manage accounts during implementation of new technology and implementation"
74,d04deb801430e40ad61da664a81ee464,https://www.mycareersfuture.sg/job/project-officer-nanyang-technological-university-d04deb801430e40ad61da664a81ee464,Project Officer,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798","Professional, Non-executive","Engineering, Sciences / Laboratory / R&D",3200,4200,Monthly,21 Jan 2019,1,0,0,0,"Two research associate/project officer positions are available at Energy Research Institute @ NTU (ERI@N), Nanyang Technological University, in the areas of Artificial Intelligence, Machine Learning, Data Analytics on Battery/Energy Storage System Safety.  The work includes the development of data collection system to operate with different communication protocols, IoT system development, energy/power data analysis and machine learning models for prediction/classification. Candidate is to have rich experience in coding for communication/IoT/Database, machine learning and data analytics. Candidates are expected to be well versed in at least 2 programming languages (eg. C/C++, Java, Python etc.).and to be able to contribute to the project right away. Knowledge of battery storage system would be a plus."," Bachelor Degree in Computer Science/ Electrical Engineering or related discipline Research experience in programming, data analytics and machine learning (including graduate study) Excellent analytical, software and programming skills in e.g. C/C++, Python, Java, Matlab etc. At least 1 year of relevant working experience and/or relevant research experience (including undergraduate and graduate study) Knowledge of time series analysis is a plus.  For interested applicants, please send your Cvs to D r Koh at ELMKOH@ntu.edu.sg"
75,a5eafaf15d0ef051d32d2dea180a3593,https://www.mycareersfuture.sg/job/research-associate-nanyang-technological-university-a5eafaf15d0ef051d32d2dea180a3593,Research Associate,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798","Professional, Non-executive","Engineering, Sciences / Laboratory / R&D",3800,4500,Monthly,21 Jan 2019,1,0,0,0,"Two research associate/project officer positions are available at Energy Research Institute @ NTU (ERI@N), Nanyang Technological University, in the areas of Artificial Intelligence, Machine Learning, Data Analytics on Battery/Energy Storage System Safety.The work includes the development of data collection system to operate with different communication protocols, IoT system development, energy/power data analysis and machine learning models for prediction/classification. Candidate is to have rich experience in coding for communication/IoT/Database, machine learning and data analytics. Candidates are expected to be well versed in at least 2 programming languages (eg. C/C++, Java, Python etc.).and to be able to contribute to the project right away. Knowledge of battery storage system would be a plus."," Master Degree in Computer Science/ Electrical Engineering or related discipline Research experience in programming, data analytics and machine learning (including graduate study) Excellent analytical, software and programming skills in e.g. C/C++, Python, Java, Matlab etc. At least 1 year of relevant working experience and/or relevant research experience (including undergraduate and graduate study) Knowledge of time series analysis is a plus  For interested applicants, please send your Cvs to D r Koh at ELMKOH@ntu.edu.sg"
76,94b09c997523b7f2ab40dba84e1027e1,https://www.mycareersfuture.sg/job/solution-specialist-oracle-capac-services-unlimited-company-94b09c997523b7f2ab40dba84e1027e1,Solution Specialist,Full Time,ORACLE CAPAC SERVICES UNLIMITED COMPANY (SINGAPORE BRANCH),"GALAXIS, 1 FUSIONOPOLIS PLACE 138522",Professional,Information Technology,7500,15000,Monthly,21 Jan 2019,0,0,0,0,"We are looking for talented, passionate and self-motivated individuals with software development skills in Information Extraction and Retrieval, Knowledge/Ontology Engineering, Semantic Web and Linked Data, Knowledge Graphs, NLP to join the APAC Cloud Pursuit team. The individual will be working on innovative internal and customer engagements involving a confluence of AI/Machine Learning, Big Data, Chatbots/Conversational Interfaces and bespoke solutions in a fast paced and dynamic environment  Role Requirements - Technical  An subject matter expert with over 6 to 10+ or years of deep hands-on expertise in architecting, development and deployment of Information extraction and retrieval systems on both structured and un-structured data  Proven expertise in working with business/domain users in designing and implementing Ontologies and Taxonomies  Strong hands-on knowledge and expertise in Graph Databases/Knowledge Graphs such as Oracle Big Data Spatial and Graph, Oracle PGX, Neo4J, Google Knowledge Graph, Datastax Enterprise Graph  Deep knowledge and hands-on expertise on Semantic Web, Linked/Open Data and associated standards such as OWL, SPARQL, RDF, SKOS etc  Experience in tools such as Protégé, Cytoscape and other reasoning and inferencing tools  Proficiency in search platforms such as Solr, Elasticsearch, Lucene and other technologies  Real world experience in developing data/event processing and pipeline architectures using technologies and frameworks such as Kafka, Spark, Hadoop and open source frameworks  Experience building scalable systems involving cleansing, classifying and validating large data repositories or data sets  Well versed with the Agile methodology and the full DevOps lifecycle using tools such as Jenkins, Wrecker, GitOps and others  Well versed with modern container runtimes like Docker, Rocket and Orchestration frameworks like Kubernetes and Docker Swarm  Good exposure in Machine learning and Natural Language Processing (NLP) libraries like SKlearn, Stanford NLP, TensorFlow, etc.  Exposure and working experience with Visualization tools and frameworks such as d3.js, vis.js, cytoscape.js  Ability to evaluate tools and technologies and proactively pick up cutting edge trends in the industry Team Profile and Charter The Cloud Pursuit team is an Asia Pacific wide divisional level technical team that supports the regional In-Country Sales and Solution Engineering teams in emerging or specialized solution areas where the in-country teams may require deep expertise. The team focusses on working with customers and internal teams in designing, validating and recommending cloud architectures and delivering repeatable solutions spanning various technologies like AI/ML, Big Data, Databases, Cloud Infrastructure, High Performance Computing and other emerging areas. The team is responsible for  Thought Leadership and Evangelism • Align with the APAC Business Development leads to execute Business Development plans with clear defined Go-To-Market initiatives. Collaborate with and leverage regional and country sales presales teams, partners, field marketing and consulting as required • Communicate Oracle’s value and leadership in technology solutions through participation as a speaker in Oracle and external industry and marketing events. Attend relevant domain and industry meetings and conferences. • Create solution assets and content such as Whitepapers, thought leadership articles, sales plays and other collateral to extend the solution profile in APAC.  Solution Development/Enablement  Work with customers and internal teams on complex and emerging cross-product solutions especially in emerging technologies and solutions  Building of repeatable assets/IP that can be reused across multiple product lines.  Deliver internal training workshops as required to build regional capability and capacity.  Evaluating Partner competency and helping develop and execute Partner training as required to build a healthy ecosystem.  Field and Opportunity Support • Share knowledge with internal and external technical communities • Support Sales, Pre-Sales (Solution Engineering) and Development teams in building and evangelizing Oracle’s suite of Cloud products • Work with field and customers on product solutioning and architecture input to maximize win rate on Strategic deals. • Advise and mentor local Sales Consultants/Solution Engineers in Solutioning, demo preparation, RFx responses, delivery approach and other required support. Build SC skills through deal shadowing to increase regional self-sufficiency. Product Management and Customer References • Collaborate with APAC and HQ Product Management and Development for enablement, opportunities and development content • Drive/Work with customers on reference implementations","Candidate Experience and Profile  A minimum of 8-12 or years plus experience in the IT industry working on product engineering, product development or data architect roles and involved construction of Knowledge bases using Graph and Semantic Web technologies  Passionate in learning new technologies and self-motivated  Demonstrate track record in supporting customers, partners and internal stakeholders in positioning and executing complex technical architectural requirements  Good Exposure to Oracle Cloud Services (PaaS or IaaS) or cloud offerings from other vendors such as Amazon, Azure, IBM Softlayer  Very strong communication and evangelism skills with a willingness to share knowledge  Strong internal and customer relationship building and presentation skills  Self-motivated team player with ability to work as an independent contributor but also as a team player in a matrixed organization  Willingness to travel to meet customers or speak and present at external events"
77,ef09b4743a2a5df13dfdcc8452d97aff,https://www.mycareersfuture.sg/job/solution-specialist-oracle-capac-services-unlimited-company-ef09b4743a2a5df13dfdcc8452d97aff,Solution Specialist,Full Time,ORACLE CAPAC SERVICES UNLIMITED COMPANY (SINGAPORE BRANCH),"GALAXIS, 1 FUSIONOPOLIS PLACE 138522",Professional,Information Technology,5000,10000,Monthly,21 Jan 2019,0,0,0,0,"We are looking for talented, passionate and self-motivated individuals with software development skills in Information Extraction and Retrieval, Knowledge/Ontology Engineering, Semantic Web and Linked Data, Knowledge Graphs, NLP to join the APAC Cloud Pursuit team. The individual will be working on innovative internal and customer engagements involving a confluence of AI/Machine Learning, Big Data, Chatbots/Conversational Interfaces and bespoke solutions in a fast paced and dynamic environment  Role Requirements - Technical  An subject matter expert with over 6 to 10+ or years of deep hands-on expertise in architecting, development and deployment of Information extraction and retrieval systems on both structured and un-structured data  Proven expertise in working with business/domain users in designing and implementing Ontologies and Taxonomies  Strong hands-on knowledge and expertise in Graph Databases/Knowledge Graphs such as Oracle Big Data Spatial and Graph, Oracle PGX, Neo4J, Google Knowledge Graph, Datastax Enterprise Graph  Deep knowledge and hands-on expertise on Semantic Web, Linked/Open Data and associated standards such as OWL, SPARQL, RDF, SKOS etc  Experience in tools such as Protégé, Cytoscape and other reasoning and inferencing tools  Proficiency in search platforms such as Solr, Elasticsearch, Lucene and other technologies  Real world experience in developing data/event processing and pipeline architectures using technologies and frameworks such as Kafka, Spark, Hadoop and open source frameworks  Experience building scalable systems involving cleansing, classifying and validating large data repositories or data sets  Well versed with the Agile methodology and the full DevOps lifecycle using tools such as Jenkins, Wrecker, GitOps and others  Well versed with modern container runtimes like Docker, Rocket and Orchestration frameworks like Kubernetes and Docker Swarm  Good exposure in Machine learning and Natural Language Processing (NLP) libraries like SKlearn, Stanford NLP, TensorFlow, etc.  Exposure and working experience with Visualization tools and frameworks such as d3.js, vis.js, cytoscape.js  Ability to evaluate tools and technologies and proactively pick up cutting edge trends in the industry Team Profile and Charter The Cloud Pursuit team is an Asia Pacific wide divisional level technical team that supports the regional In-Country Sales and Solution Engineering teams in emerging or specialized solution areas where the in-country teams may require deep expertise. The team focusses on working with customers and internal teams in designing, validating and recommending cloud architectures and delivering repeatable solutions spanning various technologies like AI/ML, Big Data, Databases, Cloud Infrastructure, High Performance Computing and other emerging areas. The team is responsible for  Thought Leadership and Evangelism • Align with the APAC Business Development leads to execute Business Development plans with clear defined Go-To-Market initiatives. Collaborate with and leverage regional and country sales presales teams, partners, field marketing and consulting as required • Communicate Oracle’s value and leadership in technology solutions through participation as a speaker in Oracle and external industry and marketing events. Attend relevant domain and industry meetings and conferences. • Create solution assets and content such as Whitepapers, thought leadership articles, sales plays and other collateral to extend the solution profile in APAC.  Solution Development/Enablement  Work with customers and internal teams on complex and emerging cross-product solutions especially in emerging technologies and solutions  Building of repeatable assets/IP that can be reused across multiple product lines.  Deliver internal training workshops as required to build regional capability and capacity.  Evaluating Partner competency and helping develop and execute Partner training as required to build a healthy ecosystem.  Field and Opportunity Support • Share knowledge with internal and external technical communities • Support Sales, Pre-Sales (Solution Engineering) and Development teams in building and evangelizing Oracle’s suite of Cloud products • Work with field and customers on product solutioning and architecture input to maximize win rate on Strategic deals. • Advise and mentor local Sales Consultants/Solution Engineers in Solutioning, demo preparation, RFx responses, delivery approach and other required support. Build SC skills through deal shadowing to increase regional self-sufficiency. Product Management and Customer References • Collaborate with APAC and HQ Product Management and Development for enablement, opportunities and development content • Drive/Work with customers on reference implementations","Candidate Experience and Profile  A minimum of 8-12 or years plus experience in the IT industry working on product engineering, product development or data architect roles and involved construction of Knowledge bases using Graph and Semantic Web technologies  Passionate in learning new technologies and self-motivated  Demonstrate track record in supporting customers, partners and internal stakeholders in positioning and executing complex technical architectural requirements  Good Exposure to Oracle Cloud Services (PaaS or IaaS) or cloud offerings from other vendors such as Amazon, Azure, IBM Softlayer  Very strong communication and evangelism skills with a willingness to share knowledge  Strong internal and customer relationship building and presentation skills  Self-motivated team player with ability to work as an independent contributor but also as a team player in a matrixed organization  Willingness to travel to meet customers or speak and present at external events"
78,38969bf8c12ff2a72f1e27e73b8e883a,https://www.mycareersfuture.sg/job/data-scientist-ntuc-link-38969bf8c12ff2a72f1e27e73b8e883a,Data Scientist,Full Time,NTUC LINK PRIVATE LIMITED,,"Junior Executive, Senior Executive",Information Technology,5000,10000,Monthly,21 Jan 2019,0,0,0,0,"NTUC Enterprise is in the midst of its digital transformation to becoming a data-driven organization. Significant emphasis is placed on extracting value from the data we capture and deploy across our businesses. The 7 entities under the NTUC Enterprise umbrella comprise a range of industries: FairPrice (retail), Income (insurance), Unity (healthcare), FoodFare (F&B), LearningHub (training), First Campus (education), Link (loyalty). The leaders of these groups are keen to tap on data science to drive growth, deliver customer service, and create personalised experiences. This is a great opportunity to be working with some of the most diverse data sets in Singapore. POSITION SUMMARY: We are seeking a candidate with strong advanced analytics experience to fill a data scientist position within NTUC Advanced Analytics Centre’s Customer and Digital Analytics team. This team has oversight on all analytics related to our loyalty program’s customer database, deals and rewards mobile app, and digital marketing. The role will be responsible for executing a mix of business analytics and data science, geared towards i) delivering valuable insights to aid business strategy; ii) developing predictive analytics models to increase customer engagement and personalise offers. You will be proficient in the application of analytics and data science to customer transaction data, web/app clickstream data, and unstructured data in areas such as customer segmentation and targeting, acquisition and retention, cross-sell and up-sell propensity, and recommender systems. Responsibilities: ·       Work closely with business units to understand their priorities on an ongoing basis. ·       Help define an analytical strategy to address the identified opportunities, covering analytical approaches, data requirements and technology requirements. ·       Work with various teams to plan, identify, collect and integrate data from multiple systems. ·       Automate workflows for feature engineering and model updating. ·       Develop machine learning models and perform statistical analysis to solve problems in the following domains: customer segmentation, acquisition and retention, cross-sell and up-sell propensity, recommender systems. ·       Perform A/B testing of prototypes on marketing campaigns. ·       Communicate with machine learning engineers to support the productionisation of prototypes. ·       Communicate and present analytical findings and recommendations to senior management and key business stakeholders.","  Requirements: ·       Masters in Statistics, Mathematics, Computer Science, Operations Research, Physics, Economics, Data Analytics, or a related quantitative field. ·       Familiarity with consumer marketing, and with relevant industry experience in retail, consumer goods, ecommerce, technology, or consumer banking/insurance. ·       Good understanding of statistical analysis, data mining and machine learning. ·       Experience in working with large structured and unstructured data sets. Familiarity with streaming event data from web/app analytics is an advantage. ·       Prior exposure to web analytics tools like Google Analytics/GA 360/Adobe Catalyst, and knowledge of tag management and data layer setup in Martech/Adtech is an advantage. ·       Proficiency in at least two of the following languages/tools: R, Python, Spark, Scala, Hive, SQL. ·       Working knowledge of BI and visualisation tools like Tableau/Qlik/Power BI. ·       Team player who is able to build strong partnerships and collaborations."
79,e3d719ae4f575900ddcc9ba608babf44,https://www.mycareersfuture.sg/job/research-fellow-nanyang-technological-university-e3d719ae4f575900ddcc9ba608babf44,Research Fellow,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798",Professional,Sciences / Laboratory / R&D,5800,5800,Monthly,21 Jan 2019,1,0,0,0,"Established in 1981, the SCHOOL OF ELECTRICAL AND ELECTRONIC ENGINEERING (EEE) http://www.eee.ntu.edu.sg is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With more than 150 faculty members and an enrolment of more than 4,000, of which about 1,000 are graduate students, it is one of the largest EEE schools in the world and ranks 6th in the field of Electrical & Electronic Engineering in the 2017 QS World University Rankings by Subjects.  We are a new lab under the School of Electronics and Electrical Engineering & School of Chemical and Biomedical Engineering in NTU, Singapore.Our lab is dedicated to developing novel micro-nano bio-integrated lasers for the next generation biomedical applications, including nanophotonic biochips, bioimaging, and medical diagnosis.This is an emerging field which integrates the beauty of lasers, optofluidics, biophotonics, nanophotonics, electronics, machine learning, devices, and biomedicine.    Development of energy devices. To study bio-fuel powered energy and laser emissions. Photosynthesis material which has very wide applications recently and emerging tools for optoelectronics devices. Investigate on how different wavelength/ mechanical stress affects the laser and energy output.  Also to develop image analysis tools and machine learning to classify.  Application Procedure: Interested candidates please send your CV/resume to:   Prof Chen, Yu-Cheng School of Electrical & Electronic Engineering Nanyang Technological University  50 Nanyang Avenue Singapore 639798 E-mail Address for E-mailed Applications: yucchen@ntu.edu.sg Only shortlisted candidates will be notified for interview.","Job Requirements: (Educational Qualifications, Skills, etc.)     Required backgrounds:  PhD in Photonics, Material science. 2 years experience in nanofabrication optical system/simulation is required. Cell culture is highly preferred.    "
80,275fec83726ab43fbae82ac28c3ff631,https://www.mycareersfuture.sg/job/solution-specialist-oracle-capac-services-unlimited-company-275fec83726ab43fbae82ac28c3ff631,Solution Specialist,Full Time,ORACLE CAPAC SERVICES UNLIMITED COMPANY (SINGAPORE BRANCH),"GALAXIS, 1 FUSIONOPOLIS PLACE 138522",Professional,Information Technology,7500,15000,Monthly,21 Jan 2019,0,0,0,0,"We are looking for talented, passionate and self-motivated individuals with Big Data and related development/software engineering skills to join the APAC Cloud Pursuit team. The individual will be working on innovative internal and customer engagements involving a confluence of AI, Big Data and bespoke solutions in a fast paced and dynamic environment  Role Requirements - Technical  An subject matter expert with over 6-8 or years of deep hands-on expertise in architecting, core development/engineering and deployment of big data solutions that can be deployed to modern day cloud infrastructures (Oracle Cloud, AWS, Azure)  Real world experience in developing data/event processing and pipeline architectures using technologies and frameworks such as Kafka, Spark, Hadoop and open source frameworks  Experience building scalable systems involving large data volumes or data sets  Well versed with the Agile methodology and the full DevOps lifecycle using tools such as Jenkins, Wrecker, GitOps and others  Well versed with modern container runtimes like Docker, Rocket and Orchestration frameworks like Kubernetes and Docker Swarm  Sound understanding of Relational, Graph, Hadoop and NoSQL data stores  Knowledge of search platforms such as Solr, Elasticsearch and Lucene  Proven experience in requirement gathering, data curation and testing high performance and distributed scalable computing solutions preferably in telecom, financial services or media or advertising domains  Exposure in Machine learning and Natural Language Processing (NLP) libraries like SKlearn, Stanford NLP, TensorFlow, etc.  Knowledge of Javascript Frameworks e.g D3.js, Cytoscape.js, Angular, Bootstrap, Oracle JET  Ability to evaluate tools and technologies and proactively prototype cutting edge trends in the industry   Team Profile and Charter The Cloud Pursuit team is an Asia Pacific wide divisional level technical team that supports the regional In-Country Sales and Solution Engineering teams in emerging or specialized solution areas where the in-country teams may require deep expertise. The team focusses on working with customers and internal teams in designing, validating and recommending cloud architectures and delivering repeatable solutions spanning various technologies like AI/ML, Big Data, Databases, Cloud Infrastructure, High Performance Computing and other emerging areas. The team is responsible for  Thought Leadership and Evangelism • Align with the APAC Business Development leads to execute Business Development plans with clear defined Go-To-Market initiatives. Collaborate with and leverage regional and country sales presales teams, partners, field marketing and consulting as required • Communicate Oracle’s value and leadership in technology solutions through participation as a speaker in Oracle and external industry and marketing events. Attend relevant domain and industry meetings and conferences. • Create solution assets and content such as Whitepapers, thought leadership articles, sales plays and other collateral to extend the solution profile in APAC. Solution Development/Enablement  Work with customers and internal teams on complex and emerging cross-product solutions especially in emerging technologies and solutions  Building of repeatable assets/IP that can be reused across multiple product lines.  Deliver internal training workshops as required to build regional capability and capacity.  Evaluating Partner competency and helping develop and execute Partner training as required to build a healthy ecosystem. Field and Opportunity Support • Share knowledge with internal and external technical communities • Support Sales, Data Scientists and Development teams in building and evangelizing Oracle’s suite of Cloud products • Work with field and customers on product solutioning and architecture input to maximize win rate on Strategic deals. • Advise and mentor local Sales Consultants/Solution Engineers in Solutioning, demo preparation, RFx responses, delivery approach and other required support. Build SC skills through deal shadowing to increase regional self-sufficiency.  Product Management and Customer References  Collaborate with APAC and HQ Product Management and Development for enablement, opportunities and development content  Drive/Work with customers on reference implementations","Candidate Experience and Profile  A minimum of 8-12 or years plus experience in the IT industry working on product engineering, product development or product architecture roles and involved in modern data driven architectures around both structured and un-structured data  Passionate in learning new technologies  Demonstrate track record in supporting customers, partners and internal stakeholders in positioning and executing complex technical architectural requirements  Good Exposure to Oracle Cloud Services (PaaS or IaaS) or cloud offerings from other vendors such as Amazon, Azure, IBM Softlayer  Very strong communication and evangelism skills with a willingness to share knowledge  Strong internal and customer relationship building and presentation skills  Self-motivated team player with ability to work as an independent contributor but also as a team player in a matrixed organization  Willingness to travel to meet customers or speak and present at external events"
81,9293b0c0ced549a29301a134bdc65c90,https://www.mycareersfuture.sg/job/solution-specialist-oracle-capac-services-unlimited-company-9293b0c0ced549a29301a134bdc65c90,Solution Specialist,Full Time,ORACLE CAPAC SERVICES UNLIMITED COMPANY (SINGAPORE BRANCH),"GALAXIS, 1 FUSIONOPOLIS PLACE 138522",Professional,Information Technology,5000,10000,Monthly,21 Jan 2019,0,0,0,0,"We are looking for talented, passionate and self-motivated individuals with Big Data and related development/software engineering skills to join the APAC Cloud Pursuit team. The individual will be working on innovative internal and customer engagements involving a confluence of AI, Big Data and bespoke solutions in a fast paced and dynamic environment  Role Requirements - Technical  An subject matter expert with over 6-8 or years of deep hands-on expertise in architecting, core development/engineering and deployment of big data solutions that can be deployed to modern day cloud infrastructures (Oracle Cloud, AWS, Azure)  Real world experience in developing data/event processing and pipeline architectures using technologies and frameworks such as Kafka, Spark, Hadoop and open source frameworks  Experience building scalable systems involving large data volumes or data sets  Well versed with the Agile methodology and the full DevOps lifecycle using tools such as Jenkins, Wrecker, GitOps and others  Well versed with modern container runtimes like Docker, Rocket and Orchestration frameworks like Kubernetes and Docker Swarm  Sound understanding of Relational, Graph, Hadoop and NoSQL data stores  Knowledge of search platforms such as Solr, Elasticsearch and Lucene  Proven experience in requirement gathering, data curation and testing high performance and distributed scalable computing solutions preferably in telecom, financial services or media or advertising domains  Exposure in Machine learning and Natural Language Processing (NLP) libraries like SKlearn, Stanford NLP, TensorFlow, etc.  Knowledge of Javascript Frameworks e.g D3.js, Cytoscape.js, Angular, Bootstrap, Oracle JET  Ability to evaluate tools and technologies and proactively prototype cutting edge trends in the industry   Team Profile and Charter The Cloud Pursuit team is an Asia Pacific wide divisional level technical team that supports the regional In-Country Sales and Solution Engineering teams in emerging or specialized solution areas where the in-country teams may require deep expertise. The team focusses on working with customers and internal teams in designing, validating and recommending cloud architectures and delivering repeatable solutions spanning various technologies like AI/ML, Big Data, Databases, Cloud Infrastructure, High Performance Computing and other emerging areas. The team is responsible for  Thought Leadership and Evangelism • Align with the APAC Business Development leads to execute Business Development plans with clear defined Go-To-Market initiatives. Collaborate with and leverage regional and country sales presales teams, partners, field marketing and consulting as required • Communicate Oracle’s value and leadership in technology solutions through participation as a speaker in Oracle and external industry and marketing events. Attend relevant domain and industry meetings and conferences. • Create solution assets and content such as Whitepapers, thought leadership articles, sales plays and other collateral to extend the solution profile in APAC. Solution Development/Enablement  Work with customers and internal teams on complex and emerging cross-product solutions especially in emerging technologies and solutions  Building of repeatable assets/IP that can be reused across multiple product lines.  Deliver internal training workshops as required to build regional capability and capacity.  Evaluating Partner competency and helping develop and execute Partner training as required to build a healthy ecosystem. Field and Opportunity Support • Share knowledge with internal and external technical communities • Support Sales, Data Scientists and Development teams in building and evangelizing Oracle’s suite of Cloud products • Work with field and customers on product solutioning and architecture input to maximize win rate on Strategic deals. • Advise and mentor local Sales Consultants/Solution Engineers in Solutioning, demo preparation, RFx responses, delivery approach and other required support. Build SC skills through deal shadowing to increase regional self-sufficiency.  Product Management and Customer References  Collaborate with APAC and HQ Product Management and Development for enablement, opportunities and development content  Drive/Work with customers on reference implementations","Candidate Experience and Profile  A minimum of 8-12 or years plus experience in the IT industry working on product engineering, product development or product architecture roles and involved in modern data driven architectures around both structured and un-structured data  Passionate in learning new technologies  Demonstrate track record in supporting customers, partners and internal stakeholders in positioning and executing complex technical architectural requirements  Good Exposure to Oracle Cloud Services (PaaS or IaaS) or cloud offerings from other vendors such as Amazon, Azure, IBM Softlayer  Very strong communication and evangelism skills with a willingness to share knowledge  Strong internal and customer relationship building and presentation skills  Self-motivated team player with ability to work as an independent contributor but also as a team player in a matrixed organization  Willingness to travel to meet customers or speak and present at external events"
82,055717462fa8a755793c02058f6c826e,https://www.mycareersfuture.sg/job/ibn-post-doctoral-fellow-astar-research-entities-055717462fa8a755793c02058f6c826e,IBN - Post-doctoral Fellow (Yi Yan's Group),"Contract, Full Time",A*STAR RESEARCH ENTITIES,,Non-executive,Sciences / Laboratory / R&D,4500,9000,Monthly,21 Jan 2019,1,0,0,0,  Job Descriptions:   Mutant selection of bacteria against various antibiotics and novel polymers Evaluation of synergistic effect of antibiotics combination and antibiotic/polymer combination DNA and RNA extraction for sequencing and analysis Evaluation of in vitro and in vivo antimicrobial activity Evaluation of in vitro and in vivo toxicity TEM/SEM analysis of cells Machine learning based on data from literature and our own data Maintenance of several pieces of equipment ," Ph.D. degree in Microbiology, Biomaterials, Bioengineering, Polymer Chemistry or related disciplines 4 years of research experience Good at biomaterials, cell culture, SEM/TEM, confocal microscopy, flow cytometry and animal study Excellent publication track record Excellent work attitude and teamwork Good communication skills    The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice.   We regret that only shortlisted candidates will be notified."
83,8b5da75de25895c30327ec3089392bf7,https://www.mycareersfuture.sg/job/supply-chain-data-bi-architect-dell-global-bv-8b5da75de25895c30327ec3089392bf7,Supply Chain Data / BI Architect,Full Time,DELL GLOBAL B.V. (SINGAPORE BRANCH),"MARINA BAY FINANCIAL CENTRE, 8 MARINA BOULEVARD 018981",Middle Management,Information Technology,12000,16000,,21 Jan 2019,0,0,0,0,"Roles and responsibilities   Architecting the BI solution, data model and platform to further advance Dell’s competitiveness in the areas of global supply chain and operations.    Expert in data modeling and technologies and capable of setting the architectural direction of the portfolio for the organization. You are comfortable representing the needs of the organization to the rest of the company, especially the various IT groups.   Build a data platform that will be used to solve challenging problems that inform business decisions to create value for the company.   Enable and educate a group of data scientists, to advance a data model and environment that provides them with access to large, complex, multi-dimensional datasets that they will analyze with a variety of tools and use cases   Think strategically about how to use data to drive competitive advantages.   Sense of urgency when troubleshooting problems and assist your teammates when needed   Have a healthy respect for the rules to ensure projects comply with company standards and practices, but not let barriers slow you down   Keep abreast of new and current statistical methodologies, machine learning and data wrangling techniques.   The position offers   Opportunity to drive cutting-edge strategies and digital solutions for one of the industry’s most respected supply chain   Access and interaction with executive leadership team at a Fortune 50 company   Opportunity to work with a highly motivated team that invests in your development   A commitment to diversity and inclusion   Competitive compensation including bonus plans and a great benefit package   Exciting internal career opportunities to different roles  ","Role requirements   A BS in Computer Science, ideally an MS   10+ years of experience with progressive responsibility   Deep architectural understanding of RMDBS systems with a focus on PostresSQL and massively parallel processing database technologies like Greenplum & Teradata.   Outstanding management and communication skills   Experienced with automation   Experience with measuring and maintaining data quality as well as data curation strategy   Deep and Broad Knowledge in the Microsoft Stack and/or the Pivotal Stack, especially the cloud with a focus on high scale, high reliability enterprise systems   Flexibility, and organizational skills are also essential  "
84,0f58d2d55a7e672af3b2f2c166b7f725,https://www.mycareersfuture.sg/job/project-officer-nanyang-technological-university-0f58d2d55a7e672af3b2f2c166b7f725,Project officer,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798",Professional,Sciences / Laboratory / R&D,3200,3200,Monthly,21 Jan 2019,1,0,0,0,"Established in 1981, the SCHOOL OF ELECTRICAL AND ELECTRONIC ENGINEERING (EEE) http://www.eee.ntu.edu.sg is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With more than 150 faculty members and an enrolment of more than 4,000, of which about 1,000 are graduate students, it is one of the largest EEE schools in the world and ranks 6th in the field of Electrical & Electronic Engineering in the 2017 QS World University Rankings by Subjects.  We are a new lab under the School of Electronics and Electrical Engineering & School of Chemical and Biomedical Engineering in NTU, Singapore. Our lab is dedicated to developing novel micro-nano bio-integrated lasers for the next generation biomedical applications, including nanophotonic biochips, bioimaging, and medical diagnosis. This is an emerging field which integrates the beauty of lasers, optofluidics, biophotonics, nanophotonics, electronics, machine learning, devices, and biomedicine.    Development of novel lasers, this includes the engineering of optical cavities, nanophotonics structures, and simulation of lasers. This position will be working on simulation and also experimental optics for biosensing and modulation.     Application Procedure: Interested candidates please send your CV/resume to:   Prof Chen, Yu-Cheng School of Electrical & Electronic Engineering Nanyang Technological University  50 Nanyang Avenue Singapore 639798 E-mail Address for E-mailed Applications: yucchen@ntu.edu.sg Only shortlisted candidates will be notified for interview.","Required backgrounds:   BS in Photonics, Physics, Material science, or Electronics. 1 year experience in optical system/simulation is required. "
85,0b6b1075e3b14f0b69f410647f6722d8,https://www.mycareersfuture.sg/job/data-science-intern-singapore-gunvor-singapore-0b6b1075e3b14f0b69f410647f6722d8,"Data Science Intern (6 Months), Singapore",Internship,GUNVOR SINGAPORE PTE. LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Junior Executive,Others,,,Monthly,19 Jan 2019,0,1,0,0,"Overview of Role The person will join the Cross Barrel trading desk and will learn and gain insights about trading operations and processes. This is an exciting opportunity for students with keen interest in the commodity trading industry, and will allow him/her to gain more insight into how a trading business is built and maintained. The candidate will focus on the data acquisition and treatment aspect: supporting desk Quantitative Analyst by identifying and on-boarding relevant datasets, and assist the development of Machine Learning techniques to extract information from datasets. Main Responsibilities  Collaborate with quantitative and fundamental analyst to identify and on board relevant datasets Help elaborating automatic dataset cleaning process Help develop machine learning algorithms to interpret those datasets automatically Work closely with current trading team and analysts to identify trading opportunities Analyze market trends and gather market intelligence to help the team to make more informed decisions Perform other ad-hoc duties assigned by manager ","Candidate’s Profile The individual should have the following experience:  Minimum Bachelor’s Degree in Statistics, Computer Science or Finance Strong IT skills (Python and MongoDB. C++ or C# would be a plus) Strong statistics and modeling background (including Classification Algorithms, Machine Learning, etc.…) Strong knowledge of financial markets and financial derivatives Prior trading/commodities house experience will be advantageous, but not necessary Strong verbal and written communication skills in English Inquisitive and meticulous with strong analytical and computational skills Self-motivated and able to work independently and as a team player Ability to work under pressure "
86,38ad00cacb9beddc5e5b4a206592fd8f,https://www.mycareersfuture.sg/job/senior-data-engineer-jewel-paymentech-38ad00cacb9beddc5e5b4a206592fd8f,Senior Data Engineer,"Permanent, Full Time",JEWEL PAYMENTECH PTE. LTD.,"TECHLINK, 31 KAKI BUKIT ROAD 3 417818",Professional,Information Technology,8000,10000,Monthly,19 Jan 2019,0,0,0,1,"As a Senior Data Engineer you will get to work on a wide range of problems using the cutting-edge technologies in Big Data and Data Science. You are required to translate Data Science and Machine learning based solutions into scalable code, and to develop innovative solutions to collect/cleanse/store/process data. In case you are very passionate about building high throughput, low latency, fault tolerant software then this position is for you.   To be successful in this role, you will need to: •               Analyze requirements and deliver solutions that meet requirements. •               Write code by using best software development practices. •               Produce code that meets security standards. •               Estimate timelines and deliver solutions within agreed timeline. •               Write clear & concise documentation for solutions/code. •               Contribute ideas within team to build better code. •               Continuously improve knowledge on new technologies. •               Excellent in English, both written and spoken.  ","Education & Experience which will be relevant •    Three or more years of relevant work experience. •     B.Sc., Masters, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.). •    Knowledge in the use and application of Python to develop complex software. •    General machine learning techniques and technologies (e.g., Bayesian classifiers, regression techniques, graphical models, working with unbalanced data-sets) as well as applications (e.g., predictive analytics). •     NoSQL Database Programming/Development. •     Manipulation of various types of data; data cleaning, filtering, and pre-processing for example with text/images. •     Knowledge and experience in the use of cloud computing platforms (AWS/Azure/GCP/etc). •     SQL familiarity and database technologies (e.g., row versus column stores, in-memory DB, DB clustering, HA for DB). •     Familiarity and experience with Linux environments. •     Understanding batch (e.g., Apache Hadoop / Map Reduce) and stream processing approaches / frameworks (e.g., Apache Spark).   You’re a perfect fit us if you are •    A master problem solver, and able to use own initiative to develop suitable solutions. •    A strong communicator with the ability to convey information to others in a simple and unambiguous way. •    An innovative, original thinker approach to job responsibilities, methods and processes. •    An energetic person who can be trusted to get a job done.  "
87,39b5db50208d9233a67ccb842c22285f,https://www.mycareersfuture.sg/job/lead-data-scientist-jewel-paymentech-39b5db50208d9233a67ccb842c22285f,Lead Data Scientist,"Permanent, Full Time",JEWEL PAYMENTECH PTE. LTD.,"TECHLINK, 31 KAKI BUKIT ROAD 3 417818",Professional,Information Technology,8000,12000,Monthly,19 Jan 2019,0,0,0,1,"As a Lead Data Scientist, you’ll drive the Data Science Team and work closely with senior management. Our ideal candidate is results-focused, innovative and has a solid quantitative background and a good business understanding. Responsibilities Jewel Paymentech is looking for a highly-motivated person to lead the Data Science Team and support us in developing cutting edge fraud and risk management solutions.  Lead a multi-disciplined team that will take full ownership of turning discoveries and ideas into functional models. You’ll use the model’s output to create and improve products for our customers, preferably in short development cycles Guide and mentor others in the Data Science Team on the methodologies best suited to solve real-world issues Build, test and deploy machine learning models to combat fraud and other payment risk issues Lead Research & Development efforts on how to improve and take Data Science at Jewel to the next level "," Requirements  Seven or more years of relevant work experience (including at least one year of exposure to payments, banking or FinTech) BSc, Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) Excellent English communication skills; the ability to convey your message to team members and other stakeholders Proficient in Python and Scikit-Learn/Pandas Proficiency in using Amazon Web Services Proficiency in using any graph databases: Neo4J, OrientDB, AllegroGraph, JanusDB, etc.Proficiency in Spark ML/MLLib Additional advantage with proficiency in Natural Language Processing Additional advantage with proficiency in using Keras, TensorFlow, Caffe, Torch/PyTorch, Theano, mxnet or any other Deep Learning framework Prior experience with some of the following models: Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Game Theory, Mechanism Design and/or Latent Dirichlet Allocation (LDA) "
88,9ef645dbfe82318320c529b3a4e62bbf,https://www.mycareersfuture.sg/job/machine-learning-engineer-a-it-software-services-9ef645dbfe82318320c529b3a4e62bbf,Machine Learning Engineer,"Contract, Full Time",A-IT SOFTWARE SERVICES PTE LTD,"INTERNATIONAL PLAZA, 10 ANSON ROAD 079903",Senior Executive,Information Technology,6000,11000,Monthly,18 Jan 2019,1,0,0,0,"Building machine learning & analytics platform and working with data scientists to create, optimize and productionize of machine learning models and building data pipelines for machine learning systems for various business units within the org.","• Build and improve machine learning and analytics platform.  o Develop components of machine learning and analytics platform.  o Improve the machine learning workflow, from data exploration, model experimentation/prototyping to production.  o Build framework to support machine learning and data-driven business activities at large scale.    • Work with data scientists to build end-to-end machine learning and analytics solution to solve business challenges.  o Build data pipeline for machine learning systems.  o Turn advanced machine learning models created by data scientists into end-to-end production grade system.  o Build analytics platform components to support data collection, exploratory, and integration from various sources being data API, RDBMS, or big data platform.  o Optimize efficiency of machine learning algorithm by applying state-of-the-art technologies, i.e. distributed computing, concurrent programming, or GPU parallel computing.       • Excellent understanding of software engineering principles and design patterns.  • Excellent programming skills in Python, Scala, or Java.  • Working knowledge of big data technology stack: Hadoop/Yarn, Hive, HBase, and Spark.  • Experience to one or more commercial / open source data warehouses or data analytics systems, e.g. Teradata, is a big plus.  • Experience to one or more NoSQL databases is a big plus.  • Hands-on experience in Cloud platforms, e.g. AWS, or containerization/ virtualization platforms, e.g. Docker/Kubernetes, is a big plus.  • Experience to any data science or machine learning platform, e.g. IBM Data Science Experience or Cloudera Data Science Workbench, is a big plus.  • Good understanding of data science and machine learning technologies and methodologies is a big plus.  • Exposure to mainframe system is a plus.  • Passion about machine learning and data-driven intelligence system.  • Excellent communication and presentation skills in English.  • Team player, self-starter, ability to work on multiple projects in parallel is necessary.  • Experience in software engineering, devops automation, and big data engineering  • Experience working in multi-cultural environments    "
89,68e1c2c9c64234ca60eab70844fbb8d7,https://www.mycareersfuture.sg/job/scientist-i2r-astar-research-entities-68e1c2c9c64234ca60eab70844fbb8d7,Scientist (Data Analytics) /  I2R (A*STAR),"Contract, Full Time",A*STAR RESEARCH ENTITIES,"UOB PLAZA, 80 RAFFLES PLACE 048624",Professional,Sciences / Laboratory / R&D,4500,9000,Monthly,18 Jan 2019,1,0,0,0,"About the Institute for Infocomm Research (I²R) The Institute for Infocomm Research (I²R) is a member of the Agency for Science, Technology and Research (A*STAR) family and is Singapore’s largest ICT research institute. Our strategic thrusts are in the spheres of intelligence, communications and media and our research capabilities are in shared sensor networks, public-public/public-private data-sharing platform, big data analytics and visualization solutions. For more information about I2R, please visit www.i2r.a-star.edu.sg We are looking for data scientists who can contribute on data analytics R&D projects. Researchers with expertise in the areas of natural language processing, text mining and analytics, deep learning, machine learning, and/or knowledge and semantics-based data analytics are welcome. The successful candidates have opportunities to work with experienced data scientists to work on interesting yet challenging real-world problems in applying deep learning for natural language processing and text mining, as well as in synergistically integrating text analytics with other types of data (e.g. vision, audio, financial data, user profiles, geo-temporal data, knowledge base) for heterogeneous data analytics.  Job Responsibilities:  Design and develop new analytics technologies Work with experienced data scientists to address real-world problems from well-known industry collaborators Demonstrate long-term vision, while effectively supporting short-term goals ", PhD in computer science or other related fields Familiar with analytics tools Python/R Being an excellent team player Good interpersonal and communication skills  The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.
90,240a558ea06e9a5dd9ed1867a035a6e6,https://www.mycareersfuture.sg/job/senior-data-research-executive-gets-asia-240a558ea06e9a5dd9ed1867a035a6e6,Senior Data Research Executive,Permanent,GETS ASIA PTE. LTD.,"THE CRIMSON, 31 SCIENCE PARK ROAD 117611","Executive, Junior Executive",Information Technology,5000,8000,,18 Jan 2019,0,0,0,1,"Key Accountabilities You will be accountable for the data analytics, ML & AI part of the product.   Role & Responsibities    Collaborate with product manager, presales & other users to analyse requirements Lead analysis, design and development & maintenance of AI & ML models, algorithms in the modules used within the product.  Design, develop & maintain the data processing and ingestion routines required for the AI/ML engine. Analyze source data and data flows, working with structured and unstructured data Collect requirement and assist product manager & architect with solution architecture. Assist in the gap analysis with customers, system integration testing, user acceptance testing, & implementation of projects where AI/ML is being used. Collaborate in the creation/enhancement of data platform solutions (Data Marts, Cubes) to facilitate decision making Assist to explore new technologies, alternatives, new models etc when needed.  Guide and mentor others team members in the use of AI/Machine Learning ","Minimum Qualification You shall be either a Bachelor’s Degree in Computer Science, MIS, Computer Engineering, or similar   Experience required We are looking for candidates who are strong team players, with great attitude and a passion to succeed in today’s world of technological disruption. You will likely be someone who is results focused, a creative problem solver, customer centric and a good communicator.   Accompanying these, we shall be expecting you to have:    2-3 years of relevant working experience and overall 5+ years of experience. Specialization in: Python programming, R, Data Analytics, Data Processing & Ingestion Techniques. AWS tools & related technologies, 1-2 years of experience with Machine Learning and Artificial Intelligence techniques and tools such as neural networks, regression, classification and clustering would be an advantage Familiarity with data analytics applications & data modeling Demonstrated passion for analytics/AI & ML and the ability to explore and keep updated with current trends. Strong aptitude for learning new technologies and analytics techniques Good communication skills.  Self-motivated with high degree of intellectual curiosity and a positive attitude. Highly self-motivated and able to work independently as well as in a team environment. Willingness to “do whatever it takes to get the job done”.    Preferred Experience   Strong programming skills in Python Used AWS & Cloud Computing 1-2 years of experience with Machine Learning and Artificial Intelligence techniques and tools Experience in developing & deploying Web based/J2EE applications Knowledge on AI models like Random Forest, Regression, Cluster Analysis "
91,1c8f71d86523e7911f4b303eedefcf1f,https://www.mycareersfuture.sg/job/project-officer-nanyang-technological-university-1c8f71d86523e7911f4b303eedefcf1f,Project Officer,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798",Professional,Sciences / Laboratory / R&D,3000,3200,Monthly,18 Jan 2019,1,0,0,0,"A Project Officer position is available in the School of Physical & Mathematical Sciences at Nanyang Technological University. The candidate will work on research projects about applications of machine learning algorithms. He/She is required to replicate the codes and results of the assigned papers, and implement the improvements under guidance. He/She will be mainly responsible for data collection/extraction, data cleaning, coding of algorithms, and conducting numerical studies for various applications."," Minimum Bachelor’s degree in Mathematics, Statistics, Computer Science, or related fields (with at least second class or equivalent honour or minimum 1-year working experience in data analysis) Knowledge in finance/economics is required but the exception is made for the candidates with good academic records Familiar with scientific programming, e.g. R language Ability to work independently or as a team player  Applicants are required to submit cover letter, curriculum vitae, and soft-copies of transcripts. Two reference letters will be required if the candidate is shortlisted. We regret only shortlisted candidates will be notified."
92,cb19026c04d291f44112432e6550e2e9,https://www.mycareersfuture.sg/job/head-accountant-generals-department-cb19026c04d291f44112432e6550e2e9,Head (Data Architect),Full Time,Accountant-General's Department,,Unknown,"Accounting / Auditing / Taxation, Public / Civil Service",,,Monthly,18 Jan 2019,0,0,0,0,"Head (Data Architect)
To architect, design and administer the Whole-of-Government (WOG) enterprise data analytics platform (FI@Gov) for the public sector finance and internal audit community.
The key objective of the AGD-Business Analytics directorate is to transform the finance and audit processes through data analytics, and to drive a data-driven approach in decision making. This includes strengthening data analytics capabilities and competencies to strengthen governance, optimise resource management and drive productivity.
The key roles fulfilled by this job include to:

Administer the development and maintenance of the public sector finance data warehouse and data architecture. This includes developing and implementing best practices to ensure optimal data quality, integrity, governance and system performance.
Drive data integration, data modelling, analytics and reporting deliverables in collaboration with business analysts and technology partners.
Manage large scale development and deployment of big data infrastructure and platform;
Review and govern design principles to ensure quality and performant design of dashboards and tools on the Business Intelligence platform powered by Microstrategy.
Plan and implement the data strategy and technology roadmap for the WOG finance analytics platform. This includes monitoring emerging trends of data analytics technologies, including related technologies in the area of robotics and artificial intelligence, and propose the technology roadmap for adoption and application.
Manage the deployment of advanced analytics applications with data pipelines integrated with the overall enterprise grade system architecture and infrastructure.
Manage a team of data analyst and data scientist, overseeing related projects from end-to-end, including user requirement studies, prototyping, development, testing and deployment.
Ensure proper documentation of the data warehouse and analytics platform, including design architecture, data schema, operations management procedures and system functional specifications.

 
 
Requirement

Tertiary qualification in computer science
At least 10 years of experience on enterprise data solutions and architecture
Competency in Microstrategy architecture is strongly preferred
A good understanding of big data technologies, with at least 3 years of experience in Hadoop ecosystem
Ability to independently architect and maintain a hybrid data platform, integrating Hadoop with SQL data warehouse
A good understanding of business intelligence tools and data science techniques like machine learning and text mining, with competency in open-source scripting language (e.g. R, Python) is advantageous
Experience in vendor management and project management is preferred
Team player who can work well with stakeholders from different public agencies
Self-motivated to learn and keeps up to date with the latest analytical technologies in the industry
Confident communicator, with good writing and presentation skills

If you are shortlisted for the position, you should hear from us within 30 days of the closing date of the advertisement. ",None
93,a96a631d59c7ac9051ecca1970aba36a,https://www.mycareersfuture.sg/job/product-development-engineer-a96a631d59c7ac9051ecca1970aba36a,Product Development Engineer (68886),"Permanent, Full Time",Company Undisclosed,,"Fresh/entry level, Executive",Engineering,3500,3700,Monthly,18 Jan 2019,0,0,0,1,"Responsibilities:  The position focuses on the device analysis of advanced microprocessors and graphics processors based on 16/14nm FINFET and sub-10nm technologies. Perform comprehensive failure analysis including transistor nano-probing, electrical characterization using AFM, Electron Microscopy and Material Analysis. Develop advanced FA techniques to tackle latest FINFET technology and Multi-core products. Explore use of Machine learning / AI for Device Analysis applications. Work in deep collaboration with World-wide Design, Product, Reliability and Foundry Engineering teams to resolve complex new product bring-up, yield and reliability issues. Work closely with Scientific Instruments manufacturers, Universities and Research Institutes to develop new and innovative failure analysis tools and techniques. To provide inputs on technical roadmap to tackle advancing process technology nodes. "," B.Eng, M.Eng in Electrical Engineering, Microelectronics or related fields. Candidate should possess a fundamental understanding of device physics   A strong background in semiconductor wafer processing and materials characterization is preferred An ability to perform basic tool troubleshooting and interact with vendor to resolve tool issues Able to work with cross-department and global teams Candidates with experience in fabless semiconductor, wafer fabs are preferred "
94,308d6c951220849db4132fa0380dd5aa,https://www.mycareersfuture.sg/job/data-scientist-nec-corporation-308d6c951220849db4132fa0380dd5aa,Data Scientist,Full Time,NEC CORPORATION,"HYFLUX INNOVATION CENTRE, 80 BENDEMEER ROAD 339949",Senior Executive,"Engineering, Information Technology",6000,8000,Monthly,17 Jan 2019,0,0,0,0,"The Innovation and Transformation Office (ITO) of Global Safety Division (GSD) leads disruptive idea generation, research, testing and prototyping with the goal of launching breakthrough products and services inspired by global trends and emerging technologies, contributing to a Safer City. We aim to take our deep technical and product expertise and develop innovative solutions that helps to transform businesses. This position is a good match for a passionate and technical leader who enjoys technical challenges and possess excellent communication skills. The successful candidate should preferably have a strong start-up mentality and experience, as well as proven track record within a cross-cultural multi-national corporation, delivering large mission critical solutions in the area of data science and machine learning. As a Data Scientist, you'll work closely with our customers to produce innovative and actionable quantitative models and analysis to address the challenges in the areas of Public Safety. The Innovation and Transformation Office (ITO) team is a catalysing force that crystalizes visionary concepts into proof-of-concepts (POCs) and prototypes that will bring real value to organizations. These solutions need to be scalable to support millions of customers worldwide.    Provide leadership in the areas of data analytics and modelling with a strong focus on Public Safety. Develop and deploy AI technologies for public safety. Manage machine learning projects, including writing functional and program specifications and documentation, data (structured and unstructured) acquisition from external and internal sources, data preparation (data cleaning, data mapping, data quantity and quality validation), identifying suitable machine learning algorithms to apply on the data sets, building machine learning model from the data, and tuning model parameters for enhanced performance. Develop processes and tools for evaluating the performance of machine learning algorithms and robustness of the models. Establish specific success criteria for selecting the best machine learning model to address a real-world problem. Perform system testing and user acceptance testing to validate the robustness and performance of the machine learning models. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Design, build, test, validate, and deploy statistical and machine learning models to answer business needs and increase operational efficiency. Develop custom data models and algorithms to apply to data sets. Develop processes and tools to monitor and analyze model performance and data accuracy. Actively engage in the creation of new disruptive and transformational products and services through an understanding of the end user’s requirements and operating environment. Participate in the building and enhancement of a robust pipeline to support the automation of various development associated tasks to achieve continuous integration and delivery. Create Intellectual Property (IP) in the form of patents, publication of papers in the relevant areas that is tightly aligned to the strategic direction of the GSD. ","Education & Experience  Bachelor’s degree in Computer Science or Data Science (preferred). Or, Bachelor’s degree in any of Statistics/Mathematics/Technology plus a certification or rich experience in Machine Learning/Deep Learning/ETL. Minimum of 5 years of quantitative analytics experience with a focus on statistical modeling, Machine Learning, forecasting, optimization and/or predictive analytics. Experience in biometrics and facial recognition technologies is a plus.    Skill Requirements  At least 2 years’ relevant experience. Must have strong programming experience with Python and R. Experience in machine learning, deep learning, data visualization, statistical, text analytics libraries, jupyter notebook and/or frameworks in Python or R. Experience with data processing and data analytics. "
95,f1eba772347267532813c3a0de581003,https://www.mycareersfuture.sg/job/data-scientist-engineer-nec-corporation-f1eba772347267532813c3a0de581003,Data Scientist / Engineer,Full Time,NEC CORPORATION,"HYFLUX INNOVATION CENTRE, 80 BENDEMEER ROAD 339949",Executive,"Engineering, Information Technology",4500,6000,Monthly,17 Jan 2019,0,0,0,0,"The Innovation and Transformation Office (ITO) of Global Safety Division (GSD) leads disruptive idea generation, research, testing and prototyping with the goal of launching breakthrough products and services inspired by global trends and emerging technologies, contributing to a Safer City. We aim to take our deep technical and product expertise and develop innovative solutions that helps to transform businesses. This position is a good match for a passionate and technical leader who enjoys technical challenges and possess excellent communication skills. The successful candidate should preferably have a strong start-up mentality and experience, as well as proven track record within a cross-cultural multi-national corporation, delivering large mission critical solutions in the area of data science and machine learning. As a Data Scientist/Engineer, you'll work closely with our customers to produce innovative and actionable quantitative models and analysis to address the challenges in the areas of Public Safety. The Innovation and Transformation Office (ITO) team is a catalysing force that crystalizes visionary concepts into proof-of-concepts (POCs) and prototypes that will bring real value to organizations. These solutions need to be scalable to support millions of customers worldwide.    Provide leadership in the areas of data analytics and modelling with a strong focus on Public Safety. Develop and deploy AI technologies for public safety. Manage machine learning projects, including writing functional and program specifications and documentation, data (structured and unstructured) acquisition from external and internal sources, data preparation (data cleaning, data mapping, data quantity and quality validation), identifying suitable machine learning algorithms to apply on the data sets, building machine learning model from the data, and tuning model parameters for enhanced performance. Develop processes and tools for evaluating the performance of machine learning algorithms and robustness of the models. Establish specific success criteria for selecting the best machine learning model to address a real-world problem. Perform system testing and user acceptance testing to validate the robustness and performance of the machine learning models. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Design, build, test, validate, and deploy statistical and machine learning models to answer business needs and increase operational efficiency. Develop custom data models and algorithms to apply to data sets. Develop processes and tools to monitor and analyze model performance and data accuracy. Actively engage in the creation of new disruptive and transformational products and services through an understanding of the end user’s requirements and operating environment. Participate in the building and enhancement of a robust pipeline to support the automation of various development associated tasks to achieve continuous integration and delivery. Create Intellectual Property (IP) in the form of patents, publication of papers in the relevant areas that is tightly aligned to the strategic direction of the GSD. ","Education & Experience  Bachelor’s degree in Computer Science or Data Science (preferred). Or, Bachelor’s degree in any of Statistics/Mathematics/Technology plus a certification or rich experience in Machine Learning/Deep Learning/ETL. Minimum of 5 years of quantitative analytics experience with a focus on statistical modeling, Machine Learning, forecasting, optimization and/or predictive analytics. Experience in biometrics and facial recognition technologies is a plus.    Skill Requirements  At least 2 years’ relevant experience. Must have strong programming experience with Python and R. Experience in machine learning, deep learning, data visualization, statistical, text analytics libraries, jupyter notebook and/or frameworks in Python or R. Experience with data processing and data analytics. "
96,cbbbf5fffe0ae23aedc84c16eadb476c,https://www.mycareersfuture.sg/job/data-engineer-nec-corporation-cbbbf5fffe0ae23aedc84c16eadb476c,Data Engineer,Full Time,NEC CORPORATION,"HYFLUX INNOVATION CENTRE, 80 BENDEMEER ROAD 339949",Executive,"Engineering, Information Technology",3000,4500,Monthly,17 Jan 2019,0,0,0,0,"The Innovation and Transformation Office (ITO) of Global Safety Division (GSD) leads disruptive idea generation, research, testing and prototyping with the goal of launching breakthrough products and services inspired by global trends and emerging technologies, contributing to a Safer City. We aim to take our deep technical and product expertise and develop innovative solutions that helps to transform businesses. This position is a good match for a passionate and technical leader who enjoys technical challenges and possess excellent communication skills. The successful candidate should preferably have a strong start-up mentality and experience, as well as proven track record within a cross-cultural multi-national corporation, delivering large mission critical solutions in the area of data science and machine learning. As a Data Engineer, you'll work closely with our customers to produce innovative and actionable quantitative models and analysis to address the challenges in the areas of Public Safety. The Innovation and Transformation Office (ITO) team is a catalysing force that crystalizes visionary concepts into proof-of-concepts (POCs) and prototypes that will bring real value to organizations. These solutions need to be scalable to support millions of customers worldwide.    Provide leadership in the areas of data analytics and modelling with a strong focus on Public Safety. Develop and deploy AI technologies for public safety. Manage machine learning projects, including writing functional and program specifications and documentation, data (structured and unstructured) acquisition from external and internal sources, data preparation (data cleaning, data mapping, data quantity and quality validation), identifying suitable machine learning algorithms to apply on the data sets, building machine learning model from the data, and tuning model parameters for enhanced performance. Develop processes and tools for evaluating the performance of machine learning algorithms and robustness of the models. Establish specific success criteria for selecting the best machine learning model to address a real-world problem. Perform system testing and user acceptance testing to validate the robustness and performance of the machine learning models. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Design, build, test, validate, and deploy statistical and machine learning models to answer business needs and increase operational efficiency. Develop custom data models and algorithms to apply to data sets. Develop processes and tools to monitor and analyze model performance and data accuracy. Actively engage in the creation of new disruptive and transformational products and services through an understanding of the end user’s requirements and operating environment. Participate in the building and enhancement of a robust pipeline to support the automation of various development associated tasks to achieve continuous integration and delivery. Create Intellectual Property (IP) in the form of patents, publication of papers in the relevant areas that is tightly aligned to the strategic direction of the GSD. ","Education & Experience  Bachelor’s degree in Computer Science or Data Science (preferred). Or, Bachelor’s degree in any of Statistics/Mathematics/Technology plus a certification or rich experience in Machine Learning/Deep Learning/ETL. Minimum of 5 years of quantitative analytics experience with a focus on statistical modeling, Machine Learning, forecasting, optimization and/or predictive analytics. Experience in biometrics and facial recognition technologies is a plus.    Skill Requirements  At least 2 years’ relevant experience. Must have strong programming experience with Python and R. Experience in machine learning, deep learning, data visualization, statistical, text analytics libraries, jupyter notebook and/or frameworks in Python or R. Experience with data processing and data analytics. "
97,516ddf54b455c05897a600b4c8a99832,https://www.mycareersfuture.sg/job/senior-analytics-manager-data-scientist-palo-singapore-516ddf54b455c05897a600b4c8a99832,Senior Analytics Manager - Data Scientist,"Permanent, Full Time",PALO IT SINGAPORE PTE. LTD.,51B CIRCULAR ROAD 049406,Professional,Information Technology,6000,12000,Monthly,17 Jan 2019,0,0,0,1,"Your profile & role on the project YOU:  Thrive on challenge. When was the last time you failed? Are curious & always learning. What are you up to right now? Can deal with constant change. When were you last surprised? Have mastered at least one skill of your trade but you’re not defined by it. What can you teach us? Can you wear many hats?  YOU AGAIN: The Data Science Consultant will design, build and execute machine learning techniques on large, complex, structured / unstructured data sets to find out hidden patterns and predictive signals. You will research and develop innovating solutions to deliver impact to our clients, contributing to bring intelligence in their digital mesh with the support of other Palo IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams.  Identify use cases allowing to take advantage of AI & Machine learning capabilities Define data science approaches that fit with clients’ business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets Communicate algorithms results, limits and potential for improvement in a meaningful way Evaluate third party datasets and emerging technologies (e.g. deep learning, NLP) that may contribute to better results Collaborate with clients and other Palo IT practices to build a comprehensive end-to-end approach, allowing to gather the relevant labeled data and features for ML algorithms as well as effectively embed machine learning outcome into data-driven apps Participate in development of select assets/accelerators that create scale Contribute to thought leadership through research and publication support  STILL YOU:   You hold a Bachelor, Master or PhD degree in Computer Science, Statistics or related discipline, and strong academic performance with analytic and quantitative coursework is required   Good knowledge of supervised/unsupervised machine learning techniques and algorithms   Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc.   Experience with machine learning frameworks (e.g scikit-learn, Spark MLlib, Caffe, TensorFlow) and/or data science platforms (e.g. SAS, Dataiku)   Data-oriented background in SQL, data wrangling and data modelling   Exposure to data viz tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot)    Willingness to apply advanced data science techniques such as deep learning, reinforcement learning, NLP…   Willingness to be part of a multi-disciplinary team to solve real business problems from end-to-end     Your role at PALO IT You will be invited to take part in R&D works done within our Practices. You will have the chance to assist or be a speaker at must-attend international IT conferences. You will have the opportunity to write articles for our Blog or specialized press. Genuine ambassador of PALO IT, you will present our offers and take an active role in the development of the company.  Your technical environment # Background in math & statistics # Statistical programming languages: R, Python (scikit-learn library), SAS, SPSS # Data science platforms: SAS, Dataiku... # Data viz tools: Tableau, Qlik","  You hold a Bachelor, Master or PhD degree in Computer Science, Statistics or related discipline, and strong academic performance with analytic and quantitative coursework is required   Good knowledge of supervised/unsupervised machine learning techniques and algorithms   Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc.   Experience with machine learning frameworks (e.g scikit-learn, Spark MLlib, Caffe, TensorFlow) and/or data science platforms (e.g. SAS, Dataiku)   Data-oriented background in SQL, data wrangling and data modelling   Exposure to data viz tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot)    Willingness to apply advanced data science techniques such as deep learning, reinforcement learning, NLP…   Willingness to be part of a multi-disciplinary team to solve real business problems from end-to-end  "
98,2a1269ac23a2fa6f8d993d86db70e47e,https://www.mycareersfuture.sg/job/senior-data-research-engineer-titansoft-2a1269ac23a2fa6f8d993d86db70e47e,Senior Data Research Engineer,Permanent,TITANSOFT PTE. LTD.,90 EU TONG SEN STREET 059811,Executive,Others,4000,8000,Monthly,17 Jan 2019,0,0,0,1,"Our research team at Titansoft focuses on Human Behaviour Imitation, Artificial Intelligence, and Probability Theory including, but not limited to, feedback control, algorithms, automatic processing, and machine learning models with the overall goal of building an automation system. We are looking for a Senior Data Research Engineer who shares a deep passion for machine learning programming and embrace the idea of teamwork. If you feel strongly about AI areas, then we definitely want to speak with you.  ","Qualifications Minimum Degree in Computer Science, Math, Physics, Engineering, Statistics or other technical fields. Experiences  Prior experience or course work in analytics and data mining, with focus on segmentation strategies and predictive models. Extensive programming experience with either Python, R, C# or other programming languages. Knowledge and experience in at least one of three of the following: Keras, Tensorflow and Pytorch. Demonstrated history of building prototypes for an AI project. Experience with AI / Machine Learning product or Kaggle Experience with multi-threaded design and parallel / distributed computing Working knowledge of C# and SQL  Skills  Systematic problem-solving approach, coupled with strong communication skills. Have strong algorithms/data structure knowledge Ability to understand complex systems Strong business sense and logical skills to balance data-driven decisions with intuition desire and capacity to learn, develop and lead the team. "
99,3d6111d96157c9a00507bd1fc9cf4796,https://www.mycareersfuture.sg/job/data-research-engineer-titansoft-3d6111d96157c9a00507bd1fc9cf4796,Data Research Engineer,Permanent,TITANSOFT PTE. LTD.,90 EU TONG SEN STREET 059811,Executive,Others,4000,8000,Monthly,17 Jan 2019,0,0,0,1,"Our research team at Titansoft focuses on Human Behaviour Imitation, Artificial Intelligence, and Probability Theory including, but not limited to, feedback control, algorithms, automatic processing, and machine learning models with the overall goal of building an automation system. We are looking for a Data Research Engineer who shares a deep passion for machine learning programming and embrace the idea of teamwork. If you feel strongly about AI areas, then we definitely want to speak with you.  "," Minimum Degree in Computer Science, Math, Physics, Engineering, Statistics or other technical fields. Knowledge and experience in at least one of these: Keras, Tensorflow or Pytorch. Strong knowledge and experience in Python. Strong knowledge of algorithm design.  To succeed in this role, it will be good to have:  Experience with an Artificial Intelligence or Machine Learning product or Kaggle. Knowledge in SQL or other programming languages. Contributions to open source projects. Familiarity with multi-threaded design and parallel or distributed computing. Working knowledge on C#. "
100,87342fc882779832f136479d2ccae2fe,https://www.mycareersfuture.sg/job/ai-optimization-engineer-black-sesame-technologies-87342fc882779832f136479d2ccae2fe,AI Optimization Engineer,Full Time,BLACK SESAME TECHNOLOGIES (SINGAPORE) PTE. LTD.,"SOLARIS, 1 FUSIONOPOLIS WALK 138628",Professional,Engineering,5000,8000,Monthly,17 Jan 2019,0,0,0,0,"Title: AI Optimization Engineer Qualifications: •   MS/PHD in computer science, electrical engineering, or equivalent. •   2+ year experience on machine learning development and implementation •   Proven experience on applying deep learning models for real applications •   Practical experiences of DNN model optimization, such as conversion to CoreML, pruning and quantization. •   Proficient in Python/Android/OS programming   Responsibilities:   •   Optimization, conversion and deployment of existing DNN models on various mobile platform •   Testing and continual improvement of DNN performance on target platforms •   Implementation of the DNN solutions for real applications with various hardware constraints","AI Optimization Engineer Qualifications: •   MS/PHD in computer science, electrical engineering, or equivalent. •   2+ year experience on machine learning development and implementation •   Proven experience on applying deep learning models for real applications •   Practical experiences of DNN model optimization, such as conversion to CoreML, pruning and quantization. •   Proficient in Python/Android/OS programming   Responsibilities:   •   Optimization, conversion and deployment of existing DNN models on various mobile platform •   Testing and continual improvement of DNN performance on target platforms •   Implementation of the DNN solutions for real applications with various hardware constraints"
101,25d0e00e2a79fc8e1d0f87b605dd5203,https://www.mycareersfuture.sg/job/pc-processes-developer-123444-credit-suisse-services-ag-25d0e00e2a79fc8e1d0f87b605dd5203,PC Processes Developer #123444,"Permanent, Full Time",CREDIT SUISSE SERVICES AG,"ONE RAFFLES LINK, 1 RAFFLES LINK 039393",Executive,Banking and Finance,6000,11000,Monthly,17 Jan 2019,0,0,0,1,"PC Processes Developer #123444 Credit Suisse Company Overview Credit Suisse is a leading global wealth manager with strong investment banking and asset management capabilities. Founded in 1856, Credit Suisse has expanded to be a global force employing over 45,000 people in 50 countries. With new leadership, a new strategy and a streamlined global organization, we are set for growth. We partner across businesses, divisions and regions to create innovative solutions to meet the needs of our clients—and to help our employees grow. It is a high priority for us to continually invest in our employees by providing ongoing opportunities for training, networking and mobility. Join us and let's shape the future of Credit Suisse together.   Further information can be found at www.credit-suisse.com  We Offer… The role is within the Product Control (PC) IT Team which is part of the Risk & Finance (RF) IT Department. R&F IT is currently undergoing a radical transformation, investing in innovative technologies to deliver groundbreaking solutions to the business whilst evolving to DevOps. You will have the opportunity to develop a keen understanding of key applications within the PCIT and across the bank. Learn about the architecture, strategies and processes and work in collaboration with the wider team based around the world. You will be liaising with production services, the core development teams and the business users to understand issues impacting these applications. You will deep dive into these applications to identify, design and implement solutions to solve these issues. Key responsibilities will include:   Become a subject matter expert for the in PC Processes & Fair Value applications.   Analyze and investigate issues.   Design and implement solutions to resolve production issues.   Provide status reporting to IT management.   Find opportunities to improve production stability.   You will be encouraged to learn new technologies being used to develop the next generation applications in the department, Big data and Machine Learning technologies.","You Offer…  You have a University Degree level (preferably in IT). You have 8+ years of experience in analysis, design and development of applications in financial services industry. Your prior experience in an investment bank (Finance domain) is helpful.  Technical  You have proficiency in Oracle or SQL Server (6+ years), including design, writing complex SQL, trouble shooting and query optimization. Some experience with Oracle mandatory. Your knowledge of Control-M/ Batch processing is desirable. You have exposure to DevOps tool chain such as: JIRA, Confluence, GIT, Jenkins, Strela,Crucible, SonarQube, Liquibase and etc. Exposure to the full software development lifecycle from requirements to testing and release. Your exposure to Microsoft technologies will be a plus.  Others:  Strong inclination to business, functional understanding. Strong analytical and problem solving skills. Excellent written and verbal communication skills. Ability to work independently and collaboratively in a distributed team. Occasional work outside of normal business hours would be required to work and get along with BAs and other team members in other CS offices and to support production releases. Confident and inventive. Ability to learn.  Additional Experience/Good to Have:  Agile Certified and working experience in Agile Projects. Working experience in onshore/offshore or outsourced models.  EEO statement                                                         Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success.  "
102,d3c1e071bc63174c875e534bf3a92553,https://www.mycareersfuture.sg/job/data-scientist-asiacloud-solutions-d3c1e071bc63174c875e534bf3a92553,Data Scientist,"Permanent, Contract, Full Time",ASIACLOUD SOLUTIONS PRIVATE LIMITED,,"Professional, Executive, Junior Executive, Senior Executive",Information Technology,6000,7500,Monthly,17 Jan 2019,1,0,0,1, Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Propose solutions and strategies to business challenges Present information using data visualization techniques Collaborate with engineering and product development teams ," Proven experience as a Data Scientist or Data Analyst Experience in data mining Understanding of machine-learning and operations research Experience using business intelligence tools and data frameworks Analytical mind with strong business acumen and problem-solving skills BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred "
103,23bddb85380b51f3e26f137930c47ef7,https://www.mycareersfuture.sg/job/engineer-housing-development-board-23bddb85380b51f3e26f137930c47ef7,Engineer (Analytics),Contract,Housing and Development Board,"HDB HUB, 480 LORONG 6 TOA PAYOH 310480",Unknown,Public / Civil Service,2400,8555,,17 Jan 2019,1,0,0,0,"  Responsibilities  You will be involved in a multi-disciplinary area of analytical research to gain actionable insights to shape and provide value to a HDB town’s development. Your responsibilities include data acquisition and data fusion, creation of 3D and mathematical models, and designing of algorithms to create a digital twin of the urban environment. To derive insights and provide recommendations, you will look into using new and emerging forms of data and developing new computational approaches and data analytics techniques in the aspects of geospatial, visual, statistical, and predictive analysis. You will also be exposed to various modelling techniques such as environmental modelling and urban systems modelling to complement and facilitate urban analytics efforts.  Requirements You should possess a degree in Engineering (Electrical or Mechanical or Civil) recognised by the Professional Engineers’ Board, and have at least 2 years of experience in field of IT, GIS systems and analytics. Candidates with relevant skills in analytics such as 3D modelling, probability and regression analysis, spatial configuration analysis and machine learning will be preferred.      Only shortlisted candidates will be notified.  ",None
104,55a4389d9650934c9aa5c542134ccd92,https://www.mycareersfuture.sg/job/data-analyst-55a4389d9650934c9aa5c542134ccd92,DATA  ANALYST,Full Time,Company Undisclosed,,Senior Executive,Information Technology,6000,7500,Monthly,17 Jan 2019,0,0,0,0, Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Propose solutions and strategies to business challenges Present information using data visualization techniques Collaborate with engineering and product development teams ," Proven experience as a Data Scientist or Data Analyst Experience in data mining Understanding of machine-learning and operations research Experience using business intelligence tools and data frameworks Analytical mind with strong business acumen and problem-solving skills Excellent communication and presentation skills BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred   "
105,b4088d4c1f0a9d10712c37517c70e75e,https://www.mycareersfuture.sg/job/data-scientist-aida-technologies-b4088d4c1f0a9d10712c37517c70e75e,Data Scientist (Machine Learning Specialist),Full Time,AIDA TECHNOLOGIES PTE. LTD.,"ONE GEORGE STREET, 1 GEORGE STREET 049145",Professional,"Banking and Finance, Engineering, Information Technology, Insurance",,,Annually,16 Jan 2019,0,0,0,0,"Job Summary We are looking for several Data Scientists (Machine Learning Specialists) who will work with our clients to discover the information hidden in vast amounts of data, and help them make smarter decisions to deliver better products or services. You will work with AIDA’s highly motivated team to apply data mining techniques, do statistical analysis, build high quality machine learning model and deploy the models to the cloud or our client’s server and integrate the models with the existing client’s products or system.   Responsibilities and Duties   Understanding business problems and dividing the problems into different tasks that can be solved by Machine Learning   Processing, cleansing, and verifying the integrity of data used for analysis; Performing feature selection to select the most suitable features; Building high accurate machine learning models   Validating the machine learning results, visualizing, and presenting the results to related team and departments   Deploying the machine learning models into cloud or server and integrate the models into different systems  ","  PhD or Master's degree preferred in Computer Science or Mathematics with at least 2 year working experience with strong background in Statistics, Data Sciences, and Programming skills.   Expert in machine learning techniques and algorithms, such as LightGBM, XGBoost, ensemble and stacking methods, etc.   Proficiency in Python programming language and machine learning toolkit such as Scikit-learn.   Basic knowledge on DevOps and development tools such as docker, Git, Cloud platform such as AWS or Microsoft Azure   Experience in Data Management and SQL-based technologies   Excellent communication skills    "
106,1af5f319534f59046d96ab2d06bf9797,https://www.mycareersfuture.sg/job/senior-data-scientist-dathena-science-1af5f319534f59046d96ab2d06bf9797,Senior Data Scientist,Full Time,DATHENA SCIENCE PTE. LTD.,"ONE GEORGE STREET, 1 GEORGE STREET 049145",Executive,"Information Technology, Sciences / Laboratory / R&D",4000,8000,Monthly,16 Jan 2019,0,0,0,0,"Reports to - Chief Science Officer (PhD) and Solution Architect   About Dathena Science   Dathena is a Swiss and Singaporean company developing data governance software based on machine learning algorithms. Dathena is the most complete and accurate data governance platform and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations. Using cutting edge machine learning technology, Dathena sift through all unstructured data allowing to regain full control on company’s information. Job Purpose:  We are looking for a Data Scientist with more than 5 years experience, that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Ph.D in related fields will be Your primary focus will be in ​ applying data mining, machine learning, deep learning, computer vision and natural language processing techniques, doing statistical analysis​ , and ​ building high quality predictionsystems integrated with our products by ​ improving and extending the features used by our existingmodels, by ​ developing internal testing procedures​ , and ​ enhancing our system for automated frauddetection​ While it is essential that the Data Scientist brings efficient and effective behavior to increase theproductivity of the organization, is it also critical that the intern retain the creative spark that drivesDathena’s vision and values.   ","Responsibilities:   Data mining and text/images preprocessing using state-of-the-art methods Building and optimizing classification models by using machine learning/deep learning techniques Images preprocessing, denoising and scaling problems solving Transfer learning techniques applying for sentiment analysis and entities recognition problem solution Models interpretation by using text summarization and visualization approaches Supervising and supporting a team of scientists  Skills and Qualifications:  Masters or PhD in Computer Science, Engineering, Statistics or a similar field. PhD preferred 5+ years of working experience in  Data Science area Strong programing skills in Scala/Python/Apache Spark Deep knowledge in NLP methods: Word2Vec/FastText, NER, Sentiment analysis Excellent understanding of machine learning and deep learning techniques and algorithms, such as K-means, Decision Tree/Random Forest, CNN/RNN, GAN etc. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good knowledge in using query languages such as MySQL, Hive, Phoenix etc. People and project management skills  Soft Skills:  Fluent in English Data-oriented personality Exceptional Oral and Written Communication skills Time management Interpersonal skills Critical Thinking Presentation skills    Working conditions The Data Scientist  must fully embrace the team spirit of a young and innovative Start-up. They must be able to adapt to a multi-cultural environment. Travel and remote location might be required.   Location: Singapore"
107,3221d10d99d0b258bc2f476978aa8e9f,https://www.mycareersfuture.sg/job/research-associate-national-university-singapore-3221d10d99d0b258bc2f476978aa8e9f,Research Associate,Contract,NATIONAL UNIVERSITY OF SINGAPORE,21 LOWER KENT RIDGE ROAD 119077,Non-executive,Sciences / Laboratory / R&D,40800,84600,Monthly,16 Jan 2019,1,0,0,0,"A Research Associate position is immediately available at the Institute of Data Science, National University of Singapore, in the areas of Data Mining and Machine Learning. The position involves developing and maintaining state-of-the-art data science and machine learning platforms and applications for the institute, and working with data science researchers to conduct research and development on state-of-the-art data science projects in collaboration with industry partners. The job scope includes data preparation and cleaning, designing and implementing of scalable and effective algorithms and methods in data mining, machine learning and artificail intelligence, performing empirical study on real-world data, developing applications and visualization demos etc.   The successful candidate will be a hands-on data engineer with solid coding and application development skills and experience, with a passion and pride to write robust, readable, and reusable code components and applications. He/She should be familiar with at least one ML library/framework, and have up-to-date knowledge in the latest cloud computing and other big data technologies. He/She should also have excellent interpersonal communication skills for working closely with internal and external collaborators to implement data science applications.  Prior R&D exposure would be a plus.","- Master's degree in computer science or related disciplines - More than 2 Years of experience, industry experience would be a plus - Programing language: Python, R, JAVA or C++ - Knowledge and experience in database management and machine learning algorithms - Knowledge and experience in GPU-based computation would be a plus - Experience with various data analysis and visualization tools and big data computing platforms - Experience in developing and deploying machine learning algorithms including deep learning - Experience in Ux design - An independent and self-driven worker and a fast learner - Well-organized and has an eye for details - Excellent written and verbal communication skills"
108,2a7e215d436f824328533e9908206f63,https://www.mycareersfuture.sg/job/data-scientist-alphatech-business-solutions-2a7e215d436f824328533e9908206f63,Data Scientist,"Permanent, Full Time",ALPHATECH BUSINESS SOLUTIONS PTE. LTD.,,Professional,Information Technology,5500,8000,Monthly,16 Jan 2019,0,0,0,1,"·       Use machine learning and analytical techniques to build prediction models for different use cases. ·       Design, develop and test advanced models for predictive behavior. ·       Co-operate with software engineering teams to drive real-time model implementations and new feature creations. ·       Design efficient, scalable, automated processes for large scale data analyses, model development, model validation and model implementation ·       Research and evaluate pioneering machine learning and statistical model Requirement","·       Atleast 3+ years of Deep Learning and machine learning experience. ·       Good understanding about supervised and unsupervised learning algorithms. ·       Generate and test working Hypothesis. ·       Mandatory coding experience in Python ·       Experience working with modern Deep Learning techniques, framework and applications. ·       Experience in DL framework (e.g Caffe, Tourch, Tensorflow). ·       Exposure to GPU technology and CUDA programming ·       2 year or above experience in Algorithms, statistical analysis, computational NLP and/or machine learning. ·       Strong teamwork and interpersonal skills. ·       Action oriented with strong analytical and problem solving skill."
109,23734d8aa70a1edcd5e84c1b92cc4ee0,https://www.mycareersfuture.sg/job/support-engineer-dathena-science-23734d8aa70a1edcd5e84c1b92cc4ee0,Support Engineer,Full Time,DATHENA SCIENCE PTE. LTD.,"ONE GEORGE STREET, 1 GEORGE STREET 049145",Fresh/entry level,Information Technology,4000,6000,Monthly,16 Jan 2019,0,0,0,0,"Job Title:  Support Engineer Reports to:  Big Data & Infrastructure Manager   About Dathena Science Dathena is a Swiss and Singaporean company developing data governance software based on machine learning algorithms. Dathena is the most complete and accurate data governance platform and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations. Using cutting edge machine learning technology, Dathena sift through all unstructured data allowing to regain full control on company’s information. Job Purpose:  The Support engineer will support Dathena's infrastructure and daily health by managing machines maintenance. We will require to maintain a good global health of systems, keeping machines up to date and handling user accounts. Build servers and monitor hardware supplies Remote and on-site support of Dathena's systems ","Responsibilities:   Maintenance of the company network Maintain and improve the availability time of servers with pro-active care and support Take care of internal and external hardware demands  Skills and Qualifications:  System administration (with hardware diagnostics) Basic server hardware knowledge Knows how to manage Linux (CentOS, Debian, Ubuntu, …) Version control (Git, SVN, …) Network management (IP addresses, routes, …) Infrastructure monitoring (Nagios, Icinga, Shinken, …) Low level scripting (Shell) High level scripting (Python, Perl, Ruby, …) Interest in security  Soft Skills:  Fluent in English Good Oral and Written Communication Skills Time management Interpersonal Skills Critical Thinking Proactive and interested in network and security news, the candidate should be able to implement good security practices  Working Conditions: Working conditions The Support Engineer must fully embrace the team spirit of a young and innovative start-up. They must be able to adapt to a multi-cultural environment. Travel and remote location might be required.   Location: Singapore R&D Office Direct reports  None – Subject to change following the company growth and development.          "
110,ec0f3c67046c1287b2092c66b76c60d1,https://www.mycareersfuture.sg/job/big-data-infrastructure-manager-dathena-science-ec0f3c67046c1287b2092c66b76c60d1,Big Data and Infrastructure Manager,Full Time,DATHENA SCIENCE PTE. LTD.,"ONE GEORGE STREET, 1 GEORGE STREET 049145",Non-executive,"Information Technology, Telecommunications",3000,7000,Monthly,16 Jan 2019,0,0,0,0,"Job title: Big Data Infrastructure Manager      Reports to: CTO   About Dathena Science   Dathena is a Swiss and Singaporean company developing data governance software based on machine learning algorithms. Dathena is the most complete and accurate data governance platform and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations. Using cutting edge machine learning technology, Dathena sift through all unstructured data allowing to regain full control on company’s information.","Responsibilities:   Working in highly client-facing roles to contribute throughout the end-to-end delivery lifecycle of complex and large-scale Big Data solutions Full lifecycle implementation from requirements analysis, platform selection, technical architecture design,development, testing, and deployment. Assess emerging trends in storage access which includes the application of existing high performance distributed file system storage technologies for use by applications in lieu to traditional relational database storage methods Day-to-day operation, administration, and maintenance of the assigned systems (OS, Hadoop, Spark, MapReduce, NoSQL) Maintain high-performance and data integrity of critical database (NoSQL & SQL type) Perform system tuning, system health check, alarm/ verification check to ensure optimal performance and continuous uptime Implement and manage high availability architecture in a virtualization infrastructure including but not limited to network, storage and computing Provide project technical support and expertise Support new projects/integrations working with R&D team.  Skills and Qualifications:  Good working knowledge in virtualization technologies like Open Nebula Hands-on experience with other technologies in the Hadoop eco-system (e.g. Sqoop, Pig, Hive, Hbase, Flume) Experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP) Previous ETL development experience with tools such as Datastage, Talend, Pentaho etc Business Intelligence and reporting software experience (e.g. Microstrategy, Cognos, Qlik, Tableau Pentaho) Previous experience with data federation and data preparation tools Hands-on experience with analytical tools, languages, or libraries (e.g. SAS, SPSS, R, Mahout) Experience in deploying Hadoop applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning) Knowledge of cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems.  Soft Skills:  Bachelor's degree Minimum 3 years management experience in Big Data & Infrastructure Development / DevOps / SRE Proven ability to build, manage and foster a team-oriented environment Demonstrated ability to work with distributed (onshore-offshore) teams Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Excellent leadership and management skills  Working Conditions:  The Big Data Infrastructure Manager must fully embrace the team spirit of a young and innovative Start-up. They must be able to adapt to a multi-cultural environment. Travel and remote location might be required.     Location: Singapore      "
111,eacbdda050a6c4cd101d1755b4db1ea2,https://www.mycareersfuture.sg/job/data-scientist-mann-hummel-filter-technology-eacbdda050a6c4cd101d1755b4db1ea2,Data Scientist,Full Time,MANN + HUMMEL FILTER TECHNOLOGY (S.E.A.) PTE LTD,"THE STRATEGY, 2 INTERNATIONAL BUSINESS PARK 609930",Manager,Sciences / Laboratory / R&D,8100,8700,Monthly,16 Jan 2019,0,0,0,0,"Main Accountabilities  Advocate, evangelize and build data-fuelled products and services that help our customers improve filtration. Advocate, evangelize and build data-fuelled services that help our internal customers improve their operations. Dig in and become an expert on our filtration technology datasets. Provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables. Work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas. You will lead applied analytics initiatives that are leveraged across the breadth of our solutions for Automotive, Industrial, Air, and Water filtration. Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes. Provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of our organization Implement PoC and PoV to test and validate the proposed analytics or algorithm Benchmark and recommend best solutions to implement our big-data and machine learning algorithm on our cloud infrastructure ","Job Requirements (Qualifications, Skills, Experience, Competencies)  Holds a Ph.D. or Master’s Degree in operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline. Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms. More than 5 years of experience delivering world-class data science outcomes Able to solve complex analytical problems using quantitative approaches with your unique blend of analytical, mathematical and technical skills. Passionate about asking and answering questions in large datasets, and you are able to communicate that passion to product managers and engineers. Keen desire to solve business problems, and live to find patterns and insights within structured and unstructured data. You propose analytics strategies and solutions that challenge and expand the thinking of everyone around you. Expert in analysing large, complex, multi-dimensional datasets with a variety of tools. You are accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS. Experience with BI tools such as Tableau and Micro-strategy. You’re as comfortable with relational databases as you are with Hadoop-based data mining frameworks. You are familiar with SQL, Python, R, Go, Java and C/C++. Comfortable with fast paced, test-driven, collaborative and iterative engineering environment. You love learning, data, scale and agility. You excel at making complex concepts simple and easy to understand by those around you. You’re driven to show the world the power of applied analytics. Knowledge or previous experience with Amazon Web Services or other major public cloud provider is a plus Knowledge or previous experience with Docker technology is a plus Good command of English - both written / spoken Able to multitask and execute with a positive ""can do"" attitude Able to learn fast through self-directed interdisciplinary research "
112,ec91f5203e8cc9c2d5bc6f0fad41680e,https://www.mycareersfuture.sg/job/technical-writer-bettertradeoff-ec91f5203e8cc9c2d5bc6f0fad41680e,Technical Writer,"Permanent, Full Time",BETTERTRADEOFF PTE. LTD.,"ONE PEMIMPIN, 1 PEMIMPIN DRIVE 576151","Fresh/entry level, Non-executive",Advertising / Media ,2500,3000,Monthly,16 Jan 2019,0,0,0,1,"The company   Imagine a space where you can trust again that dreams can be realised. Here at BTO we’re making it happen. Our first mission is to deliver the world’s most relevant and intuitive online life-planning tool, empowering people to make optimal decisions about financing their dreams.  We are using the latest technology to develop “kick-SaaS” solutions to empower people with in-context information to plan and realise their life-goals; merging Big-Data analytics, Machine Learning and advanced visualisations into an intuitive and user-centric experience.   Job brief   As a Writer / Researcher for BTO you will become an expert in personal finances and the companies that provide financial services. Your content will be engaging, insightful and become a must-read for financial advisers.  With a research budget and a remit to make news, we don’t just want rewrites of other people’s copy, we want original work that is compelling, intelligent and valuable.  We will want to build you up into a community leadership role where you will be as comfortable writing as you are interviewing for a podcast or chairing a debate on a live stage.  We’re looking for someone who may not have huge experience but who makes up for it with talent and ambition. If you want to prove yourself as a journalist, we want to give you the space to do that.   Responsibilities   We are looking for meticulous and creative candidates who understand news and who are willing to become experts in the field of personal finance.  · Fulfilling all research needs for BTO, including market, competition and customer research.  · Researching financial rules and regulations that we should model within our core business or that are otherwise significant in our sector.  · Generating regular news copy and other content on the subject of personal finance for use on our websites and elsewhere, with the intention that our content is significantly shareable.  · Presenting insights to internal and external audiences.  · Community management in the financial adviser sector.  · Copywriting by the business as required.  · Basic search engine optimisation, learning on the job if necessary.  · Potential media appearances.","· Understands and can demonstrate the principles of ethical journalism and the relevant laws of Singapore.  · Understands news.  · Writes with style and personality.  · Has excellent command of English.  · Pays attention to detail and double checks work. Meticulous and thorough.  · Professional attitude.  · Willingness to learn basic SEO techniques.  · Good person to work with, gets along with others, and is able to work effectively in a team.  · Good with numbers and standard office softwares.  · Other languages (particularly Mandarin and Cantonese) could be useful but are not essential."
113,41fcecdb4f53ae9534e10337556043b9,https://www.mycareersfuture.sg/job/ibn-postdoctoral-fellow-astar-research-entities-41fcecdb4f53ae9534e10337556043b9,IBN - Postdoctoral Fellow (TOM),"Contract, Full Time",A*STAR RESEARCH ENTITIES,,Non-executive,Sciences / Laboratory / R&D,4500,9000,Monthly,16 Jan 2019,1,0,0,0,"A micropatterned human pluripotent stem cell test (µP-hPST) assay to detect teratogenic potential of compounds in vitro has been developed by our team*. The assay is able to predict teratogenicity of pharmaceutical compounds with high specificity, sensitivity and accuracy. The aim of this project is to use this assay to predict teratogenic potential of environmental, industrial and agro chemicals. This project is a lucrative collaboration with industry and will greatly enhance scientific knowledge and commercial application in the field of developmental toxicity prediction. One goal is to accelerate regulatory approval and industry acceptance for spin off the technology.  Key roles include:  Perform toxicity studies using µP-hPST assay to detect teratogenicity of environmental, industry and agro chemicals Use machine-learning data analytics to determine predictivity of the assay Develop an automated system for scale up of the assay Be responsible for progress of the project and updates to the team and collaborators "," Ph.D. degree in Biomedical Engineering, Cell Biology, Toxicology or similar fields from reputable universities or institutes Basic knowledge and experience with stem cell culture and confocal microscopy will be beneficial Experience and interest in toxicology, 3D printing or micro-pattern/fabrication, preferred Experience with at least one programming software, such as R, Python or Matlab, preferred Interdisciplinary work experience Good project management skills Good communication and interpersonal skills    The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice.   We regret that only shortlisted candidates will be notified.  "
114,7ee6ed8f32c717448a1638cbb0309ecb,https://www.mycareersfuture.sg/job/senior-business-intelligence-analyst-alphatech-business-solutions-7ee6ed8f32c717448a1638cbb0309ecb,Senior Business Intelligence Analyst,Contract,ALPHATECH BUSINESS SOLUTIONS PTE. LTD.,,Senior Executive,Information Technology,6000,8000,Monthly,16 Jan 2019,1,0,0,0,"In this role, the Senior Business Intelligence Analyst serves as the primary bridge through the business to communicate high value information to support data-driven decision-making. He/she will continuously evolve management reporting, conduct complex data analysis and deliver business insights in an environment of rapid growth and increasing complexity. The successful candidate must be able to roll-up his/her sleeves, and work directly with large datasets and BI tools to solve challenging problems. He/she will be passionate about their work, detail-oriented, highly analytical and have excellent problem-solving skills.  Job Responsibilities:     Participate in the full lifecycle of an analytics or BI project: from gathering and understanding the end-user needs to implement a fully automated solution. Develop and provision of BI reporting through the deployment of self-service reports and dashboards Engages with business users as well as maintain a client relationship with data warehouse. Deploy Machine learning techniques to answer the appropriate business questions using R or Python. Visualize data using Tableau and create repeatable visual analysis for end users to use as tools. Take ownership of the existing BI platforms and maintain the data integrity and accuracy of the numbers and data sources. Know Agile - Scrum project management experience/knowledge - Ability to prioritise, pushback and effectively manage a product and sprint backlog. "," Minimum Bachelor’s degree in a quantitative field is required (engineering or economics) 3+ years of experience in business intelligence or any data analysis related role. Experience with Tableau, PowerBI or any standard data visualization tools. Proficiency with at least one scripting language (Python or R) is required. Should be comfortable in writing SQL queries to extract data for data analysis. Exhibits sound business judgment, a proven ability to influence others, strong analytical skills, and a proven track record of taking ownership, leading data-driven analyses, and influencing results Exposure to Advanced Analytics techniques for forecasting, regression and other basic machine learning techniques Ecommerce / logistics / fashion retail background a bonus. Experience in Marketing Analytics and Attribution Modelling is a bonus. "
115,c6b5b25857e1792b23f1ecfcf24b1acb,https://www.mycareersfuture.sg/job/web-graphic-designer-bettertradeoff-c6b5b25857e1792b23f1ecfcf24b1acb,Web & Graphic Designer,"Part Time, Full Time",BETTERTRADEOFF PTE. LTD.,"ONE PEMIMPIN, 1 PEMIMPIN DRIVE 576151","Fresh/entry level, Non-executive",Design,2500,3000,Monthly,16 Jan 2019,0,0,0,0,"The company   Imagine a space where you can trust again that dreams can be realised. Here at BTO we’re making it happen. Our first mission is to deliver the world’s most relevant and intuitive online life-planning tool, empowering people to make optimal decisions about financing their dreams. We are using the latest technology to develop “kick-SaaS” solutions to empower people with in-context information to plan and realise their life-goals; merging Big-Data analytics, Machine Learning and advanced visualisations into an intuitive and user-centric experience.   Job brief   We’re looking for an entry level web and graphics designer to support our Communications & Marketing team. While you might not have a lot of experience, we’re looking for someone ambitious, with the talent and enthusiasm to grow with the team. We want a certain professionalism but whether you’re complying with the rules or breaking them (depending on the project), we want work that is of consistent high quality and we want to be nominating you for awards for it.   Responsibilities   We are looking for meticulous and creative candidates who can deliver high quality, work at speed.  • Designing, updating and managing websites as required.  • Graphic design for all media, including web and print marketing materials.  • Production of social media shareables.  • Branding support.  • Occasional support for product designers.","• Delights in Adobe Photoshop and Illustrator.  • Comfortable with Wordpress, HTML and CSS. Willing to play with other content management systems (eg. Nationbuilder).  • Hard working and professional.  • Produces high quality work.  • Good communication skills in English.  • Pays attention to detail and double checks work. Meticulous and thorough.  • Professional attitude.  • Good person to work with, gets along with others, and is able to work effectively in a team.  • Good with standard office softwares."
116,55cd089caecb2a2d05b785db44982c51,https://www.mycareersfuture.sg/job/senior-associate-associate-operations-intelligence-data-specialist-cbg-ops-to-dbs-bank-55cd089caecb2a2d05b785db44982c51,"Senior Associate  /  Associate, Operations Intelligence Data Specialist, CBG Ops, T&O (180004EF)","Permanent, Full Time",DBS BANK LTD.,,Junior Executive,Banking and Finance,4000,8000,Monthly,16 Jan 2019,0,0,0,1," Responsible to perform end to end Machine Learning project from Stake Holder Buyin, Data Modelling and Model Deployment and Performance Work with internal, external stakeholders and technology partners for data and analysis requirements. Manage ad-hoc analysis to solve / respond to operations issue, urgent investigations and  business questions, using statistical and predictive modelling techniques Provide insights through data visualization and presentations to deliver productivity, identify root cause of a situation and to provide actionable insights. "," Compulsory to be strong in programming and modelling skills in Python and/or R, SPARK and be proficient in Machine Learning/Statistical Modelling techniques. Strong in Problem Solving Skills and With high Emotional Intelligence Minimum 3 years’ experience in banking or consulting industry with knowledge in conceptualization of requirements to implementation & data analysis process. Well versed with banking data warehouse structures, data models and source systems Experience in model performance monitoring, model development, validation and testing.  Familiar with the use of Qlikview/ Tableu for both development and reporting. Proficient in SQL and query optimization on  Teradata and Hadoop platform.  Familiar with data modelling concepts such as star schema. Strong written and oral communication skills "
117,e9ea9493274dd95bbe64877c715113cf,https://www.mycareersfuture.sg/job/data-engineer-alpha-z-analytics-singapore-e9ea9493274dd95bbe64877c715113cf,Data Engineer,Contract,ALPHA Z ANALYTICS SINGAPORE PTE. LTD.,,Professional,Professional Services,6000,10000,Monthly,16 Jan 2019,1,0,0,0,"Responsibilities This role’s primary job responsibility is defining the framework and process for preparing data for analytical uses.   The Data Engineer will support data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.  This person should have extensive experience in: ·       building data pipelines to pull together information from different source systems;  optimizing the flow, collection, integration, consolidation and cleansing of data;  ·       structuring data for use in individual analytics application;  ·       data preparation and building data structures in relational and NoSQL environment/databases; ·       deploying / configuring analytic tools, optimizing computing environment for analytic projects; and ·       deploying analytic projects to production:  deploying data science product via either API or batch job, automating the refresh of machine learning models, deploying real time models.   The right candidate will be excited by the prospect of designing data engineering solutions from ground up. ·       Create and maintain optimal data pipeline architecture; ·       Assemble large, complex data sets that meet functional / non-functional business requirements; ·       Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, designing infrastructure for greater scalability, etc. ·       Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using ‘big data’ technologies; ·       Work with stakeholders (data analysts, data scientists, technology support team) to assist with data-related technical issues and support data infrastructure needs; ·       Build processes supporting data transformation, data structures, dependency and workload management","·        Degree in computer science with at least 3 years data engineering work experience in big data analytics environment. ·        Excellent data engineering skills with open source big data stack ·        Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. ·        Strong analytic skills related to working with unstructured datasets.  ·        Experience with big data tools: Hadoop, Spark, Kafka, etc. ·        Experience with relational SQL and NoSQL databases ·        Experience with object-oriented/object function scripting languages: Python, Scala, etc. ·        Familiar with deployment and optimization of open source big data analytic stack on distributed environment. ·        Familiar with compiling, deploying and configuring open source data science tools including Python, R, Spark, etc. ·        Familiar with deploying analytic projects and data science products to production ·        Excellent programming skills"
118,89565010d929f0cb5d4bd4176b7928a0,https://www.mycareersfuture.sg/job/systems-engineer-singapore-airlines-89565010d929f0cb5d4bd4176b7928a0,Systems Engineer (IT Infrastructure),Permanent,SINGAPORE AIRLINES LIMITED,"AIRLINE HOUSE, 25 AIRLINE ROAD 819829","Professional, Executive, Senior Executive",Information Technology,4000,8000,Monthly,16 Jan 2019,0,0,0,1,"You will be responsible for the following:  The role will support SIA Engineering Company’s (SIAEC) IT infrastructure requirements, and work actively with SIA’s IT Division in fulfilling SIAEC’s IT needs. Design technical solutions to meet the requirements of SIA Engineering Company. This includes providing guidance to SIAEC’s Innovation team in translating business needs to technical solutions, e.g. in the use of IoT devices such as cameras, digital sensors, dispensing machines, hot-bonders, tablets. Ensure proposed solutions are in line with SIA’s Information Security policies. Participate in designing enterprise cloud based solutions. Manage Mobile Device Management requirements on an enterprise level. Deploy Artificial Intelligence/ Machine Learning for application within Smart Control Centres across operations. Seek internal approvals to procure services. Any other relevant Ad-Hoc duties  This is a sole contributor role  "," Possess a degree in computer engineering, computer science or equivalent. Experience in managing IT Infrastructure with broad technologies.  Strong network and information security experience. CCNA/CCNP in Routing Switching required, CCIE preferred. Basic understanding of Cisco Software Defined Access preferred. Wireless configuration / deployment experience required (Aruba or Cisco). Basic skills on programming languages required (Python, Jason). IoT networking experience i.e. dot1X, Aruba Clear Pass or Cisco ISE based NAC. Certification/ exposure to Palo Alto, Checkpoint and Cisco Firepower firewalls required. Basic understanding of public Cloud IoT components required. AWS Certified Cloud Certification will be a plus. "
119,b7f719f3c1993046a89df5bf516f59b3,https://www.mycareersfuture.sg/job/research-fellow-nanyang-technological-university-b7f719f3c1993046a89df5bf516f59b3,Research Fellow,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798",Professional,Sciences / Laboratory / R&D,4500,6500,Monthly,16 Jan 2019,1,0,0,0,"The Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY) is developing human-centred computing systems and solutions to help address some of the key challenges related to aging. As a Research Fellow, you will work with a research team to conduct descriptive data analytics to build Computerized Screening profiles for elderly from heterogeneous data sources, e.g., IoT sensor data and computer-based questionnaires interaction data. In addition, you will also develop machine-learning models for predicting the risk of frailty of a user. To improve the accuracy of risk prediction models, we will combine the domain expert knowledge provided by medical professionals and advanced AI techniques.  Key Responsibilities:  Work with the research team to provide technical data analytics solutions Manage and participate data collection and data  analysis processes Design and develop data analysis models/systems  Write research papers "," PhD degree in a relevant technical field such as Statistics, Mathematics, Computer Science, Electrical Engineering Excellent verbal and written communication and interpersonal skills Strong sense of responsibility and work with minimal supervision In-depth understanding of different machine learning models, for example Xgboost, LightGBM, DNN, CNN, RNN/LSTM Hands on experience in data driven analytics/predictive analytics/statistical modeling/machine learning/data mining Experience with at least one programming languages such as Python, R, Java, Scala, C++ Familiar with at least one deep learning frameworks such as Tensorflow, Keras, Pytorch, MxNet  "
120,2cfb89661550332479d574181688ba27,https://www.mycareersfuture.sg/job/backend-developer-yolo-technology-2cfb89661550332479d574181688ba27,Backend Developer,Full Time,YOLO TECHNOLOGY PTE. LTD.,"PICO CREATIVE CENTRE, 20 KALLANG AVENUE 339411",Senior Executive,Information Technology,3000,4000,Monthly,16 Jan 2019,0,0,0,0,"The incumbent is in charge of the entire back-end function. In addition, he or she is also required to constantly improve better end-user experience.  Responsibilities:  Develop, build and maintain RESTful APIs in PHP Design and develop scalable and well-structured back-end architecture Collaborate with product team and designer in application development Ship clean code and highly maintainable product Ensure the performance, quality, stability, scalability, and security of server applications Maintenance of Microservices app  Skills:  Strong proficiency in PHP Experience in developing RESTful APIs Manage queries on MySql database Experience with AWS services especially EC2 and S3 Familiar with Micro-services architecture Familiar with code versioning tools especially Git  Good to have:  Web Socket Redis Elasticsearch/ Kibana (Data Visualization) Modern authorization mechanisms (JSON Web Token) Python (for Machine Learning) Laravel/Lumen framework  We regret that only shortlisted candidates will be notified.  Candidate must possess at least Diploma/Advanced/Higher/Graduate Diploma in Engineering (Computer/Telecommunication) or equivalent. At least 2 Year(s) of working experience in the related field is required for this position. Required Skill(s): PHP, Python Preferably Junior Executive specialized in IT/Computer - Software or equivalent. "," Candidate must possess at least Diploma/Advanced/Higher/Graduate Diploma in Engineering (Computer/Telecommunication) or equivalent. At least 2 Year(s) of working experience in the related field is required for this position. Required Skill(s): PHP, Python Preferably Junior Executive specialized in IT/Computer - Software or equivalent. "
121,5fb5754485af66782640da6ad970b4a6,https://www.mycareersfuture.sg/job/full-stack-developer-dathena-science-5fb5754485af66782640da6ad970b4a6,Full Stack Developer,Full Time,DATHENA SCIENCE PTE. LTD.,"ONE GEORGE STREET, 1 GEORGE STREET 049145","Fresh/entry level, Non-executive",Engineering,4000,6000,Monthly,16 Jan 2019,0,0,0,0,"Job title: Full Stack Developer                Reports to: Solution Architect                  About Dathena Science   Dathena is a Swiss and Singaporean company developing data governance software based on artificial intelligence algorithms. Dathena is the most complete and accurate data governance and classification platform and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations. Using cutting edge machine learning technology, Dathena sift through all unstructured data allowing to regain full control on company’s information.   We are looking for a Full Stack Developer for a permanent position or an internship to work with us and our partners to improve our leading technology in managing the confidentiality of information of our Fortune 500 clients.   Job Purpose:  Full Stack Developer, keen to develop web/cloud-oriented and big data technologies, and integrate new libraries / framework into our codebase. Bring the knowledge and curiosity in Dathena to develop big data applications. Live your passion for software development in exciting Data Science and Cybersecurity projects and be inspired by your colleagues' enthusiasm. ","Responsibilities:   You will implement sophisticated product development projects for the enterprise and cloud environments using modern, agile project methods within the Dathena Development & Engineering team. You will efficiently and competently solve tricky software challenges, because continuous further development and active knowledge exchange mean that you will be working with the latest methods and tools and always be on trend. As a Full Stack Developer, you will cooperate with interdisciplinary teams in projects and experience how technology and team spirit unite to create innovative solutions and work closely with our team of data scientists, researchers and developers to implement the state of the art.  Skills and Qualifications:  Python 3+ JavaScript: React & Node.JS Message queues (RabbitMQ / ZeroMQ) Database design & usage (MySQL / PostgreSQL) Used to develop and deploy on Ubuntu and/or OSX Celery is a plus Django / MVC is a plus Docker is a plus  Soft Skills:  Fluent in English Data-oriented personality Time management Interpersonal Skills Critical Thinking Proactive and interested in A.I., Big Data and cyber-security, the candidate should be able to implement good security practices. New tools are available every day, some of them could improve our overall environment. The Full Stack Developer has to be lazy in a smart way: everything should be automated with as little human interaction as possible  Working Conditions:  The Full Stack Developer must fully embrace the team spirit of a young and innovative Start-up. They must be able to adapt to a multi-cultural environment. Travel and remote location might be required.     Location: Singapore    "
122,2fe50cb7a17176b9cfb57102153837de,https://www.mycareersfuture.sg/job/business-analyst-project-manager-data-science-2fe50cb7a17176b9cfb57102153837de,Business Analyst Project Manager - Data Science,"Permanent, Contract",Company Undisclosed,"HONG LEONG BUILDING, 16 RAFFLES QUAY 048581",Manager,Information Technology,7000,9000,Monthly,16 Jan 2019,1,0,0,1,"Who We Are:  We NS Solutions Asia Pacific (NSAP), together with NS Solutions Japan, provides IT consulting and professional services primarily to financial industry. Distinguishing ourselves from a conventional IT company, we have long standing of relationship with major banking customers with strong track record of in-depth industry knowledge and rich experience of implementing large-scale enterprise systems. NSAP strengthens financial IT services through Project Planning and Promotion, consulting and implementation in Financial Regulation and IFRS arena, and financial data analysis as pivotal pillars of our business growth. To expand data analysis business NSAP forms a partnership with DataRobot, a leader of automated machine learning solution. (Link to press release: https://global.nssol.nssmc.com/sg/201901.html) As expanding the professional services to financial customers beyond Singapore, we are looking for talented, energetic and versatile staff to accelerate our business. Check our corporate web site for more information: https://global.nssol.nssmc.com/sg/ NS Solutions, the parent company, is one of the largest information technology company in Japan, with more than 6,000 professional staffs serving IT consulting and system development for a wide range of customers: manufacturing, finance, retail, telecom, and government sector.  Key Responsibilities:  Interact with business, technology and senior management stakeholders to define business issues, identify necessary data from internal/external sources to be analysed. Identify and collect structured and unstructured data from multiple data sources to analyse and generate meaningful insights. Analyze large amounts of data to discover trends and patterns. Fine-tune solution by working with business stakeholders including documentation of the data attributes, definitions and associated metadata. Perform data mapping, cleansing, data quality checks and verification of data integrity to ensure the data set is properly and accurately sorted out to address business issues. Responsible for running Proof of Concept (PoC) project to analyse data by using Machine Learning Software and techniques.  Clearly communicate complex analysis findings through presentation and documentations to technical and non-technical stakeholders. ","Job Requirements:  Minimum 3+ years of experience in data management applications such as business intelligence, management information systems as Data Scientist or Data Analyst. Experience of working with large data set using Machine Learning Algorithms, Traditional or Deep Learning, Data Mining, Advance Analytics and Data Visualisation. Knowledge of advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, predictive modelling, correlations, pattern analysis etc. Deep knowledge of data science best practices to explain proposed data model strength and weaknesses. Ability to conceptualise business problems and solving them through data analysis.[津田1]  Having industry expertise background from one of the followings is preferable: Financial (bank, insurance, leasing), Manufacturing, Telecommunications and Retail. Traveling within ASEAN region may be required.  Skills and Competencies:  Bachelor/Master degree with major and/or specialisation in Statistics, Mathematics, Computer Science, or Information Management is preferred. Visualisation: QlikView, Tableau, Cognos, SAP Business Objects. (regarded as an advantage) Programming Language: R, Python, SAS, and SPSS. (regarded as an advantage) Experience of SQL languages for data orchestration, manipulation and optimization is preferable. Strong attention to detail with clear verbal and written communication skills. "
123,a8ea04bb15f038423786db12de79e754,https://www.mycareersfuture.sg/job/senior-software-engineer-machine-learning-%E2%80%93-chatbot-team-agoda-company-a8ea04bb15f038423786db12de79e754,"Senior Software Engineer, Machine Learning – Chatbot (NLP) Team",Full Time,AGODA COMPANY PTE. LTD.,"PRUDENTIAL TOWER, 30 CECIL STREET 049712",Professional,Information Technology,8000,12000,Monthly,15 Jan 2019,0,0,0,0,"Agoda is the largest and fastest growing online hotel booking platform in Asia. And as a Booking Holdings (BKNG) company, the world’s leading provider of brands that help people book great experiences through technology, we are part of the largest online travel company in the world. We have the dynamism and short chain of command of a startup and the capital to make things happen. In this competitive world of online travel agencies, finding even the slightest advantage in the data can make or break a company. That is why we put data and machine learning systems in our top priorities. We are seeking passionate full stack engineers to join our team in Singapore. Chatbot (NLP) is a greenfield project where successful candidate will be exposed to unique variety of problems like serving and optimization of machine learning models, microservices, containerization, orchestration platforms, modern UI frameworks, high throughput messaging and distributed systems. At Agoda we don't just love technology, we live technology. Our culture values constant learning, experimenting, fail fast, and having fun.   Responsibilities:  Design solutions used by millions of people every day Work with cutting-edge applications of Machine Learning Create Big Data processing pipelines and storage strategy Constantly look for ways to improve our products, code-base and development practices Write great code and help others write great code ","About you:  4+ years of industry experience, including software development experience Bachelor's degree in Computer Science/Information Systems/Engineering or related field Experience or willingness to learn Python, Scala, TensorFlow, RabbitMQ and related technologies Strong coding ability and design skills in one or more object-oriented languages Very good understanding of algorithms and data structures Ability to separate hype from reality    Nice to have:  Experience building large-scale, high performance solutions Educational background (including online) in Machine Learning Familiarity with ‘Big Data’ technologies and tools Experience with modern UI frameworks and data visualization frameworks Working in an agile environment using test driven methodologies Good systems administration skills in Linux Experience working with Open Source products    A few of the technologies we use: Python, Scala, TensorFlow, Jupyter, Kubeflow, Kubernetes, Docker, Flask, Hadoop, Spark, Redis, Couchbase, Cassandra, Postgres, RabbitMQ, Kafka, ElasticSearch, Logstash, ReactJS, Kibana, Grafana. We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates. "
124,e6718fcccdddc66d73fd0d13ff0a34f4,https://www.mycareersfuture.sg/job/data-scientist-e6718fcccdddc66d73fd0d13ff0a34f4,IT Data Scientist (Machine Comprehension),Full Time,Company Undisclosed,,Professional,Information Technology,7000,12000,Monthly,15 Jan 2019,0,0,0,0,"We are looking for exceptional Machine Comprehension Data Scientists to embark on our journey to deploy world class deep learning and machine learning algorithms in the investment and portfolio management space. The Data Scientist (Machine Comprehension) should have a PhD or Masters in Computer Science, Statistics, Deep Learning or Machine Learning and a strong background in statistical methods such as Bayesian statistics, time series, and feature engineering. If you have a passion for building state-of-the-art deep learning and machine learning models and have a keen interest in Natural Language Processing and semantic AI, this is your opportunity.   Responsibilities  Implement state-of-the-art deep learning and machine learning models for feature engineering and question/answer/prediction in investment platform Conduct original research on our large repository of data, both proprietary and open-source Write production-level code linking new and existing data pipelines with scripts for feature engineering, machine learning predictive models and visualization Write tests to check for integrity of our data, models and predictions "," Comfortable with core machine learning algorithms implementation and theory Advanced in scripting languages (Python, R and UNIX Shell), Git project management, deep learning frameworks (PyTorch /Keras / TensorFlow..), and programming skills (Java or C++) Question and Answering modelling (Squad/ CNN News dataset) Can communicate clearly and cogently on concepts, processes and algorithms used Ability to work in time-sensitive environments and to approach problems from different angles Deep learning experience Knowledge of basic finance will be a plus    Differentiating Factors  Published at top deep learning conferences like ICLR, NIPS and ICML. Participated in SQUAD competition and got good F1 score above 80% or Github machine learning project. A vibrant Github account with open-source repositories useful to the community Significant experience at a top research lab, financial/investment analytics entity, or hedge fund "
125,d4e45fcd4d16785a131aca3a0100fd5a,https://www.mycareersfuture.sg/job/data-scientist-d4e45fcd4d16785a131aca3a0100fd5a,IT Data Scientist,Full Time,Company Undisclosed,,Professional,Information Technology,7000,12000,Monthly,15 Jan 2019,0,0,0,0,"Melding Deep Learning and Trading - We are looking for exceptional deep learning scientists and engineers to embark on our journey to deploy state-of-the-art deep learning and machine learning algorithms for trading in the global macro space with an initial focus on currency options.   Responsibilities  Implement state-of-the-art deep learning and machine learning models for feature engineering and question/answer/prediction in investment platform Conduct original research on our large repository of data, both proprietary and open-source Write production-level code linking new and existing data pipelines with scripts for feature engineering, machine learning predictive models and visualization Write tests to check for integrity of our data, models and predictions "," Comfortable with core machine learning algorithms implementation and theory Advanced in scripting languages (Python, R and UNIX Shell), Git project management, deep learning frameworks (PyTorch /Keras / TensorFlow), and programming skills (Java or C++) Strong background in statistical methods (Bayesian statistics, time series, and feature engineering) Question and Answering modelling (Squad/ News dataset) Can communicate clearly and cogently on concepts, processes and algorithms used Ability to work in time-sensitive environments and to approach problems from different angles Deep learning experience Knowledge of basic finance Database management      Differentiating Factors  Publishing at top deep learning conferences like ICLR, NIPS and ICML. Have participated in Github machine learning project. A vibrant Github account with open-source repositories useful to the community Significant experience at a top research lab, financial/investment analytics entity, or hedge fund "
126,e0693fa799c9044396dd804b39ae6d18,https://www.mycareersfuture.sg/job/chatbot-engineer-e0693fa799c9044396dd804b39ae6d18,IT Chatbot Engineer,Full Time,Company Undisclosed,,Professional,Information Technology,7000,12000,Monthly,15 Jan 2019,0,0,0,0,"We are looking for exceptional deep learning scientists and engineers to embark on our journey to deploy state-of-the-art chatbot deep learning and machine learning algorithms in the investment and portfolio management space.   Responsibilities  Implement state-of-the-art deep learning and machine learning models for feature engineering and question/answer/prediction in investment platform Process massive amounts of data from a wide variety of sources, detect meaningful patterns and derive a rich set of insights that can be used to improve the quality of the user experience that's offered Conduct original research on our large repository of data, both proprietary and open-source Support product ownership team and other related functions in bringing new concepts to reality Write production-level code linking new and existing data pipelines with scripts for feature engineering, machine learning predictive models and visualization Working on a three-tier architecture environment Prepare demo and protyping Write tests to check for integrity of our data, models and predictions   "," Solid foundation in data structures, algorithms, OO Design and patterns Experience with one or more languages such as JavaScript, Java, C#, HTML5, CSS3, Bootstrap3, PHP, Laravel, AngularJS, jQuery, Node.js, Python In depth knowledge of scripting languages (Python, R and UNIX Shell), Git project management and deep learning frameworks (eg. PyTorch /Keras / TensorFlow) Experience building Chatbots and interactive intelligent agents Experience in artificial intelligence, machine learning technology Experience with web application frameworks Experience building large/medium-scale distributed systems using RESTful web services Familiarity with database (SQL, Oracle, Stored Procedures) "
127,6e51fc02bf7a78acd8de3d7b5f67e394,https://www.mycareersfuture.sg/job/design-engineer-electronic-component-mnc-5-days-week-fresh-grad-welcome-career-trend-6e51fc02bf7a78acd8de3d7b5f67e394,Design Engineer / Electronic Component MNC / 5 days week / Fresh grad welcome,Full Time,CAREER TREND PTE. LTD.,"THE ADELPHI, 1 COLEMAN STREET 179803",Senior Executive,Information Technology,4000,5500,Monthly,15 Jan 2019,0,0,0,0,"Work with marketing teams building the next-generation intelligent HW platforms. As an architect, you’ll work with SW/applications team on driving future requirements on machine learning/computer vision applications, prototype them in C++/Python, write architecture spec and work with HW & FPGA design teams for implementation. • CS/EE/Data Scientist specializing in Machine Learning, Deep Learning or computer vision systems • Expertise and experience in machine learning algorithms, such as convolutional neural network, LSTM (Long Short-Term Memory) neural network, classification/detection and their applications • Familiarity in computer vision algorithms such as object detection, tracking and recognition, 3D computer vision — SfM/SLAM Understanding the system implications of aforementioned algorithms in terms of performance and power","• Programming skills in C++/C and Python • Knowledge in image processing pipeline is a plus • Strong communication skills and ability to work across various groups • FPGA understanding is a plus • Degree in computer science or EEE with design experience If you are keen in this position, kindly send your resume to ec@careertrend.com.sg (Eileen Chin, EA Personnel Registration No.: R1108737)"
128,03cec692d094a48f4c2031fd32033656,https://www.mycareersfuture.sg/job/svp-vp-senior-data-scientist-data-transformation-technology-operations-dbs-bank-03cec692d094a48f4c2031fd32033656,"SVP / VP, Senior Data Scientist, Data & Transformation, Technology and Operations (1800039X)","Permanent, Full Time",DBS BANK LTD.,,"Senior Management, Middle Management",Banking and Finance,9500,19000,Monthly,15 Jan 2019,0,0,0,1," Drive enterprise strategy on testing and production deployment of machine learning and AI products  Drive the discussion between data science and IT on the architecture and solution design to ensure production and deployment is fully considered Drive the testing and deployment of the machine learning products into production Lead the requirement gathering and release road map for analytic platform features Develop enterprise standards and practice on testing and production deployment of machine learning and AI products Drive the adoption of software development practice in data science teams, such as agile development, software development life cycle (SDLC), continues improvement and continues deployment (CI/CD) and testing strategy. "," Solid track record of deploying machine learning solution into production environment and integrate into operation  Expert in identifying and solving issues when putting model into production – load balancing, distribution, through-put, latency, availability, stability, refactoring, repackaging, versioning, scoring, real time / online scoring, performance monitoring and management,   Expert on the open source stack of bid data and machine learning solutions such as Hadoop, Spark, YARN, Mesos, Hive, Impala, Spark Streaming, Kafka, API, Anaconda / R studio server, Kubernetes,  Familiar with development, deployment, production and operation life cycle of the machine learning product and software best practices such as SDLC, CICD, Test-Driven Development (TDD) Excellent problem-solving skills and strategic thinker Proficiency in Python, R, Spark, Java and Scala Good interpersonal skill and able to influence the decision making of data science and IT team Solid written and communication skills "
129,a0be48786e2d6a4845195fb4720c5534,https://www.mycareersfuture.sg/job/research-fellow-nanyang-technological-university-a0be48786e2d6a4845195fb4720c5534,Research Fellow,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798",Executive,Sciences / Laboratory / R&D,4500,6000,Monthly,15 Jan 2019,1,0,0,0,"Established in 1981, the SCHOOL OF ELECTRICAL AND ELECTRONIC ENGINEERING (EEE) http://www.eee.ntu.edu.sg is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With more than 150 faculty members and an enrolment of more than 4,000, of which about 1,000 are graduate students, it is one of the largest EEE schools in the world and ranks 6th in the field of Electrical & Electronic Engineering in the 2017 QS World University Rankings by Subjects.   We are looking to hire a motivated post-doc to work on machine learning and data analytics. The candidate must have a strong background in machine learning, AI, signal processing, optimization methods, probability, and statistics. The candidate must have a Ph.D. in relevant fields. Job Responsibilities:  Develop ML algorithms for inference in networks, including IoT networks. Perform software implementation and empirical studies. Help to supervise graduate students and contribute to proposal writing.    Application Procedure: Interested candidates please send your CV/resume to: Prof Tay Wee Peng School of Electrical & Electronic Engineering Nanyang Technological University 50 Nanyang Avenue, Block S2.1 Singapore 639798   E-mail Address for E-mailed Applications: wptay@ntu.edu.sg Electronic submission of application is highly encouraged. Only shortlisted candidates will be notified for interview.","Required:  Ph.D. in Electrical Engineering, Computer Science, Statistics or other related fields. Solid Mathematical skills. Experience in implementing algorithms for machine learning and data analytics. English: Fluent speaking/writing skills 4 years of research experiences, including PhD studies     "
130,374d74aea99fecf78bf4975dcd927715,https://www.mycareersfuture.sg/job/assoc-data-scientist-consumer-banking-group-business-analytics-to-dbs-bank-374d74aea99fecf78bf4975dcd927715,"Assoc, Data Scientist, Consumer Banking Group Business Analytics, T&O (1900007A)",Full Time,DBS BANK LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Senior Executive,Information Technology,3750,6800,Monthly,15 Jan 2019,0,0,0,0,"Business Function    As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage. Our financial solutions are not only the best in the business – they were made just right for you.    About this role  The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.   Responsibilities     Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc. Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more. Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region Help the team with methodology and guidance in the areas of experiment design and data analysis. "," Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background. 6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results  At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models. Good understanding of technology tools especially those related to analytics, data & statistical modelling.  Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.  Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc.. Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful. Ability to communicate complex analysis/models across a diverse team. Good written and oral communication skills "
131,2ce05fc7647964335c4b0f1fcd1d9cb6,https://www.mycareersfuture.sg/job/avp-data-scientist-consumer-banking-group-business-analytics-to-dbs-bank-2ce05fc7647964335c4b0f1fcd1d9cb6,"AVP, Data Scientist, Consumer Banking Group Business Analytics, T&O (1900007A)",Full Time,DBS BANK LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Senior Executive,Information Technology,6500,11700,Monthly,15 Jan 2019,0,0,0,0,"Business Function    As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage. Our financial solutions are not only the best in the business – they were made just right for you.    About this role  The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.   Responsibilities     Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc. Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more. Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region Help the team with methodology and guidance in the areas of experiment design and data analysis. "," Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background. 6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results  At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models. Good understanding of technology tools especially those related to analytics, data & statistical modelling.  Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.  Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc.. Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful. Ability to communicate complex analysis/models across a diverse team. Good written and oral communication skills "
132,d92a9de66e079d8c0d801cdfbb58c323,https://www.mycareersfuture.sg/job/snr-assoc-data-scientist-consumer-banking-group-business-analytics-to-dbs-bank-d92a9de66e079d8c0d801cdfbb58c323,"Snr Assoc, Data Scientist, Consumer Banking Group Business Analytics, T&O (1900007A)",Full Time,DBS BANK LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Senior Executive,Information Technology,5000,9000,Annually,15 Jan 2019,0,0,0,0,"Business Function    As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage. Our financial solutions are not only the best in the business – they were made just right for you.    About this role  The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.   Responsibilities     Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc. Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more. Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region Help the team with methodology and guidance in the areas of experiment design and data analysis. "," Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background. 6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results  At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models. Good understanding of technology tools especially those related to analytics, data & statistical modelling.  Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.  Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc.. Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful. Ability to communicate complex analysis/models across a diverse team. Good written and oral communication skills "
133,4a7face004542ddc56cc8ace5ced9955,https://www.mycareersfuture.sg/job/software-engineer-encora-technologies-4a7face004542ddc56cc8ace5ced9955,Software Engineer,Contract,ENCORA TECHNOLOGIES PTE. LTD.,"THE SIGNATURE, 51 CHANGI BUSINESS PARK CENTRAL 2 486066",Middle Management,Information Technology,5000,7500,Monthly,15 Jan 2019,1,0,0,0,"3-6 months renewable contract through Encora  ·       Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power. ·       Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies. ·       Creation and support of real-time data pipelines built on AWS technologies including EMR, Glue, Kinesis, Redshift/Spectrum and Athena ·       Supporting existing ETL/ELT infrastructure built on Pentaho, Python, EMR ·       Continual research of the latest big data, elasticsearch technologies to provide new capabilities and increase efficiency ·       Working closely with team members to drive real-time model implementations for monitoring and alerting of systems. ·       Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning ·       Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers","·       + years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets ·       Demonstrated strength in data modeling, ETL development, and data warehousing ·       Experience in programming in Python ·       Experience using big data technologies (think Hadoop, Hive, Hbase, Spark etc.) ·       Experience using business intelligence reporting tools (Tableau, Cognos etc.) ·       Knowledge of data management fundamentals and data storage principles Knowledge of distributed systems as it pertains to data storage and computing"
134,61b2e7a6347ebb9e1f4da0a3ed544639,https://www.mycareersfuture.sg/job/research-assistant-national-university-singapore-61b2e7a6347ebb9e1f4da0a3ed544639,Research Assistant,Contract,NATIONAL UNIVERSITY OF SINGAPORE,21 LOWER KENT RIDGE ROAD 119077,Non-executive,Sciences / Laboratory / R&D,36000,60000,Monthly,15 Jan 2019,1,0,0,0,"We have multiple postdoctoral data scientist/data engineer openings for the Grab-NUS AI Lab anchored at the Institute of Data Science at National University of Singapore. Grab (http://www.grab.com/sg/) is Southeast Asia’s leading on-demand transportation platform. The Grab-NUS AI Lab aims to solve transportation challenges with intelligent insights and innovative services enabled by rigorous research in AI and data science. The lab will focus on five key areas: passengers, drivers, traffic, locations, and big data AI platform. We will develop big data-driven machine-learning algorithms to predict and meet the needs of both the passengers and drivers, as well as to model and understand the city’s traffic and its locations better. The lab will also develop a state-of-the-art real-time visual and analytics AI platform to deploy the algorithms on big data. The successful candidate(s) will conduct advance research on AI and data science in one the five focus areas mentioned above, led by distinguished professors from NUS’ Computing Department together with experienced data scientists from Grab.","PhD/MS/BS in Computer Science or related field, with specialization related to data mining, machine learning, or databases; Publications in top-tier conferences in Data Mining, Machine Learning, Databases and other relevant areas; Prior research experience in transportation data analytics would be a plus; Proficiency in large-scale programming systems for big data and AI; Good oral and written skills in English; Experienced in working in a team, with people of diverse skillsets, including industry end-users; Passionate in working with developers and users to get solutions into use. The appointment will be for two years. Selected candidates will be offered with attractive/competitive salaries and benefits. If interested, please send your resume and a cover letter to seekiong@nus.edu.sg."
135,632b834a6c1272a68646d5a8812cb4f5,https://www.mycareersfuture.sg/job/data-scientist-government-technology-agency-632b834a6c1272a68646d5a8812cb4f5,Data Scientist (Human Capital),Full Time,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Middle Management,"Information Technology, Public / Civil Service",5000,8000,Monthly,15 Jan 2019,0,0,0,0,"The People Organization Group (POG) is the GovTech division that oversees and promotes our human resources. It is in charge of fostering the holistic development and enrichment of our employees, both individually and as a team.    We are seeking an analytics professional to join us as a Data Scientist to develop our advanced HR analytics strategies. You will be given opportunities to apply people analytics using advanced analytics technologies, subsequently making critical decisions to directly impact initiatives and solutions and meet business needs. Success in the role will be demonstrated by your ability to thrive in a fast-paced and dynamic environment.   What to Expect:   Consult with HR and organizational partners to identify business problems Extract and interpret large data sets from HR Centers of Excellence using complex data analysis Design holistic analytical reports, articulating and transforming them into actionable people insights for key HR stakeholders Level-up analytical capabilities for POG by enhancing intellectual programming analytics through integrating current and new HR systems and technologies Participate in data science studies and projects to discover new analytics technologies   How to Succeed:   At least 2 years of professional experience in data science, business analytics or a related field In-depth knowledge of basic data science concepts (e.g. machine-learning algorithms, natural language processing, business application of statistics) Technical expertise in data analysis technologies (e.g. Tableau, Python, R, SAS) and database development tools (e.g. SQL, Hadoop) Excellent communication (written and verbal) and stakeholder-management skills Self-starter and passionate in data analysis  ",None
136,04069dafddeaa1f3743a42032b7bd341,https://www.mycareersfuture.sg/job/asia-pacific-cib-operations-%E2%80%93-change-delivery-lead-vice-president-jpmorgan-chase-bank-na-04069dafddeaa1f3743a42032b7bd341,"Asia Pacific CIB Operations – Change and Delivery Lead, Vice President","Permanent, Full Time","JPMORGAN CHASE BANK, N.A.",,Senior Executive,Banking and Finance,7500,15000,Monthly,15 Jan 2019,0,0,0,1,"JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.5 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. J.P. Morgan is a place for talented people from all backgrounds and perspectives because our clients come from all backgrounds and perspectives. We encourage a culture of inclusion, where everyone's opinion counts and all employees have the freedom to deliver their absolute best. This is why we work hard and invest in attracting and developing a diverse workforce. Learn more about our Business Resource Groups in how they help our employees build successful careers and reach their greatest potential. #GoDigitalOps is a program team focused on implementing digital tools across Corporate and Investment Banking (CIB) Operations to enhance process controls, reduce manual processes and streamline end to end processes. Tools to drive innovation include, but are not limited to – Robotic Process Automation (RPA), Data Management Tools, Data Analytics and Optical Character Recognition (OCR). The team is also responsible for driving APAC focused Operations change programs. This role is to drive multiple such change programs for our APAC Operations teams. The primary responsibilities will be: • Understand the Operations landscape including pain points and manual processes. • Change enabler - drive projects to accomplish Operations efficiencies, address pain points. • Independent project delivery – have an end-to-end view of critical path to achieve the milestones and deliver within cost/timelines. Other Responsibilities • Business Analysis – Understand business processes in detail where required and challenge actively status quo. Analytical thinking is critical to the role. • Collaborate with Ops Managers and Technology partners globally to identify potential opportunities for innovation. The candidate will be part of multiple global/regional forums and working groups to share ideas and drive changes. • Leverage Intelligent Automation tools such as RPA and Machine Learning. • Active stakeholder management and communications for a wide variety of audiences internally and externally (clients and vendors).  ","Qualifications • Degree from a top-tier program. • Proven track record of delivering projects and initiatives. Demonstrated fluency across operations and technology environments • Overall 8-10 years of working experience. Minimum 3 years of independent project delivery in Financial Services industry is required. • Aptitude / Track record of continuous learning. • Strong Interpersonal skills are required – the candidate would be expected to work with colleagues across geographies and must have a proven track record of partnering with multiple teams and locations. • Effective organizational and project management skills; able to manage multiple work streams and processes under tight deadlines. • Strong entrepreneurial spirit and ability to structure and scope complex problems; the candidate must be self-starting and independent in managing their own delivery. • Ability to assimilate broad-ranging information quickly and to distill it into key points. Communicate clearly and in a concise manner. • Excellent oral and written executive-level communication and presentation skills in English. Proficiency in regional Asian Languages is a plus. • Strong knowledge of MS SharePoint, Microsoft PowerPoint, Excel. Knowledge and exposure to Intelligent automation tools, Data Analytics and Machine Learning is a plus. • Ability to travel around Asia-Pacific We strongly encourage all applicants to apply via our careers website where you are able join our Talent Network to receive customized vacancy notifications and ensure that your details are accessible by our global recruiting team - www.jpmorganchase.com/careers. A quick link to this particular job posting can be found in this URL: http://jobs.jpmorganchase.com/ListJobs/ByKeyword/180115481/ Please note that only short-listed candidates will be notified. We thank you for your interest and wish you all the best in your career. Yours Sincerely, Human Resources JPMorgan"
137,b6cd750d78ac8eb52fe762130f97b186,https://www.mycareersfuture.sg/job/data-engineer-rakuten-asia-b6cd750d78ac8eb52fe762130f97b186,Data Engineer,Full Time,RAKUTEN ASIA PTE. LTD.,"CAPITAGREEN, 138 MARKET STREET 048946",Manager,Information Technology,4500,8000,Annually,15 Jan 2019,0,0,0,0," Implement cutting-edge data infrastructure platform which is vendor unlocked and multi-tenant. Implement and manage robust ETL pipeline based on streaming. Implement easy-to-use generalized data accessing layer by leveraging the details of storage engine. Implement distributed machine learning pipeline by coordinating with data science team. Develop data driven culture for integrated partners. Propose new technologies, tools to improve whole process of data system integration. ","Must have  Bachelor degree or higher in Computer Science or related field. Experience in at least one language for web backend application & data processing, such as Java, Python, etc. Experience in NoSQL database, such as Redis, Solr, MongoDB, etc. Experience in Linux system operation, ability to manage system level task such as monitoring and troubleshooting your deployed applications. Good communication skills, ability to work in fast pace R&D. High motivation for learning, skill up, system ownership and contribution to the team.  Must have for Senior position  3+ years of experience in developing large scale data processing platform of various unstructured data. 3+ years of experience in using various big data frameworks and NoSQL databases, such as Hadoop, Kafka, Redis, Solr, etc. Practical knowledge of web system performance tuning including OS, middleware, I/O and application.  Good to have  Experience on cloud computing service, such as AWS. Experience in handling multilingual data. Knowledge in data science domains, such as NLP, Data Mining, and Deep Learning will help your collaboration with the data scientists. "
138,987b97c6e0f4b0a83792eb11b920625b,https://www.mycareersfuture.sg/job/senior-software-engineer-flybot-987b97c6e0f4b0a83792eb11b920625b,Senior Software Engineer,Full Time,FLYBOT PTE. LTD.,,Executive,Information Technology,4000,10000,Monthly,15 Jan 2019,0,0,0,0,"We are high-tech software development firm with mission of providing the most advanced technological services and vision of serving clients all over the globe. We advocate honesty, creativity, efficiency, and teamwork since its incorporation, with these corporate values in mind, we gain our reputation and significant growth in business as return.   We are researching/using cutting-edge technologies to design & implement solutions/systems to solve complex problems in a simple, scalable way, specialize in propagating Clojure(script) computing language, using Clojure(script) language to implement both backend/web/mobile system/apps, designing & implementing cloud based microservices, event driven architecture with stream processing, data visualization/analysis, machine learning techniques.   We are a team of highly enthusiastic, energetic and tech savvy engineers. The strength of our company lies in rich experience of its people, who come from diverse background.","  Computer Science is preferred or equivalent experience.       Proficiency in Clojure/Script.       Familiar with functional programming concepts is preferred.       Machine Learning, and/or Artificial Intelligence experience is a plus.        API design skills        Excellent debugging and critical thinking       Drive and eagerness to learn Clojure/Script, as Clojure is the main functional language we use at work.   "
139,9709ca48737abb7d579309ea862e20a7,https://www.mycareersfuture.sg/job/pl-sql-developer-synechron-technologies-singapore-9709ca48737abb7d579309ea862e20a7,PL SQL Developer,Permanent,SYNECHRON TECHNOLOGIES SINGAPORE PTE. LTD.,"ONE RAFFLES PLACE, 1 RAFFLES PLACE 048616","Senior Management, Middle Management, Manager","Banking and Finance, Information Technology",60000,120000,Monthly,15 Jan 2019,0,0,0,1,"Synechron Technologies draws on over 17 years of financial services IT consulting experience to provide expert systems integration expertise and technical development work in highly-complex areas within financial services this making it one of the fastest-growing digital, business consulting & technology firms around the world.   Headquartered in New York and with 18 offices around the world, Synechron has limitless opportunities for our ambitious and innovative employees to contribute to our growth story.   We are embracing the most cutting-edge innovations in areas like Blockchain, Artificial intelligence ,Machine learning and Cloud Computing as well as delivering end-to-end Consulting, Technology, and front-to-back application design capability that allows us to see a project through from start-to-finish as a trusted advisor and partner to our clients, this allowing our people to work on the most industry-leading initiatives that will shape the future of the financial services industry.   This has helped us to grow to $500+ million in annual revenue and 8,000 employees, and we’ve set an ambitious target to be a $1B company by 2020.  ","Synechron is looking for a PLSQL Developer to work with various Tier 1 banks, on their retail and investment, internal and external applications.    Technical competency Oracle db , PL/SQL , Unix , shell scripting Overall experience of 6+ yrs. Development experience is a must. Minimum Hands on duration for all the above skills (4 + years ) for Oracle / PLSQL Oracle PL/SQL programming , DB utilities usage & package creation Proficient in UNIX and shell scripting is a must Performance tuning of Oracle PL/SQL packages & procedures Ability to develop technical design from functional specifications Ability to do impact analysis for given functional / technical design Ability to create High level and low level design / estimation Capability for Coding/Unit and Integration /system testing Ability to do code reviews and create test plan Good communication skills is a must & client interaction experience is a plus. Banking domain knowledge would be preferred "
140,25fe0a13a13551d213e24311addaaf58,https://www.mycareersfuture.sg/job/applied-research-scientist-client-solutions-element-ai-25fe0a13a13551d213e24311addaaf58,Applied Research Scientist - Client Solutions,Permanent,ELEMENT AI INC. PTE. LTD.,,Executive,Information Technology,8000,12000,Monthly,15 Jan 2019,0,0,0,1,"Element AI is one of the world’s largest applied artificial intelligence companies and one of Canada’s fastest growing startups. We constantly push the frontier of knowledge, tackling the world's biggest and most interesting challenges in artificial intelligence, machine learning and operations research.","As an Applied Research Scientist on the Client Solutions team, you will: Provide in-depth scientific AI expertise during the early phases of opportunity with a client. Your presence in client interactions will provide the technical knowledge necessary to deploys state of the art AI solutions. You will answer tough and interesting questions and help educate potential clients on the possibilities that AI offers for their needs. After helping your team identify the client needs and use case scoping, you will do the necessary technical analysis, including some coding, building of early ML models, and data audit to make sure the proposals are technically sound and aligned with the company goals. The proposals you participate in preparing will define initiatives that different teams in Element AI can be involved in. Therefore, your participation in proposals will be critical in guiding the projects. You will stay in touch with the internal ML teams to make sure you know what our capabilities and roadmaps are. Also, to be successful in your role, you will be expected to stay up to date on the advances happening in a broad section of the AI field. Ability to travel for client engagements is a plus. This will be discussed with you and balanced according to your possibilities. Your day-to-day work can be very varied: Your day could begin by reading up on the necessary material and techniques to do a great job discussing a client opportunity. After meeting the client, you debrief with our colleagues and agree on the next step, based on the clients alignment with Element AI goals and offerings. Then, you might spend some time reading up on current company projects, work on your own personal learnings and answer various technical questions from your colleagues. Or You might spend the day digging deeply into a data sample provided by a client, doing the necessary data audit and knowledge discovery to make sure our proposed solution is feasible and well scoped. Then you would help writing the proposal and ensure it's technical soundness and feasibility. Or You might travel for 3 days to a client location and act as a technical expert to an on-site workshop where you will assist the client in understanding how various AI methods can be applied to help transform their business and solve their current problems. What do you need to be happy and successful in that role You like communicating with people of different profiles: customers, business-driven colleagues, developers, scientists. Multitasking is something that comes easily to you and you are able to focus on in-depth tasks when needed. You have broad AI expertise and are well-versed in the concepts of multiple domains of the field with significant depth in at least one of them. You are naturally curious and like to stay up to date with trends of multiple field of AI, reading and discussing with colleagues. You have experience in application of AI to business and enjoy actively figuring out how AI can be applied to practical industrial problems in a way that will benefit clients. You understand the reality of implementing AI products. Notably, you understand that running a model on the varied and often noisy data that arise in a commercial context differs significantly from running it on a clean academic dataset You have scientific programming experience and enjoy getting your hands dirty in various coding tasks. You have a background in a scientific or technical field and are driven by applied work. What we offer for your valuable work   Highly dynamic, innovative, passionate, intrapreneurial team   Open and inclusive company culture   Worldwide competitive salary   Participation in the company success through the Employee Stock Option Plan   Participation in company employee benefits program   Flexible hours (outside of core hours)   Autonomous, self-managed Agile teams   If you’re excited at the idea of joining a fast-growing and agile startup we want to hear from you! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status."
141,0255c0c853b659b2db32cfad15778b9a,https://www.mycareersfuture.sg/job/apac-regional-marketing-manager-element-ai-0255c0c853b659b2db32cfad15778b9a,APAC Regional Marketing Manager,"Permanent, Full Time",ELEMENT AI INC. PTE. LTD.,,Manager,Marketing / Public Relations ,12500,17500,Monthly,15 Jan 2019,0,0,0,1,"APAC Regional Marketing Manager - Singapore Element AI is one of the world’s largest applied artificial intelligence companies and one of Canada’s fastest growing startups. We constantly push the frontier of knowledge, tackling the world's biggest and most interesting challenges in artificial intelligence, machine learning and operations research. Based in Singapore, the APAC Regional Marketing Manager reports to the VP Marketing with a dotted line to the Singapore Sales Director. This role is responsible for planning, organizing and executing marketing activities and programs that increase brand awareness, generate new sales prospects and increase employer notoriety in the Asia-Pacific region. The APAC Regional ABM Marketing Manager leads and builds marketing plans for their target geography in multiple verticals.","What you'll do: Brand  Manage and coordinate marketing (PR, advertising, events staff and activities); Conduct and leverage market intelligence & research to determine market requirements for existing and future products/brands and market positioning for our corporate brand by monitoring the rapidly evolving best practices in the commercial AI industry; Analysis of customer research, current market conditions and competitor information Develop and implement marketing plans and projects for new and existing products Expand and develop marketing platforms in particular our social & online media; Propose and manage marketing resources including budgets, projects for your product/brand portfolio; Liaise and manage external agencies including media, promotions and advertising; Collaborate with various internal teams including sales, research & development, and design.  Sales Enablement  Develop and execute a comprehensive demand generation strategy that drives pipeline growth, account acquisition and penetration for multiple target industries to meet Element AI’s current and future sales goals in Asia-Pacific inline with our corporate ABM strategy:     Lead scoring & nurturing, marketing automation, and trigger-based actions (emails, calls, gated content), webcasts; Multi-touch: Provide sales enablement on an account and industry basis using various channels including digital (SEO/SEM, paid advertising), PR, events, social media and web/microsites; Leverage our marketing stack (e.g., Marketo, SFDC, HubSpot, Eventbrite, etc.); Leverage analytics to report on all marketing activities (KPIs and ROI goals), especially lead flow, to ensure sales channels are executing in a timely manner.   Collaborate with internal stakeholders (product & sales) to adapt content marketing to align with the APAC buyer’s journey to drive multi-channel brand engagement:     Create annual and quarterly marketing plans designed to execute 1:1, 1: few, and broad-based initiatives to meet pipeline requirements for targeted industries, accounts and key individuals; Adapt and translate targeted content in service of industry or account specific pain points and how our products solve them in multiple formats including webinars, white papers, custom landing pages and other gated content; Develop A/B testing of content per industry and design to maximize traffic conversion; Collaborate with sales to adapt the MQL criteria to trigger accurate and timely hand-off to start SQL; measure conversion to closed sales; Communicate and educate the local sales team regarding new and planned ABM activities including global, regional and local programs; Support creation of collateral, presentations, and marketing materials for sales and inbound activities on an ongoing basis - provide tools and training for APAC region.    We want you to join because you:  Have a Bachelor's degree in Marketing, Business, Engineering or comparable education/experience; Have 8+ years of experience within B2B SaaS Marketing or ABM/Demand Generation or a field marketing role; Have 5+ years of sales, marketing or product experience within a global organization within a field office in Asia-Pacific; Possess a deep understanding of APAC cultural business practices within account-based marketing, demand generation, inbound, and content marketing strategy; Speak the following languages: Fluent English written & spoken required; functional Mandarin, Malay, or Cantonese are an asset; Have a history of successfully orchestrating content, SEO/SEM, direct and brand marketing resources in service of ABM; Have a proven track record of building repeatable and saleable new customer acquisition programs that meet or exceed volume and CPA $ targets; Have demonstrated mastery of the data, analytics and funnel metrics/KPIs associated with a SaaS software model or product sales model.  Also you:  Possess a good understanding of AI and its abilities to solve problems in the above industrial areas; a willingness to learn and create new AI solutions with our products for clients; Take ownership, focus on solving problems, and demonstrate a high level of accountability; Thrive in a highly entrepreneurial, fast-changing, global, multicultural, and collaborative environment where people are driven, enthusiastic, and not afraid to take risks; Possess superb presentation and communication skills, enjoys information sharing and collaborating with stakeholders across the business; Highly analytical, data-driven, leverages current-state reporting to optimize ABM marketing programs to drive growth and meet overall company goals and metrics; Participate actively in a high-performing team of professionals, fostering a spirit of teamwork that supports diversity, cohesiveness, and support; Able to work well under pressure while maintaining a positive and professional demeanor; Great motivator that can push their colleagues while coaching them to be better at their role.  What we offer for your valuable work:  Highly dynamic, innovative, passionate, intrapreneurial team; Open and inclusive company culture; Participation in company employee benefits program; Flexible hours (outside of core hours).  We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status."
142,d4bae7ae305e3725b4ae8fe1cc7e5723,https://www.mycareersfuture.sg/job/solutions-strategist-industry-solutions-element-ai-d4bae7ae305e3725b4ae8fe1cc7e5723,"Solutions Strategist, Industry Solutions",Permanent,ELEMENT AI INC. PTE. LTD.,"HENGDA BUILDING, 137 CECIL STREET 069537",Executive,Information Technology,7000,14000,,15 Jan 2019,0,0,0,1,"Solutions Strategist, Industry Solutions - Singapore Artificial Intelligence is poised to transform every sector of the economy. To win, organizations need to understand what AI means for their business and access the expertise needed to implement powerful AI solutions faster than their competitors. As one of the world’s leading applied AI companies, Element AI provides large enterprises with the strategic advice, tailored solutions, and deployment expertise required to capture the transformative potential of AI. As a rapidly growing company with teams in Montreal, Toronto, Singapore, London, and Seoul, we are excited to meet inquisitive top-performers with a demonstrated track-record of leadership and extraordinary achievement.   Industry Solutions at Element AI The Industry Solutions team at Element AI works with clients to discover and define the highest impact applications for AI for their business. We act as trusted advisors throughout clients’ journey: from defining an executive vision for AI, to building a long-term roadmap that identifies priority AI use cases and enablers, to articulating specific concepts for valuable, desirable, and feasible AI Solutions that Element AI’s technical teams deliver.   As a member of Industry Solutions you will have the opportunity to work with and learn from industry experts, world-class AI researchers, and experienced machine learning engineers and designers. We are a multidisciplinary group with alumni from technology firms, and top tier management, design, and innovation consultancies.","Roles and Responsibilities As a Strategist, you will be part of multi-disciplinary teams tasked with helping clients to define their AI vision and roadmap, and to implement AI Solutions. Your role focuses especially on helping clients understand the strategic fit and potential impact AI could have in their business. We expect candidates to have a rare combination of business and technical savvy, and a passion for AI. On a daily basis, you will:  Identify and analyze industry-level themes and business-level use cases for applying AI; Work with clients to understand their business processes, customer journeys, and value drivers; Assess the business impact and strategic fit of potential AI Solutions; Work with clients and technical teammates to identify organizational enablers (people, process, technology and data required for AI transformations; Support client development and proposal development efforts.  You want to join us because you are passionate about:  Understanding and staying ahead of the business implications of a fast-moving technology; Working closely with clients in a fast-paced environment with significant ambiguity; Helping facilitate workshops and meetings to engage, educate and empower clients to act; Synthesizing and articulating compelling “so-what” insights from user research and applied AI science; Contributing to the continued evolution of Element AI’s methodology and knowledge leadership; Working with our business and institutional partners to support the local AI ecosystem.  We want you to join us because you have:  Undergraduate degree in management, business, economics, or a related domain; At least 3-5 years of work experience excelling in a top-tier management consultancy, innovation consultancy and/or financial services industry experience; Experience with the entrepreneurial dynamics of a start-up – either in a work setting and/or through extracurricular activities; Excellent organizational skills with efficient time management and the ability to prioritize work effectively; Exceptional communication and presentation skills, with the ability to translate complex technical topics; Demonstrated interest in technology and AI.  We want you to join us because you are:  A self-starter with an ability to excel in a dynamic, ever-changing environment; An agile thinker who quickly understands new domains and identifies opportunities to apply and extend their knowledge; Comfortable navigating and creating clarity in ambiguous environments;; Able to engage and communicate effectively with managers and the front-line; Able to collaborate effectively with multidisciplinary teams that include researchers, engineers, and designers  What we offer for your valuable work:  Highly dynamic, innovative, passionate, entrepreneurial team; Open and inclusive company culture; Worldwide competitive salary; Participation in the company success through the Employee Stock Option Plan; Flexible hours (outside of core hours); Autonomous, self-managed Agile teams.  We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Top of Form"
143,cf50608e0f94da125e3d1b2bb55deb07,https://www.mycareersfuture.sg/job/lead-solutions-strategist-industry-solutions-element-ai-cf50608e0f94da125e3d1b2bb55deb07,"Lead Solutions Strategist, Industry Solutions",Permanent,ELEMENT AI INC. PTE. LTD.,"HENGDA BUILDING, 137 CECIL STREET 069537",Middle Management,Information Technology,14000,18000,Monthly,15 Jan 2019,0,0,0,1,"Lead Solution Strategist, Industry Solutions - Singapore Artificial Intelligence - software that can learn from data how to solve business problems - is poised to transform every sector of the economy. To win, organizations need to understand what AI means for their business and access the expertise needed to implement powerful AI solutions faster than their competitors. As one of the world’s leading applied AI companies, Element AI provides large enterprises with the strategic advice, tailored solutions, and deployment expertise required to capture the transformative potential of AI. Industry Solutions at Element AI The Industry Solutions team at Element AI works with clients to discover and define the highest impact applications for AI for their business. We act as trusted advisors throughout clients’ journey: from defining an executive vision for AI, to building a long-term roadmap that identifies priority AI use cases and enablers, to articulating specific concepts for valuable, desirable, and feasible AI applications that Element AI’s technical teams deliver. As a Lead Solutions Strategist you will have the opportunity to learn from and lead deep industry experts, world-class AI researchers, and experienced machine learning engineers and designers. We are a multidisciplinary group with alumni from top tier management, design, and innovation consultancies. Our group is part of an open and entrepreneurial organization where you will be expected to help define the principles, priorities, and trajectory of the most important technology in a generation. As a rapidly growing company with teams in Montreal, Toronto, Seoul, and Singapore, we are excited to meet top-performers with a demonstrated track-record of leadership and extraordinary achievement.  We expect candidates to have a rare combination of business and technical savvy, process management skills so deep they have become instincts, and a passion for AI. Roles and Responsibilities As a Lead Solutions Strategist, you will drive the end-to-end process for multi-disciplinary teams tasked with helping clients define their AI vision, roadmap, and concepts. You will be responsible for ensuring teams deliver distinctively insightful and actionable recommendations to clients, and for creating continuity across the phases of an AI transformation.  You will be a critical interface and a conduit for ideas between Industry Solutions and other groups within Element AI. On a daily basis, you will:  Lead execution of projects while guiding and developing team members; Take ownership of client deliverables to ensure they meet Element’s high standards; Synthesize across workstreams to identify and articulate the “story” of clients’ AI transformations; Build relationships with senior clients and ensure their priorities are reflected in Element’s work; Collaborate with Element’s Project Managers to manage clients during technical phases; Oversee client development and proposal development efforts; Drive thought leadership projects and other internal initiatives.   ","You want to join us because you are passionate about:  Driving enterprise-scale transformations; Being a trusted advisor to senior clients; Developing and empowering the people on your teams; Leading executive workshops and meetings; Overseeing the creation of end products that drive action; Driving the evolution of Element AI’s methodology and knowledge leadership; Building partnerships and initiatives that improve the AI ecosystem.  We want you to join us because you have:  Undergraduate degree or Master’s (preferred) in management, business, economics, or a related domain; At least 4-7 years of work experience excelling in a top-tier management consultancy, innovation consultancy or industry experience; Previous experience in financial services (especially the insurance space), retail or manufacturing is considered an asset; At least 2 years experience leading teams; Experience with the entrepreneurial dynamics of a start-up – either in a work setting and/or through extracurricular activities; Excellent organizational skills with efficient time management and the ability to prioritize work effectively; Exceptional communication and presentation skills, with the ability to translate complex technical topics; Demonstrated interest in technology and the role of AI.  We want you to join us because you are:  Able to seamlessly manage 3-5 person teams that mix business, technical, and creative members; A passionate coach who develops extraordinary junior teammates; An agile thinker who quickly understands new domains and identifies opportunities to apply and extend their knowledge; Comfortable navigating and creating clarity in ambiguous environments; Able to engage and communicate effectively with executives and the front-line; Able to collaborate effectively with multidisciplinary teams that include researchers, engineers, and designers.  What we offer for your valuable work:  Highly dynamic, innovative, passionate, entrepreneurial team; Open and inclusive company culture; Worldwide competitive salary; Multiple development paths; Participation in the company success through the Employee Stock Option Plan; Flexible hours (outside of core hours); Autonomous, self-managed Agile teams.  We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status."
144,da6ff054ba8acee46b7ce3e5adb96e44,https://www.mycareersfuture.sg/job/senior-deputy-director-deputy-director-strategy-policy-planning-health-promotion-board-da6ff054ba8acee46b7ce3e5adb96e44,"Senior Deputy Director  /  Deputy Director, Strategy, Policy & Planning",Full Time,Health Promotion Board,3 SECOND HOSPITAL AVENUE 168937,Middle Management,"Environment / Health  , Public / Civil Service",,,Monthly,15 Jan 2019,0,0,0,0,"The Tech-Enabled National Healthy Population (TeNHP) Division drives the design and implementation of the National Healthy Population project. This is an endorsed Smart Nation initiative (first in a citizen-fronting deployable application space) and will involve the creation of a nation-wide platform to collect, through smart devices such as wearables, real-time and personalized biometric and wellness data.  Such data, matched to clinical records, can create personalized applications, delivered through smart devices, that will help nudge our citizens to healthier behaviours; predict or even pre-empt medical situations like stroke, falls and heart attacks; and improve chronic disease management and coordination of care across health, social and consumer entities. The platform is an open public-private one with government playing the role of a neutral and trusted data-broker to multi-lateralise data-sharing for health innovation and service delivery. This project has the ambition to create a step-improvement in health promotion and chronic disease management, pioneering capabilities with tech giants to front global-first co-innovation. It will also allow for the real time tracking of the Singapore population's health behaviours, and potentially give Government a much more accurate read of how the population responds to policy changes and allow for personalised services delivered at national scale.  By providing a research platform for new medical interventions, it has the potential to accelerate the adoption of a whole range of clinical interventions.  The project will involve a range private sector players coming in to use Singapore as a test bed to trial new products and services in precision health and medicine.  Key technologies that are likely to be trialled in this project are health related wearable and sensor technology, big data analytics, machine learning, behavioural science, genomics and precision medicine. Summary Objective of Role   Assists the Coordinating Director to lead Strategy, Policy and Planning for National Healthy Population (NHP).  Supervisory responsibilities in a cross-disciplinary, multi-modal team. This includes direct staff supervision and training to build capabilities and continuity within project team, as well as management of outsourced vendors or joint collaboration/inter-agency working teams.  Responsibilities   Strategy. Strategise, plan and formulate the overall project vision, resourcing and implementation strategy (including workstreams, team structures, timelines and budgets), associated technology and data policy roadmap, and communications strategy for NHP;   Whole-of-Government coordination. Reach out, assess, prioritise and implement key partnerships with public healthcare and related social/human services sector players to participate on our platform. This includes rallying and coordinating action from MOH and WOG implementation agencies and stakeholders (e.g. other HPB programme and outreach teams, SportSG, IHIS, Regional Hospital Systems, social agencies, Govtech, SNPO, A*STAR, universities and research institutes), cutting through red tape to move quickly on and integrate Whole-of-Government efforts on all public health technology and related public service delivery efforts;   Strategic communications. Responsible for creating, managing and executing the overall strategic communications plan for the project, in alignment with MOH’s overall digital health and SNDG’s overarching Smart Nation communications plan.   Data governance. Responsible for conceptualising and operationalising the data governance framework to support the project, pulling together public and private sector personal data in a convenient, safe and secure manner to deliver personalised services while adhering to global-best industry and regulatory practices for data privacy.   Outcome management. Responsible to manage, assess and report on overall project progress, inter-dependencies of workstreams and key project risks as part of project management team. Anchor the scheduling of and secretariat support for key progress coordination and update meetings with senior management within HPB, IHIS, MOH and SNDG;     *Considering the innovation and agile nature of the project scope, this list of roles and responsibilities is not exhaustive and subject to change based on project and team needs.   Requirements   At least 15 years of working experience in public health/health promotion, epidemiology or related fields.   Public policy experience preferred.   Data governance experience preferred.   A relevant qualification in Social Sciences, Public Health, Business Administration or related disciplines.   Critical thinker that exhibits intellectual curiosity about health technology and innovation.   Exceptional interpersonal and communication skills with the ability to effectively & efficiently drive performance across internal and external matrix organizations.   Highly motivated with a demonstrated ability to prioritize and work effectively in a fast-paced, dynamic environment to drive execution independently.   Demonstrated ability to manage ambiguity and perform under pressure.   Human-centred design thinking and agile development experience preferred   Behavioural science analytics and insights experience preferred    ",None
145,45851a85a9bcb12bc27061b46427b168,https://www.mycareersfuture.sg/job/data-scientist-carousell-45851a85a9bcb12bc27061b46427b168,Data Scientist,Full Time,CAROUSELL PTE. LTD.,"KEPPEL TOWERS 2, 240 TANJONG PAGAR ROAD 088540",Executive,Engineering,8000,11000,Monthly,14 Jan 2019,0,0,0,0,"Love buying and selling on Carousell? Then meet the team that handcrafts various parts of the mobile applications, website and backend systems in order to deliver the best user experience.  Here at Carousell, our data & engineering teams work on a myriad of problem domains. You get to work with data generated by millions of buyers and sellers & converting them into actionable insights, for both our users and team. You will have the autonomy to lead and explore data science projects to solve key business problems, by working together with a core team of passionate data analysts, scientists and engineers.  Every month, we host a range of meetups and talks on different topics, ranging from product hackdays to a Swift workshop by the engineering team members!  Ensuring that the user experience stays simple is complicated - and we take pride in our work to keep things that way.  Key features within Carousell include: search, discovery, chat, inbox, selling experience, profile management, payments, review system and many more.     Responsibilities:  Run machine learning experiments on a large scale Create predictive models from our data to power exciting next-generation features Build, validate, test, and deploy machine learning models using proven and experimental techniques Work with engineering to implement predictive models in production environment Initiate high impact machine learning projects and with actionable outcomes Provide expertise on concepts for machine learning and applied analytics and inspire the adoption of machine learning across the breadth of our organization ","Requirements:  Proficient in programming and algorithms (e.g Python, C++, Java) Familiar with general ML methods and expert in one of the following fields: Natural Language Understanding, Computer Vision, Recommendation or other applied machine learning field  You Are:  A self-motivated and independent learner driven by your curiosity in what you may uncover Motivated to make an impact on the experience of our users Happy to learn from and share knowledge with team members  Good To Have:  Experience in building ML models at scale e.g. with distributed Tensorflow, using real-time big data pipelines on platforms such as Spark/MapReduce Proficiency in implementation of machine-learning algorithms (DNN, CNN) in support of: Computer vision and object recognition/identification, Natural language processing Please send us your Kaggle and/or Github profile if any! "
146,1d684548961b62ab0dae9c10233fa1fb,https://www.mycareersfuture.sg/job/data-scientist-carousell-1d684548961b62ab0dae9c10233fa1fb,Data Scientist,Full Time,CAROUSELL PTE. LTD.,"KEPPEL TOWERS 2, 240 TANJONG PAGAR ROAD 088540",Executive,Engineering,5000,8000,Monthly,14 Jan 2019,0,0,0,0," Love buying and selling on Carousell? Then meet the team that handcrafts various parts of the mobile applications, website and backend systems in order to deliver the best user experience.  Here at Carousell, our data & engineering teams work on a myriad of problem domains. You get to work with data generated by millions of buyers and sellers & converting them into actionable insights, for both our users and team. You will have the autonomy to lead and explore data science projects to solve key business problems, by working together with a core team of passionate data analysts, scientists and engineers.  Every month, we host a range of meetups and talks on different topics, ranging from product hackdays to a Swift workshop by the engineering team members!  Ensuring that the user experience stays simple is complicated - and we take pride in our work to keep things that way.  Key features within Carousell include: search, discovery, chat, inbox, selling experience, profile management, payments, review system and many more.     Responsibilities:  Run machine learning experiments on a large scale Create predictive models from our data to power exciting next-generation features Build, validate, test, and deploy machine learning models using proven and experimental techniques Work with engineering to implement predictive models in production environment Initiate high impact machine learning projects and with actionable outcomes Provide expertise on concepts for machine learning and applied analytics and inspire the adoption of machine learning across the breadth of our organization ","Requirements:  Proficient in programming and algorithms (e.g Python, C++, Java) Familiar with general ML methods and expert in one of the following fields: Natural Language Understanding, Computer Vision, Recommendation or other applied machine learning field  You Are:  A self-motivated and independent learner driven by your curiosity in what you may uncover Motivated to make an impact on the experience of our users Happy to learn from and share knowledge with team members  Good To Have:  Experience in building ML models at scale e.g. with distributed Tensorflow, using real-time big data pipelines on platforms such as Spark/MapReduce Proficiency in implementation of machine-learning algorithms (DNN, CNN) in support of: Computer vision and object recognition/identification, Natural language processing Please send us your Kaggle and/or Github profile if any! "
147,0cbe6b23692e37ae3cfae03adb5ab801,https://www.mycareersfuture.sg/job/director-business-information-systems-leap-0cbe6b23692e37ae3cfae03adb5ab801,Director of Business Information Systems,Permanent,LEAP (G) PTE. LTD.,"MILLENIA TOWER, 1 TEMASEK AVENUE 039192",Professional,Information Technology,12000,18000,Monthly,14 Jan 2019,0,0,0,1,"About You You are a highly motivated, bright, dynamic and adaptable technology leader who thrives in an innovative, performance-oriented environment. Continual learning is everything and you want to be a key contributor in a team full of diverse, experienced technology and business professionals. Deep down you have a passion for life, embrace change and thrive in a creative environment. You understand what motivates customers and team members alike and you find solutions to their problems that are economic, strategic and elegant. How would others that you have worked with describe you? Is this you? Joining the LEAP team gives you the opportunity to: work on a disruptive product that’s still in its very early stages, solving challenging problems that will revolutionize enterprise computing in the cloud. You’ll work for a hyper-growth company that is focused on creating the highest quality product in the market where your work has direct impact on customers every day. Job Purpose The LEAP Augmented Decision Platform (ADP) vision is to bring together a collection of cloud-based software and service products into an integrated offering with a unified experience. The platform requires architecting for growth and to ensure it can operate at high scale, resilience and performance. At the same time, it must be carefully positioned with our customers and able to evolve rapidly in response to their needs. As the Director of Business Information Systems, you will own the architecture, design, build and operation of line-of-business IT systems within LEAP. You will use your master-level knowledge of SaaS and COTS business applications to design and execute a business systems architecture that not only services the needs of each line of business but also provides them with new, innovative ways of working and provides a rich source of data for our machine learning algorithms. You will also be responsible for the delivery of IT workplace services and their integration with the business systems and ADP. This role will provide ample opportunities for growth and you must possess drive and ambition to extend your skills into new areas of customer focus that will evolve as part of your role and the growth of the business. You must ensure the company’s ability to deliver the proposed solutions and be able to demonstrate that your work delights our customers by delivering best-in-class Net Promoter Score (NPS) results. The role is critical to the success of LEAP and will initially be have a small number of reports but has the potential to grow (based on success) to a lead a larger multi-disciplinary team as we scale out. The role is primarily engineering- and delivery-focused, but it is expected that you will work within the STT ecosystem to assist in the evaluation and execution of the overall business strategy including the technology and enterprise architecture aspects of M&A and business integration. Key Responsibilities  Build and operate a world-class integrated business applications landscape and combine this with suite of flexible, empowering workplace services to deliver measurable business value. Own the architecture of the business information systems and translate this into executable designs. Deliver and integrate line-of-business IT systems to meet the needs of business owners Deliver and integrate an effective, easy-to-use IT workplace services environment Ensure that the operation of the business and workplace systems generates data to drive analytics and machine learning Collaborate with ADP development & enterprise data architecture owners to ensure successful delivery of the ADP Collaborate with functional owners across multiple lines of business to understand their business system requirements Build a highly effective application integration and operations team and a workplace services team, mixing on- and off-shore, in-house and contracted resource to deliver the highest quality results both quickly and cost-effectively Innovate to delight your stakeholders: better and faster development, unexpected results & measurable financial benefit Provide input to the LEAP company strategy and machine intelligence strategy ","Formal Education  Required: Bachelor’s degree in Computer Science or related field. Preferred: Post-graduate degree in Computer Science or related field. Preferred: One or more professional qualifications in systems and/or data architecture, software development or similar Preferred: Professional qualification in agile project management and/or agile development  Specialist Knowledge (work experience, further qualification)  Extensive experience of SaaS-based business application architecture and deployment, including team management and hands-on work. Preferably this experience will have been accumulated in an IT-centric company such as an IT service provider or web-native business. Relevant software categories are: Customer Relationship Management (CRM) Project and Programme Management (PPM) IT Service Management (ITSM) Customer Service and Customer Care (CSC) Human Resource Management (HRM) Finance and Accounting Office Productivity Software Extensive experience providing and operating a high-availability application platform that includes line-of-business and office productivity software Experience integrating multiple enterprise SaaS solutions, both with each other and with in-house developed software Experience developing solutions that use AI and ML to increase human effectiveness at defined tasks and outcomes Experience with the following XaaS platforms Microsoft Office 365, Salesforce.com Amazon Web Services, Microsoft Azure, Google Cloud Platform Experience deploying and operating SaaS-based office productivity software Building and managing local and offshore teams for development, delivery and operations Managing third party contractors and companies as part of an integrated software development and maintenance team Running agile projects Building and running DevOps environments Building and operating software systems to support IT project delivery and service operations Delivering measurable business results using business data analytics Developing high-availability software solutions Building and running a high performing environment that consistently achieves high ratings and results Worked in an entrepreneurial environment ideally with an agile and dynamic culture "
148,25ff0d75bff79efa09e09757f7244173,https://www.mycareersfuture.sg/job/ai-architect-solutions-lead-25ff0d75bff79efa09e09757f7244173,AI Architect-Solutions Lead,Full Time,Company Undisclosed,,Professional,Information Technology,7000,12000,Monthly,14 Jan 2019,0,0,0,0,"We are looking for AI Architect / Solutions Lead to join our organization. Candidate must be hands on in applying AI, data mining techniques, doing statistical analysis, machine learning algorithms and building high quality prediction systems integrated with products and processes.   Responsibilities  Automate scoring using machine learning techniques Build recommendation systems Improve and extend the features used by our existing classifier Develop internal A/B testing, multi arm bandits Build system for automated fraud detection Build complex production ready models on Deep Learning and DRL Participate in Kaggle competitions and achieve good results "," Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, RandomForests, DNN, DRL, GANs etc Experience with common data science toolkits, such as R, Weka, NumPy, Spark MLLIB, H2O.ai, TensorFlow, Keras, PaddlePaddle, Pytorch, OpenGym etc Understanding of emerging AI and big data platform such SageMaker, H2O, Kubeflow, Pachyderm, Kubernetes Etc will be an advantage Good scripting and programming skills in one or more language like R, Python etc. Proficiency in using query languages such as SQL, Hive, Pig Experience with NoSQL databases, such as MongoDB, Cassandra, HBase as well as graph databases such as Neo4j Experience in at least one foundational language such as C++ or Java Experience in text analyses and streaming analyses Experience in computer vision, speech and video Have worked on Deep Learning (CNN, RNN, GAN, DRLs) Understanding and experience in performance optimization related to algorithm implementations "
149,4dcc6fa533e2b8ad0c010ac9ec2ed848,https://www.mycareersfuture.sg/job/director-data-architecture-leap-4dcc6fa533e2b8ad0c010ac9ec2ed848,Director of Data Architecture,Permanent,LEAP (G) PTE. LTD.,"MILLENIA TOWER, 1 TEMASEK AVENUE 039192",Professional,Information Technology,12000,18000,Monthly,14 Jan 2019,0,0,0,1,"About You You are a highly motivated, bright, dynamic and adaptable technology leader who thrives in an innovative, performance-oriented environment. Continual learning is everything and you want to be a key contributor in a team full of diverse, experienced technology and business professionals. Deep down you have a passion for life, embrace change and thrive in a creative environment. You understand what motivates customers and team members alike and you find solutions to their problems that are economic, strategic and elegant. How would others that you have worked with describe you? Is this you? Joining the LEAP team gives you the opportunity to: work on a disruptive product that’s still in its very early stages, solving challenging problems that will revolutionize enterprise computing in the cloud. You’ll work for a hyper-growth company that is focused on creating the highest quality product in the market where your work has direct impact on customers every day. Job Purpose The LEAP Augmented Decision Platform (ADP) vision is to bring together a collection of cloud-based software and service products into an integrated offering with a unified experience. The platform requires architecting for growth and to ensure it can operate at high scale, resilience and performance. At the same time, it must be carefully positioned with our customers and able to evolve rapidly in response to their needs. As the Director of Data Architecture, you will own the information architecture and enterprise data taxonomy. You will use your master-level knowledge of information systems and enterprise architecture to ensure that LEAP collects rich, valuable data during every step of its business processes. You will work across multiple companies in the STT group to understand data architectures and maximise cross-domain analytics. Your primary goal is the creation of a data lake that is LEAP’s primary asset, driving predictive and prescriptive analytics and fuelling the development of our machine learning algorithms. Working with business leaders, data scientists, DevOps and IT services teams, you will ensure that LEAP is a truly data-driven company. This role will provide ample opportunities for growth and you must possess drive and ambition to extend your skills into new areas of customer focus that will evolve as part of your role and the growth of the business. You must ensure the company’s ability to deliver the proposed solutions and be able to demonstrate that your work delights our customers by delivering best-in-class Net Promoter Score (NPS) results. The role is critical to the success of LEAP and will initially be have a small number of reports but has the potential to grow (based on success) to a lead a larger multi-disciplinary team as we scale out. The role is primarily engineering- and delivery-focused, but it is expected that you will work within the STT ecosystem to assist in the evaluation and execution of the overall business strategy including the technology and enterprise architecture aspects of M&A and business integration. Key Responsibilities  Own the LEAP data architecture and drive a data-driven approach into every aspect of our daily operations Curate our data to maximise the opportunities for actionable insight, including driving changes in business process and application implementation to maximise data value. Deliver measurable business value by doing so. Create a cross-group data architecture and deliver a practical implementation that maximises insight with zero impact on the business operations of group companies Collaborate with ADP development and business application owners to ensure successful delivery of the ADP Collaborate with functional owners across multiple lines of business to understand their data insight requirements Build a highly effective data management team, mixing on- and off-shore, in-house and contracted resource to deliver the highest quality results both quickly and cost-effectively Innovate to delight your stakeholders: better and faster development, unexpected results & measurable financial benefit Provide input to the LEAP company strategy and machine intelligence strategy ","Formal Education  Required: Bachelor’s degree in Computer Science or related field. Preferred: Post-graduate degree in Computer Science or related field. Preferred: One or more professional qualifications in systems and/or data architecture, software development or similar Preferred: Professional qualification in agile project management and/or agile development  Specialist Knowledge (work experience, further qualification)  Extensive experience of data architecture and analytics, including team management and hands-on work. Preferably this experience will have been accumulated in an IT-centric company such as an IT service provider or web-native business. Relevant technologies are: Databases (SQL, NoSQL) Data Lakes Cloud-based SaaS/PaaS data storage services Data analytics applications and platforms Experience gathering and curating data from enterprise SaaS solutions and in-house developed software Experience developing solutions that use AI and ML to increase human effectiveness at defined tasks and outcomes Experience with the following XaaS platforms Microsoft Office 365, Salesforce.com Amazon Web Services, Microsoft Azure, Google Cloud Platform Building and managing local and offshore teams for development, delivery and operations Managing third party contractors and companies as part of an integrated software development and maintenance team Running agile projects Building and running DevOps environments Building and operating software systems to support IT project delivery and service operations Delivering measurable business results using business data analytics Developing high-availability software solutions Building and running a high performing environment that consistently achieves high ratings and results Worked in an entrepreneurial environment ideally with an agile and dynamic culture "
150,ccd205173a8f9b0d0fccf4682d66423d,https://www.mycareersfuture.sg/job/engineering-manager-transport-redmart-ccd205173a8f9b0d0fccf4682d66423d,Engineering Manager - Transport,"Permanent, Full Time",REDMART LIMITED,"SINGAPORE WINE VAULT BUILDING, 6 FISHERY PORT ROAD 619747",Manager,"Engineering, Information Technology",8000,12000,Monthly,14 Jan 2019,0,0,0,1,"About RedMart RedMart is Singapore's largest online grocery marketplace. We are a part of Alibaba-backed Lazada, Southeast Asia’s leading online shopping and selling platform. Our online marketplace offers over 100,000 grocery and household essentials items with the convenience of home delivery 7 days a week. Our mission is to save people time and money for the important things in life. We are a fast growing, tech-powered company with an awesome culture (see our culture deck). We have great tech teams in Singapore and Bangalore. We work on a wide range of areas: consumer-facing mobile and web applications, search, recommendations, e-commerce, marketing automation, CRM, marketplace seller platform, supply chain automation, warehouse fulfilment and automation, transportation logistics and last mile delivery. If you are interested in being part of the team that is transforming the grocery business, helping people save time and money daily, solving interesting challenges, and working with smart and passionate people, we want to hear from you. Role Purpose At RedMart we use technology to delight our customers; we innovate to make our customers’ lives better.   As Engineering Manager - Transport you will be responsible for leading a software team building transport intelligence systems at RedMart. This team is responsible for optimising delivery efficiency while maintaining a high rate of on-time delivery and offering a variety of delivery options to our customers. The team will be based in Singapore.    As an Engineering Manager you will: • Lead a team of software engineers and data scientists that has full ownership of key parts of RedMart’s Last Mile Delivery platforms, such as routing and location intelligence. • Conceptualize and implement transportation and telematics products, apps, algorithms and data analytics to provide a fast, reliable, convenient delivery experience at financially sustainable costs.  • Set the technical architecture for the team and take an active role in defining the product roadmap.  • Be responsible for driving impact by delivering on key initiatives as well as technical and business KPIs. You’ll be expected to make a significant impact on these through great technical judgment, business process understanding, close relationships with other technical leaders and your business counterparts, focused execution and frequent delivery. • Attract, develop and retain the best software engineers and data scientists. Help them innovate, make an impact, continually improve at their job and grow in their careers. • Champion engineering and operational excellence. Lead your team to design, implement, test and run in production robust, highly available automated routing solutions that our 24/7 store and operations can rely on.   • Lead and contribute to cross-functional initiatives to improve engineering at RedMart. • Collaborate with other engineering leaders, product managers, and business counterparts to deliver company-wide initiatives. • Foster a culture of continuous improvement through mentoring, feedback, and metrics.   What do we look for in a candidate? • Customer focus. Everything we do starts with our customers external and internal. • Impact. We are results oriented. We value people who focus on the right things and get them done. • Perseverance. Building a great company that customers love is hard work. Many challenges await and we are looking for team members we can count on when things get tough. • Ownership. We are looking for team members who are not only owners of their work but regard themselves as owners of the company as well. They are flexible in what they do and constantly seek out ways to have a greater impact on customers and our company.  • Breadth and depth of technology experience and strong technical and product judgment.  • Track record of building and leading great development teams through hiring and coaching.  • Track record of successfully delivering multi-stakeholder projects that marry technology, people, and processes.  • Machine Learning and Domain knowledge. Experience with building software for logistics, transportation or running Machine Learning and optimization systems in production is a must. • Excellent verbal and written communication skills.","We develop on a modern technology stack that focuses on enabling engineers to be productive and impactful. Engineers work in teams to determine their own release schedules; teams develop, release and operate their software independently. We are strong believers in automation: we use automation for continuous integration, testing, and delivery. Although we use Amazon Web Services, we use open source software where possible. We continuously add to and update our technology stack. • Microservices written in Java or Scala using Play Framework or Akka, and occasionally Python and NodeJS. • AngularJs for web apps. • Native apps use Objective C/Swift (iOS) and Java/Kotlin (Android), Fastlane, Calabash, Cocoapods/Gradle, JUnit, and occasionally hybrid React Native. • MongoDB, Cassandra, Hazelcast for storage. • RabbitMQ for messaging. • AWS infrastructure, with HAProxy, Nginx, Redis. Chef deployments. • GitHub, Travis CI and Trello, Slack for development tools. • Testing with JUnit, ScalaTest, FrisbyJS, Calabash and Selenium. • Kinesys, Spark and AWS Redshift for our data infrastructure. "
151,13d49bb95a504868c07dfb355c663dcd,https://www.mycareersfuture.sg/job/ai-engineer-youzu-13d49bb95a504868c07dfb355c663dcd,AI Engineer,Full Time,YOUZU (SINGAPORE) PTE. LTD.,"PAYA LEBAR SQUARE, 60 PAYA LEBAR ROAD 409051","Professional, Executive, Senior Executive",Information Technology,5000,7000,Monthly,14 Jan 2019,0,0,0,0,"Yoozoo Interactive is setting up a Center for Artificial Intelligence (AI) and Machine Learning (ML) in Singapore to develop cutting edge digital technologies in interactive multimedia. The Center is looking for passionate AI and ML Engineers who are keen to be part of the team spearheading the development and implementation of digital technologies in this new exciting era for areas such as gaming, healthcare, and marketing.   Specific duties of this role will include: 1.    Review and evaluate the relevance of state-of-the-arts in AI/ML against business requirements. 2.    Support business driven data analytics activities. 3.    Demonstrate expert level ability in the translation of AI/ML methodologies to solve real world issues. 4.    Demonstrate competency in developing robust, scalable, and efficient solutions using the latest advancements in AI/ML techniques. 5.    Develop novel and competitive solutions using AI/ML to fulfill ambitious research agenda. 6.    Develop rapid MVP leveraging on open source libraries and commercial off the shelf tools and platforms. 7.    Active participation in AI/ML Community of Practices.","Qualifications and Competencies: 1.    MSc/MEng with a minimum of 2-3 years work experience in developing challenging AI/ML solutions. 2.    Solid understanding and appreciation of AI/ML concepts and technologies. 3.    Practical working experience handling and analyzing large scale time-series, text, and images. 4.    Excellent coding, documentation, version control, and testing skills in multiple scientific programming platforms (R, Python, etc). 5.    Motivated and enthusiastic to take on new challenging technical problems. 6.    Willingness to learn new technical skills to develop technical competency."
152,c343191e1fb552647ea81ff5f915450d,https://www.mycareersfuture.sg/job/data-analyst-comtel-solutions-c343191e1fb552647ea81ff5f915450d,DATA ANALYST,Permanent,COMTEL SOLUTIONS PTE LTD,,Executive,Information Technology,7000,10499,Monthly,14 Jan 2019,0,0,0,1," Define hypotheses and identify the analysis trail for given business problems. Help create new solution approaches for innovative analytics scenarios. Develop proofs of concept and validate results. Implement small and large-scale projects in Advanced Analytics to help derive business insights for measurable success. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data' pipelines, data architectures and data sets. Knowledge of machine learning techniques and algorithms, such as K-NN, Naive Bayes, SVM, Decision Forests, etc. Expertise in design & development of API's, Web Services (REST, SOAP, etc ..) is needed   "," 8 – 10 years of development and delivery experience Experience with big data tools: Hadoop, Spark. Experience with object-oriented function scripting languages: Python, C++ Experience with statistical computer languages (Python, SQL, R) to manipulate data and draw insights from large data sets. Experience with common data science toolkits, such as NumPy, Pandas. R, etc.   "
153,82987455f4ee9d1b384da7bd6465ea4c,https://www.mycareersfuture.sg/job/data-scientist-activate-interactive-82987455f4ee9d1b384da7bd6465ea4c,Data Scientist,Full Time,ACTIVATE INTERACTIVE PTE LTD,"SINGAPORE POST CENTRE, 10 EUNOS ROAD 8 408600",Senior Executive,Information Technology,4000,6500,Monthly,14 Jan 2019,0,0,0,0,"Data Scientist (Data Science & Analytics)  Roles and responsibilities    Perform data science research and development in line with organization’s vision within digital health and wellness domain. Design and qualifying processes for data gathering, storage, processing, integration. Perform data research and analytics using deep machine learning to create accurate data and prediction model Refining data prediction model for demo, prototyping that leads to eventual productization. Take ownership and follow through the transfer of algorithm and prediction model to product and engineering team. Documentation of research, experiments, modelling and methodology.  Providing reports and presentations on results and findings. Identify opportunities and risks for the business through data science and analytics.    Requirements    "," 3 to 5 years in data research, data science or analytics. Bachelor or Master degree in Statistic, Mathematics, Biomedical Science, Computer Science or related discipline. Good working knowledge of R, SQL, MATLAB, Python, C/C++. Experiences in deploying prediction models to final products will be considered favourably. Keen interest in digital healthcare, wellness and fitness domain. A 'go with the flow' and positive attitude, adaptable to change and energetic. Have the ability to problem-solve and can be very resourceful. Passionate in learning and working with new technologies. A natural tenacity, resilency and determination.  Benefits: Flexi benefits that covers medical, gym, sports and wellness. If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you!"
154,30773057cec6241994d9a7397a59573b,https://www.mycareersfuture.sg/job/data-scientist-abakus-30773057cec6241994d9a7397a59573b,Data Scientist,Permanent,ABAKUS (ASIA PACIFIC) PTE. LTD.,,"Manager, Professional, Senior Executive","Banking and Finance, Information Technology",7000,13000,Monthly,13 Jan 2019,0,0,0,1,"To reinvent an industry, you need to build an all-star team. Join Wecash if you want to realise a world of better living through responsible credit, by developing and promoting products that provide businesses with comprehensive and accurate evaluation of consumer credit worthiness as well as underwrite loans between funding sources and consumers. Wecash leverage upon the power of mobile technology, big data and machine learning to prevent fraud and determine consumer credit worthiness. Wecash started in 2014 and has since raised more than US$200 million in financing, acquired over 100 million users and processed more than US$5 billion in loans in 2017 alone. Wecash is looking for a stellar technologist to drive our expansion in Southeast Asia. If you can understand complex technology, navigate the fintech industry and thrive under ambiguous objectives, join us as our Data Scientist for Southeast Asia, and help us grow. The Job:  Adept in the art of cleansing, manipulation, feature extraction and analysis on large data sets Seek out external data sources for relevant context and combine external data with existing data to improve our credit and risk models Stay on top of latest developments in big data, data mining, natural language processing, machine learning and artificial intelligence techniques and technologies, while interpreting their impact and usefulness to the financial industry Design and implement machine learning-based credit and risk models and systems that can scale to serve and benefit tens of millions of customers Design elegant data visualizations to present complex analysis and insights to both internal (management) and external (customers) audiences Develop subsystems that facilitate performance tracking, analysis and ongoing optimization of implemented credit and risk models "," A proactive and diligent technologist willing to get your hands dirty with the details while possessing an innate sensitivity to data and an appreciation of proper documentation Demonstrate understanding and expertise in commonly used machine learning algorithms, feature selection techniques and data modeling processes Familiar with commonly used data mining algorithms (i.e. classification, clustering, regression, association rules, neural networks, etc.) and its principles, and is able to discuss past project experiences at length Accomplished in R, Python, SQL and other comparable programming languages Adept at choosing between Hadoop, Storm, Spark and other comparable big data technologies depending on the context, and is able to discuss past project experiences in large-scale data and log processing Master’s degree or higher, with at least a bachelor’s in Statistics, Applied Mathematics, Computer Science or other related disciplines Speak, read and write English perfectly and skillfully Ready, willing and eager for the occasional travel between Singapore, China and Indonesia "
155,ec80cf4678d1bf50b66a251f06283161,https://www.mycareersfuture.sg/job/data-engineer-abakus-ec80cf4678d1bf50b66a251f06283161,Data Engineer,Permanent,ABAKUS (ASIA PACIFIC) PTE. LTD.,,Executive,Information Technology,5500,7000,Monthly,13 Jan 2019,0,0,0,1,"To reinvent an industry, you need to build an all-star team. Join Wecash if you want to realise a world of better living through responsible credit, by developing and promoting products that provide businesses with comprehensive and accurate evaluation of consumer credit worthiness as well as underwrite loans between funding sources and consumers. Wecash leverage upon the power of mobile technology, big data and machine learning to prevent fraud and determine consumer credit worthiness. Wecash started in 2014 and has since raised more than US$200 million in financing, acquired over 100 million users and processed more than US$5 billion in loans in 2017 alone. Wecash is creating a platform for financial products for the financially underserved utilizing artificial intelligence, big data and mobile technology. At Wecash, we move really quickly, get stuff done, and are constantly iterating. We are looking for a data engineer to support our expansion in Southeast Asia who will collaborate with the Data Science team to streamline our data products for analytics, operation and research. The candidate should be proactive and willing to keep-up with cutting-edge technologies. Responsibilities:  Develop, deploy and maintain machine learning models Design simulation and testing frameworks for model validation Identify, collect and organize new data sources Research on new technologies for efficient data management   "," Degree in Computer Science/Mathematics/Statistics/Physics, or related fields Proficiency in Python, SQL and Linux shell with minimum 1 year of hands-on experience Experience in statistical modelling Knowledge in Web Frameworks and RESTful APIs Knowledge in Version Control and Continuous Integration tools Willing to learn, innovative, good communication skills and team player  Bonus Skills  Working experience in NoSQL Working experience in Machine learning Ability to communicate in Mandarin or Bahasa Indonesia or other Asian language to communicate with counterparts in China, Indonesia and other APAC offices. "
156,a781d0fe818de6c6f93707a2c2255137,https://www.mycareersfuture.sg/job/data-analyst-abakus-a781d0fe818de6c6f93707a2c2255137,Data Analyst,Permanent,ABAKUS (ASIA PACIFIC) PTE. LTD.,,"Executive, Junior Executive",Information Technology,4000,5500,Annually,13 Jan 2019,0,0,0,1,"To reinvent an industry, you need to build an all-star team. Join Wecash if you want to realise a world of better living through responsible credit, by developing and promoting products that provide businesses with comprehensive and accurate evaluation of consumer credit worthiness as well as underwrite loans between funding sources and consumers. Wecash leverage upon the power of mobile technology, big data and machine learning to prevent fraud and determine consumer credit worthiness. Wecash started in 2014 and has since raised more than US$200 million in financing, acquired over 100 million users and processed more than US$5 billion in loans in 2017 alone. Wecash is creating a platform for financial products for the financially underserved utilizing artificial intelligence, big data and mobile technology. At Wecash, we move quickly, get stuff done, and are constantly iterating. Our innovative data science team of Wecash is looking for team mates who is keen on data analytics to join them in evaluating personal credit and detect financial fraud behaviours. You enjoy working on large data sets in a team with R&D culture. You are a self-starter and motivated to work within a team solving real-world problems and delivering the results. Responsibilities  Find model issues and propose method to improvement of model from evidence Interpret data, analyze results using statistical techniques and provide ongoing reports Develop case study and conduct experiments to identify, analyze, and interpret trends or patterns in complex data sets Process & visualize data and build features of the model Develop model to detect data outlier Identify and incorporate new data source that can benefit our business.   "," Demonstrated project experience in data science. Some knowledge of common data analytical models. Ability to interpret data and demonstrates the result to the team with critical thinking. Good programming skills in Python and database query. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Adept at queries, report writing and presenting findings Undergraduate or Master’s in Computer Science, Engineering, Statistics, Mathematics or Quantitative Finance. Willing to learn, innovative, good communication skills and team player  Bonus skills  Ability to communicate in Mandarin or Bahasa Indonesia or other Asian language to communicate with counterparts in China, Indonesia and other APAC offices. Relevant working experience in the financial industry. "
157,d6bd2fbf5b45e2974f982117c99a8338,https://www.mycareersfuture.sg/job/machine-learning-engineer-haulio-d6bd2fbf5b45e2974f982117c99a8338,Machine Learning Engineer,Full Time,HAULIO PTE. LTD.,3 HARBOUR DRIVE 117404,Executive,Information Technology,3000,6000,Monthly,12 Jan 2019,0,0,0,0,"Responsibilities:  Create, research and utilise machine learning to aid the businesses automation and predictive goals Act as a ML subject matter expert within the Product Team Write high-quality, clean, maintainable code Be an engaged team member involved in every part of the software life cycle Communicate with product team during analysis and development phase Collaborate with team members on design and implementation ","Requirements:   Experience in C# and SQL fundamentals Has used machine learning in a professional capacity, especially in solving scheduling related problems Good knowledge of Python or knowledge of Machine learning frameworks, such as (Tensorflow, MXNet, Caffe2, CNTK or PyTorch) Experience with databases and design of schemas/tables. Experience with data processing technologies (e.g. Hadoop, Spark, etc.) Passion for improving coding and development practices Keen interest in new technologies and their timely adoption    Desired skills and experience:  Microsoft Azure: Azure Machine Learning, SQL Database, IoT Hub Databases: MS SQL Server, NoSQL (CosmosDB) "
158,73117b80ab5ca2a8196917e8cd955297,https://www.mycareersfuture.sg/job/specialist-solution-architect-machine-learning-amazon-web-services-singapore-73117b80ab5ca2a8196917e8cd955297,Specialist Solution Architect - Machine Learning,Permanent,AMAZON WEB SERVICES SINGAPORE PRIVATE LIMITED,"AIA TOWER, 1 ROBINSON ROAD 048542",Professional,Information Technology,130000,250000,Monthly,11 Jan 2019,0,0,0,1,"Are you passionate about Machine Learning (ML), Deep Learning and Artificial Intelligence (AI)? Are you excited by the challenge of driving production usage of ML and AI? Come join us! ML and AI are rapidly growing in importance. We’re seeing more and more amazing AI work being done from home automation and mobile apps to financial trading and shipping logistics. Given the scale required for developing AI models, the cloud is an ideal place to deploy AI models, and Amazon Web Services (AWS) is the leader in the deployment of AI. We’re looking for someone passionate and deeply excited about this space. Someone who is devoted to helping customers understand how AI can make a big difference to their businesses. As a Machine Learning Specialist Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing machine learning solutions that leverage AWS services to automate solutions and drive down costs for customers. Part of the Data and Analytics Specialist Solutions Architecture team, you will work closely with the other Specialist SAs on Big Data, Databases and Analytics, as well as the Business Development teams, to enable large-scale customer use cases and drive the adoption of AWS for ML/AI platforms. You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and 3rd parties to fully leverage ML/AI on AWS. You will also create field enablement materials for the broader SA population, to help them understand how to integrate AWS ML solutions into customer architectures. You must have deep technical experience working with technologies related to artificial intelligence, machine learning and/or deep learning. A strong mathematics and statistics background is preferred, in addition to experience building complex classification models. You will be familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help AWS customers in their selection process. Candidates must have great communication skills and be very technical, with the ability to impress AWS customers at any level, from executive to developer. Previous experience with AWS is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and AWS service teams, influencing their roadmaps and driving innovation.  If you are someone who enjoys innovating, likes solving hard problems and working on the cutting edge of technology, we would love to have you on the team. Responsibilities:    Build and maintain technical trusted advisor relationships with influential technical decision makers for the successful adoption and deployment of AWS services and technologies  Architect solutions leveraging AWS machine learning and AI specific services, working with our customers to deeply understand their business needs and to design a technical solution that takes best advantage of the AWS Cloud platform and Machine Learning Services.  Thought Leadership – Craft & develop compelling audience-specific messages and tools (product videos, customer success stories, demos, whitepapers, presentations, how to guides etc.) Present AWS services and technologies through forums such as AWS Blogs, Whitepapers, Reference architectures and Public-Speaking events such as AWS Summit and User-Group events. Capture and share best practices and insights internally and with partners and customers.  Develop and support an AWS internal community of AI related Subject Matter Experts  Collaborate with AWS business development, professional services, training and support teams to help partners and customers learn and effectively use AWS services.  Serve as a key member of the business development and account management team helping to ensure customer success on the AWS platform. Act as a technical liaison between customers, service engineering teams and support. Provide updates on customer progress and ensure plan execution by partners. ","Basic qualifications   Deep experience in design/implementation/consulting experience of Machine Learning/AI/Deep Learning solutions Strong understanding and experience in the field of AI and related technologies, including deep learning and overall machine learning concepts. Deep experience developing AI models in real-world environments. Strong understanding of machine learning algorithms such as clustering and classification algorithms and especially neural networks (CNN, RNN etc.). Having worked with both structured and unstructured data in the past to gain effective insights. Significant experience creating, testing and deploying ML models. Significant experience developing AI solutions and passion for getting hands dirty with code e.g. familiar using DL Platforms/Tools like MXNet, Caffe, Caffe2, Theano, TensorFlow Solid grounding in statistics, probability theory, data modeling, machine learning algorithms and software development techniques and languages used to implement analytics solutions 5+ years professional experience in software development in languages related to ML like Python or R. Experience working with RESTful API and general service oriented architectures. Experience using and adapting to new technologies Deep experience with data modeling and analytics solution stacks Strong technical architecture, design, deployment and operational level knowledge of AI platforms, standards, protocols and devices Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams. Ability to influence and build mindshare convincingly with any audience, including the ability to create compelling demonstration of AI solutions. Confident and experienced in public speaking to large audiences.  Preferred qualifications   5 or more years in consultative technical sales or professional services with a proven track record of success. Ability to gain credibility and build relationships with all levels in an organization, from technical experts to senior executives. 3+ years hands-on experience working with AWS or other cloud/virtualization platforms 3+ years working with enterprise customers Experience communicating effectively across internal and external organizations, for complex mission-critical solutions Experience with predictive analytics, semi- and unstructured data  Experience deploying production-grade machine learning solutions on public cloud platforms Advanced degree in computer science, engineering or mathematics Hands-on experience with data manipulation, data analytics and data visualization tools (e.g. Hadoop, Spark, Presto, Hive, Kibana, R, RStudio) PhD or Advanced Degree in data science or machine learning space Continuous interest in the academic development around neural networks and machine learning general. A perfect candidate would be an active influencer and contributor in this space. Experience with AWS services related to AI/ML highly desirable, particularly Amazon EMR, AWS Lambda, Amazon Machine Learning, Amazon Athena, Amazon Redshift, AWS IoT, Amazon DynamoDB etc. "
159,e35c4108dcd765727c63d1709d4b59fe,https://www.mycareersfuture.sg/job/research-fellow-nanyang-technological-university-e35c4108dcd765727c63d1709d4b59fe,Research Fellow,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798","Professional, Executive",Engineering,4400,5200,Monthly,11 Jan 2019,1,0,0,0,"School of Materials Science and Engineering   Specialisation : Computational Material Science, Machine Learning   The Li’s group is seeking for a highly motivated research fellow to conduct research on assembly of nanoparticles in condensed phases using theoretical and computational tools. Currently, the work is focusing on polyhedral nanoparticles at water/ oil interfaces, such as tetrahedrons, cubes, and octahedrons. The successful candidate will be involved in the modelling and simulation of assembly of polyhedrons, which include but not limited to:  To simulate the orientation of single nanoparticles at oil/water interfaces To explore the detailed interactions between nanoparticles through machine learning To investigate the assembly of nanoparticles at oil/water interfaces To predict the properties of nanoparticle superstructures "," PhD degree in materials science or chemistry. At least 4 years’ experience in operating computational softwares, such as GROMACS, Gaussian et al., is preferred; experience in modelling orientation of nanoparticles at interfaces will be a competitive advantage Strong background in the assembly of polyhedrons  Strong background in computational chemistry and molecular dynamics simulations Participate in collaborative projects and work in teams "
160,d26dc1e1fc80fe7249dd35be5ef90920,https://www.mycareersfuture.sg/job/data-science-lead-consultant-cpm-consulting-d26dc1e1fc80fe7249dd35be5ef90920,Data Science Lead Consultant,Permanent,CPM CONSULTING PTE. LTD.,78 SHENTON WAY 079120,Professional,Information Technology,7000,9000,Monthly,11 Jan 2019,0,0,0,1,"Primary Responsibilities:  Understand large data sets, build data models to address business problems Undertake data collection, pre-processing and analysis Build predictive models and machine learning algorithms  The role will involve analysis and extensive data crunching with good amount of hands on programming skills. This role requires following skills and experience:  Proven experience (5+Years) as a Data Scientist or Data Analyst Good knowledge on cloud technologies especially Microsoft Azure. Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills    Candidate should possess good soft skills as mentioned below:  Should possess excellent problem solving and is able to work effectively in a less structured environment and manage time. Excellent verbal and written communication skills Work closely with onsite and offshore team members Willing to travel to the customers locations on need basis outside of Singapore ","Qualification:  Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred "
161,c62de4544d46e3e385930e108b6643c1,https://www.mycareersfuture.sg/job/intern-ds-tookitaki-holding-c62de4544d46e3e385930e108b6643c1,Intern - DS,Internship,TOOKITAKI HOLDING PTE. LTD.,"HIGH STREET CENTRE, 1 NORTH BRIDGE ROAD 179094",Fresh/entry level,Information Technology,1000,1500,Monthly,11 Jan 2019,0,1,0,0,"About Tookitaki Tookitaki is providing machine learning-powered enterprise solutions to address regulatory compliance problems in the financial services sector. Incorporated in November 2014 in Singapore, the company is led by a core team with cumulative 30-years’ experience in finance, AI and big data analytics. Backed by institutional investors such as Jungle Ventures and Spring Seeds (a subsidiary of the Singapore Government), the company’s accolades include:  We are among the selected 21 companies which got accreditation from the government of Singapore for their stringent technology, finance and operations due diligence (www.imda.gov.sg/industry-development/programmes-and-grants/startups/accreditation-at-sgd) We won the first place in the MAS FinTech Awards (Singapore SME) in the regulatory compliance space from the Monetary Authority of Singapore for our approach to make the workflows in AML and Reconciliation scalable and highly auditable (beyond ML based black box approach) (www.mas.gov.sg/News-and-Publications/Media-Releases/2016/Ten-FinTech-companies-recognised-for-innovative-solutions-at-inaugural-FinTech-Awards.aspx) We are voted as one of the top 21 AI start-ups focusing on the financial services space by medici (www.letstalkpayments.com/medici-top-21-ai-companies/) We graduated from Nomura's corporate innovation program in November 2017 where we successfully delivered our product – Reconciliation Management Suite – in a pilot environment (https://inc42.com/buzz/nomura-voyager-fintech-accelerator-voyager-demo-day/)  In regulatory compliance, we focus on anti-money laundering and reconciliation and our products – Alerts Management Suite (AMS) and Reconciliation Management Suite (RMS) – cater to these areas, respectively. The mission or goal is to achieve 40% operational efficiency with significant savings in infrastructure and operational costs. Tookitaki's unique selling proposition (USP) is in our approach where we combine our proprietary modelling technique with our complete auditable framework to make the process dynamic and highly explainable (moving out of the black box approach). Moreover, our flexible on-premise and cloud-packaging capabilities, along with the option of easy integration to exiting core-banking applications (REST API end points), make the solution deployment faster with lesser barrier to entry. Today, regulatory compliance processes have become more complex and fluidic, increasing the chances for rule-based models to fail. Banks need to move beyond static rule-based systems and adopt a new approach to prevent financial and reputation loss. Tookitaki bridges the gap with its innovative software products – AMS, RMS and PMS. Role: Data Science Intern The data science team is responsible for solving business problems on complex data. Data complexity could be characterized in terms of volume, dimensionality and multiple touchpoints/sources. We understand the data, ask fundamental-first-principle questions and apply our analytical and machine learning skills to solve the problem in the best way possible. The problems that we tackle are focused on our 2 products/IP related to anti-money laundering (AML) and financial exception management. In addition, the team plays a pivotal role in shaping company IP, primarily in area of approach, model selection, model tuning and feature engineering, so that engineering can take this up and automate the same via a pipeline.  ","Our Ideal Candidate Our Data Science team is looking for a Data Science Intern, who will:  Mine and analyze data from company databases to drive improvement of product development Develop custom data models and algorithms to apply to data sets Develop techniques to make ML algorithms interpretable Coordinate with different functional teams to implement models and monitor outcomes Develop processes to monitor and analyze model performance  Desired technical Requirements  Strong problem-solving skills with an emphasis on product development Experience using statistical computer languages (R, Python) to manipulate data and draw insights from large data sets Experience using pyspark to make use of distributed computing would be a plus Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications Excellent written and verbal communication skills for coordinating across teams A drive to learn and master new technologies and techniques  Desired Non-technical Requirements  Very strong communication skills both written and verbal Strong desire to work with start-ups Must be a team player   "
162,16af812ba6787a9ec9a080fd80690350,https://www.mycareersfuture.sg/job/implementation-engineer-tookitaki-holding-16af812ba6787a9ec9a080fd80690350,Implementation Engineer,Full Time,TOOKITAKI HOLDING PTE. LTD.,"HIGH STREET CENTRE, 1 NORTH BRIDGE ROAD 179094","Professional, Executive",Information Technology,7000,9000,Monthly,11 Jan 2019,0,0,0,0,"About Tookitaki Tookitaki is providing enterprise software solutions that create sustainable compliance programs. We are innovating the USD 100 billion regulatory compliance space by moving beyond rules based applications and introducing software solutions to maximize efficiency and reduce risks in these processes. Our mission is to provide machine learning powered regulatory compliance solutions that are audible scalable and actionable. Incorporated in Nov 2014 in Singapore, the company is led by a core team with cumulative 30-years’ experience in finance and machine learning. We are backed by institutional investors - Jungle Ventures, Spring Seeds (Singapore Government) and have raised USD $4.2 mil as part of Series A financing. In regulatory compliance, we currently focus on 2 areas - anti-money laundering and reconciliation. Our two products Alerts Management Suite (AMS) and Reconciliation Management Suite (RMS) cater to alerts management for anti-money laundering and exception management for reconciliation. Tookitaki’s accolades include:  First Place at the Inaugural Monetary Authority of Singapore (MAS) FinTech Awards in 2016 for Most Innovative Companies in the Regulatory Compliance Space. Top 7 AI Companies in APAC / Top 21 AI Companies in the World (2017) by Medici for Leading Companies Applying AI to Build Next-Gen Financial Services Solutions. 1 of Only 4 Companies to Achieve Accreditation@SGD from Singapore’s Infocomm Media Development Authority (IMDA) in the Compliance Tech category within Data Analytics / Artificial Intelligence (2017). The Hottest Fintech Companies in Singapore in 2017 (FinTech News Singapore) 1 of Only 8 Graduates from FinLab (2017), An Innovation Accelerator Joint Venture Between United Overseas Bank (UOB) and SGInnovate. 1 of Only 8 Graduates from Nomura’s FinTech Accelerator Program (2017). E27’s Top Startups in the Singapore AI Scene (2017). 1 of Only 8 Startups Selected by Societe Generale’s Accelerator Program (2016).  DevOps Engineer            We are looking for a Devops engineer to join the engineering team and help us deliver the big data enterprise stack to our clients. The candidate is expected to own the build creation, packaging, deployment and setup at client site, and providing the necessary support. The candidates are expected to be at the client’s place for end to end delivery of the project."," 2 to 3 years of DevOps experience managing the big data application stack including HDFS, YARN, Spark, Hive and Hbase. Deeper understanding of all the configurations required for installing and maintaining the infrastructure in the long run. Experience setting up high availability, configuring resource allocation, setting up capacity schedulers and configuring data level ACLs using Ranger, Sentry etc. Experience working with and supporting middle layer technologies including web servers (httpd, ningx), application servers (Jboss, Tomcat) and database systems (postgres, mysql). Experience setting up enterprise security solution including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc. Experience supporting on-premise solutions as well as on cloud - AWS and Azure. Experience working with containerized infrastructure and orchestration. Experience with one or more automation tools - like Ansible, Teraform etc. Experience working with CI / CD tools like Jenkins and various test report and coverage plugins. Experience working with and supporting Java and Python based tech stacks would be a plus. Strong communication and interpersonal skills.  Job Perks  An uncapped variable compensation package with unlimited upside! Laptop of your choice (Mac or Windows). Flexible working hours - everything is results-oriented. Work at an award-winning organization in the hottest space in tech - artificial intelligence and advanced machine learning.     "
163,5b81c5b87d7da3e6b5645b32488f435a,https://www.mycareersfuture.sg/job/product-manager-tookitaki-holding-5b81c5b87d7da3e6b5645b32488f435a,Product Manager,Full Time,TOOKITAKI HOLDING PTE. LTD.,"HIGH STREET CENTRE, 1 NORTH BRIDGE ROAD 179094",Middle Management,Information Technology,10000,12000,Monthly,11 Jan 2019,0,0,0,0,"About Tookitaki Tookitaki Holdings is providing enterprise software solutions that create sustainable compliance programs. We are innovating the USD 100-billion regulatory compliance space by moving beyond rules-based applications and introducing software solutions to maximize efficiency and reduce risks in these processes. Our mission is to provide machine learning-powered regulatory compliance solutions that are auditable, scalable and actionable. Incorporated in Nov 2014 in Singapore, the company is led by a core team with cumulative 30-years’ experience in finance, Machine Learning and Big Data Analytics. We are backed by institutional investors – Jungle Ventures and Spring Seeds (Singapore Government) – and have raised USD $4.2 million as part of Series A financing. In regulatory compliance, we currently focus on two areas: anti-money laundering and reconciliation. Our products Alerts Management Suite (AMS) and Reconciliation Management Suite (RMS) cater to alerts management for anti-money laundering and exception management for reconciliation. Tookitaki’s accolades include:  First Place at the Inaugural Monetary Authority of Singapore (MAS) FinTech Awards in 2016 for Most Innovative Companies in the Regulatory Compliance Space. Top 7 AI Companies in APAC / Top 21 AI Companies in the World (2017) by Medici for Leading Companies Applying AI to Build Next-Gen Financial Services Solutions. 1 of Only 4 Companies to Achieve Accreditation@SGD from Singapore’s Infocomm Media Development Authority (IMDA) in the Compliance Tech category within Data Analytics / Artificial Intelligence (2017). The Hottest Fintech Companies in Singapore in 2017 (FinTech News Singapore) 1 of Only 8 Graduates from FinLab (2017), An Innovation Accelerator Joint Venture Between United Overseas Bank (UOB) and SGInnovate. 1 of Only 8 Graduates from Nomura’s FinTech Accelerator Program (2017). E27’s Top Startups in the Singapore AI Scene (2017). 1 of Only 8 Startups Selected by Societe Generale’s Accelerator Program (2016).  Roles & Responsibilities Defining, communicating and owning the product plan from conception to launch Analyzing the results of a launch and creating plans to iterate and build new features Ruthlessly prioritizing features based on business impact and available resources Proactively filling communication gaps among all team members – Good communication solves half the problem Nurturing and inspiring top-performing team members even without direct authority Contributing to technical conversations around engineering solutions in pace with deadlines Driving product research priorities for strategically important projects  ","REQUIREMENTS: Bachelor’s degree (preferably in either computer science or a quantitative domain (math/stats) and MBA 4+ years of relevant Product Management experience, handling B2C or B2B solutions 7+ years of overall experience (Software engineering experience prior to product management is preferred) Must have ample experience in the ML/ Data Science space Experience in communicating technical concepts to a non-technical audience Technical expertise and the ability to understand, question and challenge software implementation decisions and priorities Passionate to learn more about the industry and ability to adapt to a dynamic research and development environment A bold, optimistic and result-oriented personality: We are coming to work every day challenging the status quo, and we’re looking for people who are comfortable asking bold, quirky questions, along with the mental resilience to know we’re just at the start of a long journey Track record of successfully launching software products from 0 to 1 on a large scale Comfortable rolling up the sleeves and working across functions Comfortable working in a rapidly changing environment where ambiguity and short turnaround schedules are the norm Experience with products in ML/Big Data/Fintech"
164,2a1b08461a91ece6c777b583c025969f,https://www.mycareersfuture.sg/job/devops-engineer-dathena-science-2a1b08461a91ece6c777b583c025969f,DevOps Engineer,Full Time,DATHENA SCIENCE PTE. LTD.,"ONE GEORGE STREET, 1 GEORGE STREET 049145","Fresh/entry level, Non-executive",Engineering,3000,6000,Annually,11 Jan 2019,0,0,0,0,"Job Title:  DevOps Engineer Reports to:  Big Data & Infrastructure Manager   About Dathena Science   Dathena is a Swiss and Singaporean company developing data governance software based on machine learning algorithms. Dathena is the most complete and accurate data governance platform and is the only solution to easily classify and manage data with this level of accuracy while helping companies to comply with regulations. Using cutting edge machine learning technology, Dathena sift through all unstructured data allowing to regain full control on company’s information. Job Purpose:  The DevOps engineer will handle Dathena's infrastructure by managing and automating machines maintenance and Dathena's appliances configuration. We will require to maintain a good global health of systems, keeping machines up to date and handling user accounts. ","Responsibilities:   Beyond the system administration, we expect the DevOps engineer to contribute to Dathena's software quality, working tightly with developers. The main objective here is to provide an environment which is ready to use for coding, testing and, in a more general way, working.  Skills and Qualifications:  System administration Knows how to manage Linux (CentOS, Debian, Ubuntu, …) Automation (Ansible, Puppet, Chef, …) Version control (Git, SVN, …) Network management (IP addresses, routes, …) Infrastructure monitoring (Nagios, Icinga, Shinken, …) Virtualization (vSphere, OpenStack, OpenNebula, Eucalyptus, KVM, Qemu, …) Continuous integration (Bamboo, Jenkins, …) Docker Create a container for a project Manage Docker containers Global development skills Low level scripting (Shell) High level scripting (Python, Perl, Ruby, …) Compiled languages knowledge is a plus (Java, Scala, C#, C++) Interest in security  Soft Skills:  Fluent in English Good Oral and Written Communication Skills Time management Interpersonal Skills Critical Thinking Presentation Skills Proactive and interested in network and security news, the candidate should be able to implement good security practices. New tools are available every day, some of them could improve our overall environment. The DevOps engineer has to be lazy in a smart way: everything should be automated with as little human interaction as possible.  Working conditions The DevOps Engineer must fully embrace the team spirit of a young and innovative Start-up. They must be able to adapt to a multi-cultural environment. Travel and remote location might be required.   Location: Singapore R&D Office     Direct reports   None – Subject to change following the company growth and development.        "
165,f0c24eea9c60a34bd7aa214995d1ffb3,https://www.mycareersfuture.sg/job/devops-engineer-tookitaki-holding-f0c24eea9c60a34bd7aa214995d1ffb3,DevOps Engineer,Full Time,TOOKITAKI HOLDING PTE. LTD.,"HIGH STREET CENTRE, 1 NORTH BRIDGE ROAD 179094",Professional,Engineering,7500,12000,Monthly,11 Jan 2019,0,0,0,0,"About Tookitaki We are a machine learning powered advanced forecasting platform, focussed on compliance and operational risk management space. Our primary clients are banks, financial institutions and insurance companies. We are bringing a paradigm shift in the approach of risk forecasting, by helping BFSI sector move from static rules engine to dynamically adaptive platform. The key highlights are - ability to choose from multiple non-linear models, improve model performance over time through self-learning technique and deploy models in production faster via pre-packaged distributed environment. Engineering @ Tookitaki The engineering team is responsible for building a robust forecasting platform, which can add significant value to BFSI vertical in solving operational and compliance risk problems. We take pride in building the system right and continuously evolving it. You have freedom to choose the right tools for the task. We also encourage to participate in and contribute to open source community. Our ideal candidate Our engineering team is looking for a DevOps Engineer, who has 3-6 years of work experience in similar field and possess good communication skill. He would be responsible for -   Understand and master the internal architecture of our product.   Building a solid understanding of customer’s existing IT architecture.   Proposing an integration plan to integrate our product with their architecture.   Help our clients set up the required product infrastructure with dependencies.   Work with product development team to acquire required troubleshooting skills.   Help our clients streamline the process to monitoring and maintenance.   To be the GO TO person for anything related to client specific engineering.   Desired technical requirements   Prior work experience in Dev-Ops field is required.   Experience working on linux environment with bash and python scripting.   Experience with installing, configuring and managing the big data architecture (Hadoop, Spark, Hive, HBase etc) and understanding of how these components work together.   Working experience on running and maintaining docker based environment.   Experience with managing and maintaining multiple databases - MySQL, Postgres.   Experience working with any in-memory key value store - Redis, Memcache.   Experience setting up and maintaining different web servers and application containers.   Experience with various configuration management tools - Ansible, Chef, Puppet.   Experience installing security patches and hardening the overall infrastructure.   Experience with automating the infrastructure setup and maintenance tasks.   Good understanding of systems and networking.   Desired educational qualification Candidate need to posses a Bachelors degree in field of computer science and/or information systems.  ","Our engineering team is looking for a DevOps Engineer, who has 3-6 years of work experience in similar field and possess good communication skill. Experience in- Bigdata, HDFS, Spark, DevOps, Hadoop, Chef, Puppet, Docker, Jenkin, Maven"
166,072d3b5dccde78c866d62d26daa474a6,https://www.mycareersfuture.sg/job/big-data-solutions-architect-amazon-web-services-singapore-072d3b5dccde78c866d62d26daa474a6,Big Data Solutions Architect,Permanent,AMAZON WEB SERVICES SINGAPORE PRIVATE LIMITED,"AIA TOWER, 1 ROBINSON ROAD 048542",Professional,Information Technology,130000,250000,Monthly,11 Jan 2019,0,0,0,1,"Amazon Web Services (AWS) is looking for an experienced Big Data Solutions Architect who will become the Subject Matter Expert (SME) for designing big data architectures that leverage AWS's cloud technology.   Our customer engagements will focus on Real Time and Batch-based Big Data processing, Business Intelligence, and Machine Learning.   This role will specifically focus on Amazon Web Services for Big Data, including Amazon EMR for Hadoop & Spark, Amazon Elasticsearch Service, Amazon Athena, Amazon Kinesis Suite, and our storage, data warehousing, and business intelligence suite of products. As a Big Data Solutions Architect, you will focus time on helping our customers and partners build innovative Solutions and Businesses that focus on leveraging the value of data.   You would be part of a dynamic team bringing the latest in disruptive, cutting-edge cloud computing technologies to bear on the difficult cost and agility challenges facing many organizations.   The business development and account management teams will help accelerate the adoption of Amazon Web Services as the leading cloud technology platform.   Responsibilities Include:   Collaborate with AWS field sales, Solution Architects, training and support teams to help partners and customers learn and understand the capabilities and value of AWS Big Data and Analytics services such as AWS Glue, Amazon Elastic Map Reduce (EMR), Amazon Athena, Amazon Redshift & Amazon Kinesis, in addition to other offerings that form the Data & Analytics ecosystem. Technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and designing relevant data solutions. Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing.  How your day will look like ?  An ideal candidate will possess both technical and customer-facing skills that will allow them to be a ""trusted advisor"" to customers. He or she will be able to facilitate relationships with senior personnel, as well as easily interact and give guidance to database experts, software developers, IT pros, and system architects. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical challenges. If you are someone who enjoys innovating, likes solving hard problems and working on cutting edge technology, we would love to have you on the team. 	This role covers the ASEAN region and regular travel will be required.     #AWSSINGPORE  ","Basic Qualifications:   Deep understanding of Apache Hadoop and the Hadoop ecosystem. Experience with tools such as Flink, Spark, Sqoop, Kafka, Oozie, Zookeeper, HCatalog and Hive. Familiarity with SQL-on-Hadoop technologies such as Hive, Pig, Impala, Spark SQL, and/or Presto. Current hands-on implementation experience required, possessing 8 or more years of IT platform implementation experience. Experience with analytic solutions applied to the Marketing or Risk needs of enterprises. Proven experience in a consultative technical sales or professional services with a proven track record of success. Ability to gain credibility and build relationships with all levels in an organization, from technical experts to senior executives. Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment. Track record of thought leadership and innovation around Big Data. Solid understanding of Cloud Computing Technologies and related emerging technology Strong verbal and written communications skills are a must, as well as the ability to lead effectively across internal and external organizations and virtual teams. A talent for being able to influence and build mindshare convincingly with any audience. Confident and experienced in public speaking to large audiences. Develop and cultivate a community of Big Data & Analytics experts, sharing ideas and best practices. Coordinate efforts around IP development, evangelism and thought-leadership events relating to Big Data & Analytics. Provide thought leadership to Data & Analytics experts both externally through events like AWS Summit Series and User-Groups. Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.  Preferred qualifications  Understanding and experience with Machine Learning and AI related technologies.  Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing. Experience with Statistics and Machine Learning.  AWS Certification, eg. AWS Solutions Architect Associate "
167,0839839b38e2ab1a54c8448a9bb1edc3,https://www.mycareersfuture.sg/job/lead-data-scientist-m1-0839839b38e2ab1a54c8448a9bb1edc3,Lead / Data Scientist,Full Time,M1 LIMITED,10 INTERNATIONAL BUSINESS PARK 609928,"Middle Management, Manager","Engineering, Information Technology, Others, Sciences / Laboratory / R&D, Telecommunications",6000,9000,,11 Jan 2019,0,0,0,0," Lead and manage Data Science activities, and ensure alignment to business objectives and strategies Collaborate with stakeholders to identify data analytics opportunities that will produce actionable insights and drive new business initiatives Ensure end-to-end operational efficiency on data preparation, extraction, transformation and loading of complex big data sets of different formats from various source systems Build Data Science talent needs by developing team expertise in mathematics, quantitative analysis, data mining and machine learning to develop statistical models and algorithms Provide technical leadership and subject matter expertise on usage of big data technologies, tools and techniques that will improve data processing or enhance the results of the analytics outcome "," Degree in Statistics, Mathematics, Computer Science, Data Science and Analytics or related field with 5+ years' experience in Data Analytics and machine learning on enterprise data Expert technical abilities with machine learning, statistical and probability methods Excellent understanding of machine learning techniques (classification, regressions, dimensionality reduction, etc) Working experience on Big Data development and related technologies (R, Python, Scala, Matlab, Java, Hadoop, Spark, Hive, Impala, Sqoop, Kafka, etc) Working knowledge of relational databases, HP Vertica, SQL & NoSQL databases Proficient in SQL, Oracle, PostgreSQL, ETL/ELT applications Experience with:   Visualization/business intelligence tools such as Tableau and Qlikview Geospatial analysis using telecommunications network data would be advantageous   Telecom domain knowledge with experience in multi-tiered Customer Care, Order Management, Loyalty, Business Support and Network Provisioning systems would be advantageous Comfortable working with very big complex data sets of various formats Excellent analytical, communication, presentation and technical proposals writing skills Ability to handle multiple simultaneous tasks, prioritize and meet tight deadlines "
168,c2d0b4bd6eee47a534e143d554b82e37,https://www.mycareersfuture.sg/job/data-science-consultant-cpm-consulting-c2d0b4bd6eee47a534e143d554b82e37,Data Science Consultant,"Permanent, Full Time",CPM CONSULTING PTE. LTD.,78 SHENTON WAY 079120,Professional,Information Technology,6000,8000,Monthly,11 Jan 2019,0,0,0,1,"Primary Responsibilities:  Understand large data sets, build data models to address business problems Undertake data collection, pre-processing and analysis Build predictive models and machine learning algorithms  The role will involve analysis and extensive data crunching with good amount of hands on programming skills.","This role requires following skills and experience:  Proven experience (5+Years) as a Data Scientist or Data Analyst Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills    Candidate should possess good soft skills as mentioned below:  Should possess excellent problem solving and is able to work effectively in a less structured environment and manage time. Excellent verbal and written communication skills Work closely with onsite and offshore team members Willing to travel to the customers locations on need basis outside of Singapore "
169,e3cad7794ab19d8da17f9eb1e8dc8c6c,https://www.mycareersfuture.sg/job/senior-director-data-scientist-cloudstream-asia-pacific-e3cad7794ab19d8da17f9eb1e8dc8c6c,Senior Director Data Scientist,Permanent,CLOUDSTREAM ASIA PACIFIC PTE. LTD.,"MYP CENTRE, 9 BATTERY ROAD 049910",Senior Management,Banking and Finance,,,Monthly,11 Jan 2019,0,0,0,1,"This role of S/VP Data Science is ideal for a person who gets excited about leading (hands-on) a team of 10 Ph.D. Data Scientists to research and develops innovative large-scale data science products using machine learning and A.I. There is massive and unique real-time data to leverage, as well as an install base of clients that reads like a ""who's who"" of the global economy. The focus is on the two main revenue generators; • Manage a current team of 9 Data Scientists and grow it • Make the core marketing leading consumer identity platform more accessible, flexible, dynamic, and on-demand • Model and put into production Tech Stack: • Scala, Python • Spark, SparkML, H2O, AutoML, SciKit Learn, etc. • Google Cloud Platform (GCP), BigTable, BigQuery    ","Qualifications: • Relevant Ph.D. (i.e. Computer Science, Mathematics, Statistics or other relevant quantitative fields). • A proven track record of data science leadership and hands-on experience as a Data scientist • Domain experience with MarTech / Adtech / Programmatic / Consumer Behavior / Attribution / Audience Segmentation & Targeting. • Experience in working on large-scale, distributed systems environment • Expertise in applying Machine Learning and Artificial Intelligence on large-scale data • Experience facilitating collaboration between geographically distributed cross-functional teams • Deep knowledge of software development life-cycle, and Agile methodologies"
170,7e572dfb34e602095dfe89dca19c3dcf,https://www.mycareersfuture.sg/job/human-resource-director-tookitaki-holding-7e572dfb34e602095dfe89dca19c3dcf,Human Resource Director,Full Time,TOOKITAKI HOLDING PTE. LTD.,"HIGH STREET CENTRE, 1 NORTH BRIDGE ROAD 179094",Professional,Human Resources ,12000,13500,Monthly,11 Jan 2019,0,0,0,0,"Tookitaki is providing machine learning-powered enterprise solutions to address regulatory compliance problems in the financial services sector. Incorporated in November 2014 in Singapore, the company is led by a core team with cumulative 30-years’ experience in finance, AI and big data analytics. Backed by institutional investors such as Jungle Ventures and Spring Seeds (a subsidiary of the Singapore Government), the company’s accolades include:  We are among the selected 21 companies which got accreditation from the government of Singapore for their stringent technology, finance and operations due diligence (www.imda.gov.sg/industry-development/programmes-and-grants/startups/accreditation-at-sgd) We won the first place in the MAS FinTech Awards (Singapore SME) in the regulatory compliance space from the Monetary Authority of Singapore for our approach to make the workflows in AML and Reconciliation scalable and highly auditable (beyond ML based black box approach) (www.mas.gov.sg/News-and-Publications/Media-Releases/2016/Ten-FinTech-companies-recognised-for-innovative-solutions-at-inaugural-FinTech-Awards.aspx) We are voted as one of the top 21 AI start-ups focusing on the financial services space by medici (www.letstalkpayments.com/medici-top-21-ai-companies/) We graduated from Nomura's corporate innovation program in November 2017 where we successfully delivered our product – Reconciliation Management Suite – in a pilot environment (https://inc42.com/buzz/nomura-voyager-fintech-accelerator-voyager-demo-day/)  In regulatory compliance, we focus on anti-money laundering and reconciliation and our products – Alerts Management Suite (AMS) and Reconciliation Management Suite (RMS) – cater to these areas, respectively. The mission or goal is to achieve 40% operational efficiency with significant savings in infrastructure and operational costs. Tookitaki's unique selling proposition (USP) is in our approach where we combine our proprietary modelling technique with our complete auditable framework to make the process dynamic and highly explainable (moving out of the black box approach). Moreover, our flexible on-premise and cloud-packaging capabilities, along with the option of easy integration to exiting core-banking applications (REST API end points), make the solution deployment faster with lesser barrier to entry. Today, regulatory compliance processes have become more complex and fluidic, increasing the chances for rule-based models to fail. Banks need to move beyond static rule-based systems and adopt a new approach to prevent financial and reputation loss. Tookitaki bridges the gap with its innovative software products – AMS, RMS and PMS. The Chief Human Resource Officer (CHRO) manages the human resource function in the organisation. He/She uses his/her business and financial knowledge to advise senior business leaders on HR matters. He/She champions the desired culture and values of the organisation. He/She has a sound understanding of how the external environment may affect the organisation. He/She provides strategic foresight and HR insights, and is able to offer innovative solutions to problems.  He/She has a global, forward-thinking perspective and is able to make logical decisions. He/She is an influential and inspiring leader who effectively builds relationships and engages with various stakeholders.","Our ideal candidate is a business-minded HR leader with at least 12 years of experience building people strategies for big and emerging businesses for one of the world's fastest-growing and most valuable technology companies. He/she should have proven success partnering with global executive leadership teams across sales & marketing, product & engineering and FP&A. The candidate should also be a trusted advisor with an extensive track record of quickly establishing credibility and executing effectively across teams and partners of all levels. The key responsibilities of the position include, among others:  Partnering, coaching, and providing guidance to business leaders (including the CXOs, General Managers, and VPs) on people-related topics Devising new ways of scaling and innovating business by investing in people Leading core HR programs and providing expertise in leadership & management coaching, developing HR strategy, advising on people and business issues, talent assessment and development, performance management, employee relations, learning and development, compensation, and rewards & recognition programs Overseeing HR for Engineers, Product Managers, UX/UI, and other technical employees. This includes talent management, organizational design, compensation, succession planning, leadership development, management effectiveness, performance management, employee relations, etc Working as an HR Business Partner on the core team that designs and scales HR practices to support the culture and fast growth  Required Skills and Expertise  12-15 years of experience Passionate about enabling people to scale businesses. Demonstrated team building and people management skills Experienced in hiring and scaling high-performance teams to address new areas of growth   Very strong communication skills both written and verba  ~ Actively participate in professional associations, present thought leadership and insights, and share knowledge gained with others through various channels ~ Advise senior business leaders and stakeholders on the design of the organisation structure to enable business strategy and support the business objectives aligning to the organisation's vision, mission and goals ~ Advise senior business leaders and stakeholders to invest strategically on people related matters where it has high impact on current and future workforce performance ~ Advocate the people agenda in all matters to cultivate a culture where employees in the organisation are valued and engaged ~ Apply a value-based or principle-based approach to dealing with dilemmas or paradoxes and being the 'conscience' of the organisation in such situations ~ Articulate desired key behaviours premised upon organisational values and desired cultural traits to influence employees to embrace the values and desired culture ~ Articulate organisation's rewards philosophy that includes employee value propositions, nonmonetary rewards and performance based monetary rewards to motivate workforce and drive high performance ~ Articulate the alignment and impact of HR strategy, goals and initiatives on workforce, business and financial performance ~ Articulate the impact of changes to employees and change readiness of employees, provide strategic inputs and provide visible support in all communications initiatives to support change interventions and employee engagement initiatives ~ Champion large-scale employee-related or HR initiatives that sets the trend in the industry and enhances the organisation's branding and position as an employer of choice in the industry ~ Champion organisation development or change interventions to develop and increase organisational agility and drive high performance culture in the workplace aligning to organisation's strategy and objectives ~ Champion organisational values and cultivate desired culture with other senior business leaders and stakeholders ~ Champion people related initiatives with senior business leaders and stakeholders to promote and enhance employee engagement across the organisation ~ Champion the adoption of workforce analytics (HR metrics and data analytics) as a business intelligence tool that enables sound and informed decision-making around workforce and people management ~ Define the impact of current marketplace dynamics and current and future industry trends on the organisation's HR strategy and initiatives prior to implementation ~ Deliver credible and persuasive presentations to senior business leaders and stakeholders and display deep understanding of the business and industry ~ Display professional maturity and executive presence in dealing with contentious or sensitive topics during discussion with senior business leaders and stakeholders ~ Engage with members of the board and executive suite level on board-related and organization group-wide issues, such as board member and executive suite member ~ Evaluate impact of HR policies and programmes on workforce performance taking into consideration of the priorities, industry, size and complexity of the organisation as well as risks,costs and benefits to the organisation ~ Evaluate the implications of the external environment (political, regulatory, economic, social, technological, legal) on the industry, organisation and people, and respond to challenges in an agile manner ~ Formulate and shape the organisation's business strategy and enterprise risk management with senior business leaders and stakeholders by giving inputs related to business and people agenda ~ Formulate the overall learning and development strategy and lifelong learning philosophy through a multi-pronged approach to structured and unstructured learning, coaching, mentoring,and on-the-job training to cultivate a culture of lifelong learning, resilience and change agility ~ Help leaders and stakeholders in such a manner that both organisation's and employees interests are protected ~ Identify and assess an organisation's current and future core capabilities required to deliver against business strategy in a competitive operating environment and changing business landscape and economic conditions ~ Identify strategies for managing and resolving organisational challenges in the areas of ethics, culture and performance ~ Influence best practices by leveraging lessons learned from HR community and marketplace trends, setting the trend and innovating HR solutions to position the organisation as an employer of choice ~ Integrate global best practices in formulating HR strategies to position the organisation as a recognised leader in the industry ~ Keep pace with the latest trends and developments in HR concepts, tools, techniques, technology and innovative solutions so as to bring insights to enhance value of HR to businesses ~ Lead HR transformation programmes in pursuit of optimised workforce, HR technology and operational excellence in the delivery of HR services ~ Lead the talent agenda by overseeing the development and strengthening of the talent bench strength and leadership pipeline in order to a build high performance workforce, meet succession needs and ensure business continuity and sustainability ~ Lead the team in managing complex organizational change and provide insights and guidance to deal with the resulting ambiguity to ensure minimal disruptions to the operations within the organisation and employees are engaged ~ Oversee the design and delivery of HR strategy and initiatives and ensure alignment of the HR imperatives to the organisation's strategic goals and business imperatives ~ Position the HR function as a business partner with other business leaders by forging closer relationships and working collaboratively with them to add value to business and employee agenda ~ Promote changes to the existing operating environment that positively impacts working relations and partnerships with internal and external stakeholders ~ Provide clarity to the expected conduct and behaviours of all employees by ensuring behaviours are consistent with the values of the organisation ~ Provide effective governance and oversight to instill the necessary discipline in policy enforcement and issue resolution ~ Provide industry trends and strategic insights across a range of internal business changes and imperatives (dealing with multi-generational workforce, adapting to the changing operating environment, operating effectively across cultures, harnessing innovation, managing digital and technology impact, and transforming HR) to enable senior business leaders and stakeholders to make decisions that help the organisation to be future-ready ~ Provide strategic direction for HR function and initiatives based on insights derived from business performance metrics, HR metrics, and external industry benchmark data ~ Recognise the business implications of upholding ethical principles and proper conduct, and cultivate a highly ethical work environment by holding the HR function to the highest standards of ethical and professional conduct ~ Scan the local, regional and international business landscape to identify emerging trends and develop long-term strategies, provide insightful perspectives and foresights so as to always take pre-emptive action to capitalise on new opportunities or navigate people-related risk and regulatory complexities ~ Steer large scale organisational change or transformation programmes, acting as advisor and change champion ~ Understand and interpret business and financial performance metrics from people's perspective to identify key challenges and root causes and recommend strategic solutions related to workforce performance"
171,e7f20a8919c19611953ccbf2cdaa4db5,https://www.mycareersfuture.sg/job/investment-analyst-tookitaki-holding-e7f20a8919c19611953ccbf2cdaa4db5,Investment Analyst,Full Time,TOOKITAKI HOLDING PTE. LTD.,"HIGH STREET CENTRE, 1 NORTH BRIDGE ROAD 179094",Middle Management,Information Technology,7000,10000,Monthly,11 Jan 2019,0,0,0,0,"About Tookitaki Tookitaki is providing machine learning-powered enterprise solutions to address regulatory compliance problems in the financial services sector. Incorporated in November 2014 in Singapore, the company is led by a core team with cumulative 30-years’ experience in finance, AI and big data analytics. Backed by institutional investors such as Jungle Ventures and Spring Seeds (a subsidiary of the Singapore Government), the company’s accolades include:  We are among the selected 21 companies which got accreditation from the government of Singapore for their stringent technology, finance and operations due diligence (www.imda.gov.sg/industry-development/programmes-and-grants/startups/accreditation-at-sgd) We won the first place in the MAS FinTech Awards (Singapore SME) in the regulatory compliance space from the Monetary Authority of Singapore for our approach to make the workflows in AML and Reconciliation scalable and highly auditable (beyond ML based black box approach) (www.mas.gov.sg/News-and-Publications/Media-Releases/2016/Ten-FinTech-companies-recognised-for-innovative-solutions-at-inaugural-FinTech-Awards.aspx) We are voted as one of the top 21 AI start-ups focusing on the financial services space by medici (www.letstalkpayments.com/medici-top-21-ai-companies/) We graduated from Nomura's corporate innovation program in November 2017 where we successfully delivered our product – Reconciliation Management Suite – in a pilot environment (https://inc42.com/buzz/nomura-voyager-fintech-accelerator-voyager-demo-day/)  In regulatory compliance, we focus on anti-money laundering and reconciliation and our products – Alerts Management Suite (AMS) and Reconciliation Management Suite (RMS) – cater to these areas, respectively. The mission or goal is to achieve 40% operational efficiency with significant savings in infrastructure and operational costs. Tookitaki's unique selling proposition (USP) is in our approach where we combine our proprietary modelling technique with our complete auditable framework to make the process dynamic and highly explainable (moving out of the black box approach). Moreover, our flexible on-premise and cloud-packaging capabilities, along with the option of easy integration to exiting core-banking applications (REST API end points), make the solution deployment faster with lesser barrier to entry. Today, regulatory compliance processes have become more complex and fluidic, increasing the chances for rule-based models to fail. Banks need to move beyond static rule-based systems and adopt a new approach to prevent financial and reputation loss. Tookitaki bridges the gap with its innovative software products – AMS, RMS and PMS.","Our Ideal Candidate  Identifying ideal venture capital firms that can provide capital, strategic assistance, introductions to potential customers, partners, and employees and more Developing strategies to obtain VCs’ attention into the company’s core business and investment opportunities. Creating/modifying investor pitch deck based on various needs Understanding if the investors’ focus aligns with the company and its stage of development Scheduling meetings with VC firms and following up with more meetings and conversations if required Making effective presentations to VC firms, highlighting founders’ success, company growth, proprietary technology and efficiency of the business model Actively participating in the creation, issuance and negotiation of term sheets with investors and in the due diligence process Negotiating company valuation and form of investment at the time of investment in favour of the company Helping draft and negotiate legal documents from both sides to evidence the investment Overviewing the capitalization structure of the company and suggesting changes in consultation with founders  Requirements  Two to five years of work experience in the VC space with demonstrated operational, analytical, research, communication and presentation skills Deep knowledge about funding process, anticipated deal terms and potential issues that may arise during and after funding Demonstrated ability to rapidly understand and evaluate markets, VCs and emerging technologies Self-driven with a knack to work in a small team, exceptionally personable, intellectually fierce, and task-oriented   Desired Non-technical Requirements  Very strong communication skills both written and verbal Strong desire to work with start-ups Must be a team player  Job Perks  Attractive variable compensation package Flexible working hours - everything is results-oriented Opportunity to work with an award-winning organization in the hottest space in tech - artificial intelligence and advanced machine learning "
172,25aa999205bd1d9052f7d2db384536f7,https://www.mycareersfuture.sg/job/director-client-engagements-tookitaki-holding-25aa999205bd1d9052f7d2db384536f7,"Director, Client Engagements",Full Time,TOOKITAKI HOLDING PTE. LTD.,"HIGH STREET CENTRE, 1 NORTH BRIDGE ROAD 179094",Middle Management,Information Technology,15000,20000,Monthly,11 Jan 2019,0,0,0,0,"About Tookitaki Tookitaki is providing machine learning-powered enterprise solutions to address regulatory compliance problems in the financial services sector. Incorporated in November 2014 in Singapore, the company is led by a core team with cumulative 30-years’ experience in finance, AI and big data analytics. Backed by institutional investors such as Jungle Ventures and Spring Seeds (a subsidiary of the Singapore Government), the company’s accolades include:  We are among the selected 21 companies which got accreditation from the government of Singapore for their stringent technology, finance and operations due diligence (www.imda.gov.sg/industry-development/programmes-and-grants/startups/accreditation-at-sgd) We won the first place in the MAS FinTech Awards (Singapore SME) in the regulatory compliance space from the Monetary Authority of Singapore for our approach to make the workflows in AML and Reconciliation scalable and highly auditable (beyond ML based black box approach) (www.mas.gov.sg/News-and-Publications/Media-Releases/2016/Ten-FinTech-companies-recognised-for-innovative-solutions-at-inaugural-FinTech-Awards.aspx) We are voted as one of the top 21 AI start-ups focusing on the financial services space by medici (www.letstalkpayments.com/medici-top-21-ai-companies/) We graduated from Nomura's corporate innovation program in November 2017 where we successfully delivered our product – Reconciliation Management Suite – in a pilot environment (https://inc42.com/buzz/nomura-voyager-fintech-accelerator-voyager-demo-day/)  In regulatory compliance, we focus on anti-money laundering and reconciliation and our products – Alerts Management Suite (AMS) and Reconciliation Management Suite (RMS) – cater to these areas, respectively. The mission or goal is to achieve 40% operational efficiency with significant savings in infrastructure and operational costs.   Tookitaki's unique selling proposition (USP) is in our approach where we combine our proprietary modelling technique with our complete auditable framework to make the process dynamic and highly explainable (moving out of the black box approach). Moreover, our flexible on-premise and cloud-packaging capabilities, along with the option of easy integration to exiting core-banking applications (REST API end points), make the solution deployment faster with lesser barrier to entry. Today, regulatory compliance processes have become more complex and fluidic, increasing the chances for rule-based models to fail. Banks need to move beyond static rule-based systems and adopt a new approach to prevent financial and reputation loss. Tookitaki bridges the gap with its innovative software products – AMS, RMS and PMS.          ","Role: Director, Client Engagements               Our Ideal Candidate  Tookitaki is looking for a Director, Client Engagements with a work experience of 10+ years.  Ensuring successful delivery across client lifecycle: pilot, transition to production, Go-live and ongoing support Playing a key role in retention and managing account relationships Coordinating with the product development team in shaping product roadmap for applications – AMLS and RS Helping the sales team with any pre-sales effort required  Desired Non-technical Requirements  Very strong communication skills both written and verbal Strong desire to work with start-ups Must be a team player  Job Perks  Attractive variable compensation package Flexible working hours - everything is results-oriented Opportunity to work with an award-winning organization in the hottest space in tech - artificial intelligence and advanced machine learning "
173,568047e89db2cdfe12e5b2c037ead06d,https://www.mycareersfuture.sg/job/intern-marketing-tookitaki-holding-568047e89db2cdfe12e5b2c037ead06d,Intern - Marketing,Internship,TOOKITAKI HOLDING PTE. LTD.,"HIGH STREET CENTRE, 1 NORTH BRIDGE ROAD 179094",Fresh/entry level,"Information Technology, Marketing / Public Relations ",1000,1500,Monthly,11 Jan 2019,0,1,0,0,"About Tookitaki Tookitaki is providing machine learning-powered enterprise solutions to address regulatory compliance problems in the financial services sector. Incorporated in November 2014 in Singapore, the company is led by a core team with cumulative 30-years’ experience in finance, AI and big data analytics. Backed by institutional investors such as Jungle Ventures and Spring Seeds (a subsidiary of the Singapore Government), the company’s accolades include:  We are among the selected 21 companies which got accreditation from the government of Singapore for their stringent technology, finance and operations due diligence (www.imda.gov.sg/industry-development/programmes-and-grants/startups/accreditation-at-sgd) We won the first place in the MAS FinTech Awards (Singapore SME) in the regulatory compliance space from the Monetary Authority of Singapore for our approach to make the workflows in AML and Reconciliation scalable and highly auditable (beyond ML based black box approach) (www.mas.gov.sg/News-and-Publications/Media-Releases/2016/Ten-FinTech-companies-recognised-for-innovative-solutions-at-inaugural-FinTech-Awards.aspx) We are voted as one of the top 21 AI start-ups focusing on the financial services space by medici (www.letstalkpayments.com/medici-top-21-ai-companies/) We graduated from Nomura's corporate innovation program in November 2017 where we successfully delivered our product – Reconciliation Management Suite – in a pilot environment (https://inc42.com/buzz/nomura-voyager-fintech-accelerator-voyager-demo-day/)    In regulatory compliance, we focus on anti-money laundering and reconciliation and our products – Alerts Management Suite (AMS) and Reconciliation Management Suite (RMS) – cater to these areas, respectively. The mission or goal is to achieve 40% operational efficiency with significant savings in infrastructure and operational costs. Tookitaki's unique selling proposition (USP) is in our approach where we combine our proprietary modelling technique with our complete auditable framework to make the process dynamic and highly explainable (moving out of the black box approach). Moreover, our flexible on-premise and cloud-packaging capabilities, along with the option of easy integration to exiting core-banking applications (REST API end points), make the solution deployment faster with lesser barrier to entry. Today, regulatory compliance processes have become more complex and fluidic, increasing the chances for rule-based models to fail. Banks need to move beyond static rule-based systems and adopt a new approach to prevent financial and reputation loss. Tookitaki bridges the gap with its innovative software products – AMS, RMS and PMS. Role: Marketing Intern","Our Ideal Candidate Our Marketing team is looking for a Marketing Intern, who will be:  Developing and managing the events calendar for the FinTech industry for the year 2019 and pro-actively monitoring the industry in order to apply for awards & recognition as well as accelerator programs  Creating and updating Tookitaki's profile on industry-specific platforms to raise the brand awareness. Managing all forms of communication with the stakeholders’ involved in the process Assisting in content creation for inbound and outbound marketing initiatives across all social media channels Brainstorming to create campaigns that are in line with our company’s brand positioning and communications strategy Creating a repository of content resources to drive traffic, awareness, and leads across all social media channels  Desired Requirements  Very strong communication skills both written and verbal Strong desire to work with start-ups Must be a team player "
174,944e7b23927fbf40217e09237e2c5bb3,https://www.mycareersfuture.sg/job/researcher-tookitaki-holding-944e7b23927fbf40217e09237e2c5bb3,Researcher,Full Time,TOOKITAKI HOLDING PTE. LTD.,"HIGH STREET CENTRE, 1 NORTH BRIDGE ROAD 179094",Middle Management,Engineering,8000,12000,Monthly,11 Jan 2019,0,0,0,0,"Introducing Tookitaki Tookitaki is providing machine learning-powered enterprise solutions to address regulatory compliance problems in the financial services sector. Incorporated in November 2014 in Singapore, the company is led by a core team with cumulative 30-years’ experience in finance, AI and big data analytics. Backed by institutional investors such as Jungle Ventures and Spring Seeds (a subsidiary of the Singapore Government), the company’s accolades include:   We are among the selected 21 companies which got accreditation from the government of Singapore for their stringent technology, finance and operations due diligence (www.imda.gov.sg/industry-development/programmes-and- grants/startups/accreditation-at-sgd)   We won the first place in the MAS FinTech Awards (Singapore SME) in the regulatory compliance space from the Monetary Authority of Singapore for our approach to make the workflows in AML and Reconciliation scalable and highly auditable (beyond ML based black box approach) (www.mas.gov.sg/News-and-Publications/Media- Releases/2016/Ten-FinTech-companies-recognised-for-innovative-solutions-at- inaugural-FinTech-Awards.aspx)   We are voted as one of the top 21 AI start-ups focusing on the financial services space by medici (www.letstalkpayments.com/medici-top-21-ai-companies/)   We graduated from Nomura's corporate innovation program in November 2017 where we successfully delivered our product – Reconciliation Management Suite – in a pilot environment (https://inc42.com/buzz/nomura-voyager-fintech-accelerator-voyager- demo-day/) In regulatory compliance, we focus on anti-money laundering and reconciliation and our products – Alerts Management Suite (AMS) and Reconciliation Management Suite (RMS) – cater to these areas, respectively. The mission or goal is to achieve 40% operational efficiency with significant savings in infrastructure and operational costs. Tookitaki's unique selling proposition (USP) is in our approach where we combine our proprietary modelling technique with our complete auditable framework to make the process dynamic and highly explainable (moving out of the black box approach). Moreover, our flexible on-premise and cloud-packaging capabilities, along with the option of easy integration to exiting core-banking applications (REST API end points), make the solution deployment faster with lesser barrier to entry. Today, regulatory compliance processes have become more complex and fluidic, increasing the chances for rule-based models to fail. Banks need to move beyond static rule-based systems and adopt a new approach to prevent financial and reputation loss. Tookitaki bridges the gap with its innovative software products – AMS, RMS and PMS.   Location: Singapore Engineering/Research @ Tookitaki The engineering/research team is responsible for building a robust predictive platform, which can add significant value to the BFSI vertical in solving operational and compliance risk problems. We take pride in building the system right and continuously evolving it. You have the freedom to choose right tools for the task. We encourage our engineers to participate in and contribute to open-source communities.","Our Ideal Candidate Our engineering/research team is looking for a Sr Researcher with 3+ years’ solid research experience, who:   Is abreast with the state-of-the-art solutions related to evolving ML areas like Auto ML, explainable and interpretable ML, and online continuous learning.   Has deep interest and experience working on open-ended research problems in machine learning.   Would like to spend the next few years in implementing research ideas into product features to make an industry-wide impact.   Is well versed with computer science skills required to implement the algorithms on big data sets.   Has experience in parallelizing traditional algorithms to leverage advanced computing infrastructure and distributed systems.   Enjoys publishing research findings and presenting them at advanced ML conferences.   Would like to constantly experiment with new research ideas, find its applicability with our products to push the boundary forward. Desired Non-technical Requirements     Very strong communication skills both written and verbal   Strong desire to work with startups   Must be a team player Job Perks     Attractive variable compensation package   Flexible working hours - everything is results-oriented   Opportunity to work with an award-winning organization in the hottest technology spaces -- artificial intelligence and advanced machine learning   Email: careers@tookitaki.com"
175,3911c723c4f5fb0a755578f0cd8e7e7b,https://www.mycareersfuture.sg/job/solution-architect-tookitaki-holding-3911c723c4f5fb0a755578f0cd8e7e7b,Solution architect,Full Time,TOOKITAKI HOLDING PTE. LTD.,,Middle Management,Information Technology,8500,12000,,11 Jan 2019,0,0,0,0,"Introducing Tookitaki Tookitaki is providing machine learning-powered enterprise solutions to address regulatory compliance problems in the financial services sector. Incorporated in November 2014 in Singapore, the company is led by a core team with cumulative 30-years’ experience in finance, AI and big data analytics. Backed by institutional investors such as Jungle Ventures and Spring Seeds (a subsidiary of the Singapore Government), the company’s accolades include:   We are among the selected 21 companies which got accreditation from the government of Singapore for their stringent technology, finance and operations due diligence (www.imda.gov.sg/industry-development/programmes-and- grants/startups/accreditation-at-sgd)   We won the first place in the MAS FinTech Awards (Singapore SME) in the regulatory compliance space from the Monetary Authority of Singapore for our approach to make the workflows in AML and Reconciliation scalable and highly auditable (beyond ML based black box approach) (www.mas.gov.sg/News-and-Publications/Media- Releases/2016/Ten-FinTech-companies-recognised-for-innovative-solutions-at- inaugural-FinTech-Awards.aspx)   We are voted as one of the top 21 AI start-ups focusing on the financial services space by medici (www.letstalkpayments.com/medici-top-21-ai-companies/)   We graduated from Nomura's corporate innovation program in November 2017 where we successfully delivered our product – Reconciliation Management Suite – in a pilot environment (https://inc42.com/buzz/nomura-voyager-fintech-accelerator-voyager- demo-day/) In regulatory compliance, we focus on anti-money laundering and reconciliation and our products – Alerts Management Suite (AMS) and Reconciliation Management Suite (RMS) – cater to these areas, respectively. The mission or goal is to achieve 40% operational efficiency with significant savings in infrastructure and operational costs. Tookitaki's unique selling proposition (USP) is in our approach where we combine our proprietary modelling technique with our complete auditable framework to make the process dynamic and highly explainable (moving out of the black box approach). Moreover, our flexible on-premise and cloud-packaging capabilities, along with the option of easy integration to exiting core-banking applications (REST API end points), make the solution deployment faster with lesser barrier to entry. Today, regulatory compliance processes have become more complex and fluidic, increasing the chances for rule-based models to fail. Banks need to move beyond static rule-based systems and adopt a new approach to prevent financial and reputation loss. Tookitaki bridges the gap with its innovative software products – AMS, RMS and PMS.            Email: careers@tookitaki.com  /  Location: Singapore .  Our Ideal Candidate The Solution Architect leads pre-sales and consultative engagements with our enterprise clients in the financial services sector, partnering with key stakeholders to create compelling visions while advising and executing on strategies. He/she serves as hands-on trusted advisors, using strong interpersonal skills, functional and/or technical knowledge, Tookitaki product knowledge, industry experience, consulting experience and knowledge of his/her client’s business to deliver customer ROI. The candidate should be a strong presenter and facilitator, obtaining customer acceptance by first effectively listening, then truly understanding and delivering the right strategic vision, and driving the difficult conversations necessary to execute business strategies. He/she should be proficient at analysing issues and obstacles to determine root cause(s), weighing options, choosing appropriate courses of action, and measuring and revising strategies based on results. The person interacts with both technical and functional customers to understand requirements, analyse information and design comprehensive solutions. He/she also demonstrates a strong understanding of typical business challenges faced by customers and common objectives. The Solution Architect contributes to thought leadership and best practices – both internally in their Community and externally in the marketplace – and advocate for change across the organization and industry. Responsibilities   Enabling clients to consistently meet/exceed goals and metrics; deliver high client satisfaction   Positively impacting new business and existing client cross-sell, up-sell and renewal opportunities   Delivering high-impact presentations on company solution ‘value proposition’ and technical solution set for assigned accounts and opportunities   Providing technical leadership and accountability to the project team   Supporting the development of best-practice standards by producing template toolkits for key use-case functionalities   Developing pre-sales documentation and collateral   Functioning as a liaison between the sales team and service delivery organization to vet solution recommendations and to complete technical portions of the SOW, as appropriate   Completing technical sections for RFP/RFI/RFQ responses for assigned accounts/opportunities   Participating and/or leading UAT testing and deployment   Supporting new product development through testing, contributing to documentation and training material   Being the “source” for answers and advice both externally (through the community and user/industry groups/forums) and internally within the organization and beyond  ","Preferred Qualifications & Skills   BA/BS degree or equivalent from a reputed institution   5+ years of relevant experience, including pre-sales and/or enterprise consulting experience in a regional or global organization in positions of increasing responsibility   Proven track record of results leading customer success stories   Relevant technical certifications and business/systems consulting experience are strongly recommended   Ability to travel (25-50%, may be higher or lower based on the client engagement)   Demonstrated knowledge of a formal system implementation methodology – requirements gathering, design, build/test and deploy (Agile methodology preferable)   Superb written and oral communication skills   Proven ability to lead and execute responsibilities simultaneously   Penchant for service excellence and a collaborative style   Subject matter expertise in financial services is highly preferred   Passion for predictive analytics, artificial intelligence and machine learning   Proven track record working, contributing and leading within a team environment   Logical thinker with an engineering or technical background is preferred Leadership Qualities     IMPECCABLE LISTENER: Listens intently to understand client’s existing processes and probes with relevant and insightful questions   PASSION: Passionate about AI & ML, and about architecting solutions and, above all else, about customer success   BEGINNERS’ MIND: Always learning; approaches each interaction with an open mind; great listener and hands-on   COMMUNICATOR: Speaks and writes with clarity, brevity, and purpose; explains area of expertise clearly and confidently to others; influences and engages C-Level with authority and confidence   STORYTELLER: Confidently and effectively facilitates and presents; ably defends point-of- view; keeps audiences engaged and delivers a clear and memorable message   TEAM PLAYER: Proficient at collaboration and working with members of a team   URGENCY: Ability to move fast and drive business value and results   TRUST: Trusts the company’s core values; shows integrity, transparency, and reliability   ADAPTABLE: Excels in high levels of uncertainty and change   “ROLL UP MY SLEEVES” MENTALITY: Prefers to dive in and get hands dirty   Email: careers@tookitaki.com"
176,e5edc10da7f9a20b9c71c8357e7887d4,https://www.mycareersfuture.sg/job/vice-president-information-technology-hanalytics-e5edc10da7f9a20b9c71c8357e7887d4,"Vice President, Information Technology","Permanent, Full Time",HANALYTICS PTE. LTD.,"NEW TECH PARK, 151 LORONG CHUAN 556741",Senior Management,Information Technology,10000,15000,,11 Jan 2019,0,0,0,1,"Job Description We are looking for an experienced full-stack software engineer working in Technology companies, Tech start-up, Software product firms or Innovation Labs with strong software development skills in building prototypes & experiments in innovative technologies such as mobile applications, cloud, machine learning etc. Job Scope  Drive technical experiments in labs from start to end and act as a software engineering lead & a technical advisor for the business. Research, learn and experiment with new and novel technologies. Design, develop, test, deploy, maintain and improve software by applying software engineering best practices. Perform technical due diligence of new products and services with business teams. ","Requirements  A Bachelor’s degree in Computer science or any technical major. Previous experience in designing and developing multi-tier software architectures. Familiar with at least 2 to 3 different programming languages (Python, Java, Ruby, etc.) and frameworks. Experience in developing web applications or mobile applications from discovery phase to rollout. Good understanding of continuous integration and continuous delivery patterns and practices. Experience working with any of the public cloud providers (AWS, Azure, GCP, etc.) Interest and ability to constantly be learning about new technology, frameworks and tools. Some knowledge of machine learning and NLP techniques will be an added advantage "
177,1455629d24a90a87a21bcb2b806f992d,https://www.mycareersfuture.sg/job/senior-assistant-director-deputy-director-planning-organization-division-ministry-home-affairs-1455629d24a90a87a21bcb2b806f992d,"Senior Assistant Director /  Deputy Director (Data Science Unit), Planning and Organization Division",Full Time,Ministry of Home Affairs,"NEW PHOENIX PARK, 28 IRRAWADDY ROAD 329560",Unknown,"Others, Public / Civil Service",,,Monthly,10 Jan 2019,0,0,0,0,"The Ministry of Home Affairs (MHA) aspires to be a world-class organisation in delivering safety and security for our people. In pursuing our mission to make Singapore our Safe and Secure Best Home, we remain always constant and true to our core values of Honour and Unity. Responsibilities  Keep abreast of latest developments in the fields of Data Science / Artificial intelligence. Actively guide application and adaptation of statistical and machine learning techniques on large-scale datasets to address the diverse business needs for MHA Design and implement workflows for data pre-processing and feature engineering, supervise the development of machine learning models, and oversee experiments to evaluate techniques and algorithms Lead on statistical evaluation of analytical output (e.g. model) and regular review of productionized models; refresh/ retire models Manage data analysis and visualisation projects and present analytical insights to business users and stakeholders Collaborate closely with business users to extract actionable insights from data and processes and guide the team towards co-building data-driven & customized solutions Formulate, refine and guide projects in one or more of the following areas:  Data mining and knowledge discovery Machine learning Visualisation, link analysis / graph databases Artificial intelligence algorithms Natural language processing GISFormulate, refine and guide projects in one or more of the following areas:   Job requirements  Quantitative discipline that involves Data Science/Analytics, Statistics, Applied Mathematics &/or Scientific Computing. Possess 5 or more years of extensive experience solving analytical problems using quantitative approaches, including machine learning and statistical modelling. A strong track record of supervising practical delivery of projects is an advantage. Programming in Python &/or R Using and adapting algorithms from machine learning libraries such as scikit-learn, numpy/scipy, pandas, NLTK &/or Tensorflow Visualisation tools such as Tableau, Qlikview/Qliksense, &/or Microsoft Power BI Effectively conveying complex data analysis and results to non-specialist users, as well as being able to converse in technical terms to experts Working both independently and in teams Working across institutional boundaries  All new appointees will be appointed on a two-year contract in the first instance. We wish to inform that only shortlisted candidates will be notified within 30 days upon closing of the advertisement.",None
178,2be22e0e48ea8549f897c1ba96d0a02c,https://www.mycareersfuture.sg/job/assistant-director-senior-manager-data-analysis-planning-organization-division-ministry-home-affairs-2be22e0e48ea8549f897c1ba96d0a02c,"Assistant Director  /  Senior Manager, Data Analysis (Data Science Unit), Planning and Organization Division",Full Time,Ministry of Home Affairs,"NEW PHOENIX PARK, 28 IRRAWADDY ROAD 329560",Unknown,"Others, Public / Civil Service",,,Monthly,10 Jan 2019,0,0,0,0,"The Ministry of Home Affairs (MHA) aspires to be a world-class organisation in delivering safety and security for our people. In pursuing our mission to make Singapore our Safe and Secure Best Home, we remain always constant and true to our core values of Honour and Unity. Responsibilities  Apply statistical and machine learning techniques on large-scale datasets to address the diverse business needs for MHA Manage and undertake data pre-processing and feature engineering, build and deploy machine learning models, and design experiments to evaluate techniques and algorithms Manage data analysis and visualisation projects and present analytical insights to business users and stakeholders Collaborate closely with business users to extract actionable insights from data and processes and develop data-driven & customized solutions to meet their need Undertake projects in one or more of the following areas:  Data mining and knowledge discovery Machine learning Visualisation, link analysis / graph databases Artificial intelligence algorithms Natural language processing GIS    Job requirements  Quantitative discipline that involves Data Science/Analytics, Statistics, Applied Mathematics &/or Scientific Computing. Possess 2 or more years of extensive experience solving analytical problems using quantitative approaches, including machine learning and statistical modelling. Past practical work experience with a variety of structured and unstructured datasets is an advantage. Programming, preferably in Python &/or R Using and adapting algorithms from machine learning libraries such as scikit-learn, numpy/scipy, pandas, NLTK &/or Tensorflow Visualisation tools such as Tableau, Qlikview/Qliksense, &/or Microsoft Power BI Effectively conveying complex data analysis and results to non-specialist users, as well as being able to converse in technical terms to experts Working both independently and in teams; good interpersonal and communication skills are essential  All new appointees will be appointed on a two-year contract in the first instance. We wish to inform that only shortlisted candidates will be notified within 30 days upon closing of the advertisement.",None
179,2129e842fb1dda7c8e2889e09e0420a8,https://www.mycareersfuture.sg/job/research-officer-bii-astar-research-entities-2129e842fb1dda7c8e2889e09e0420a8,"Research Officer (II), BII","Contract, Full Time",A*STAR RESEARCH ENTITIES,,Non-executive,"Information Technology, Sciences / Laboratory / R&D",2500,5000,Monthly,10 Jan 2019,1,0,0,0,"A Research Assistant/Research Officer position is available in the Computer Vision and Pattern Discovery Group of the Bioinformatics Institute, Singapore. We are a multidisciplinary research group working on the analysis of bio-images, in particular but not restricted to, images of patient biopsy samples acquired using high power microscopes. Our vision work includes object recognition, segmentation and machine learning. Responsibilities 1. Develop machine learning methodologies 2. Applications in healthcare or more general machine learning areas"," Bachelor’s or Master’s Degree in Computer Science or related fields Strong background in computer vision and machine learning Experience and versatile in programming Familiar with applied mathematics which includes but not limited to knowledge in optimization, statistics, deep learning and machine learning formalism Candidate should be interested in learning basic domain knowledge Good communication skills and a team player    The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified"
180,821f091917e5c6b2c1b302118cd38fbb,https://www.mycareersfuture.sg/job/research-assistant-bii-astar-research-entities-821f091917e5c6b2c1b302118cd38fbb,"Research Assistant (II), BII","Contract, Full Time",A*STAR RESEARCH ENTITIES,,Non-executive,"Information Technology, Sciences / Laboratory / R&D",2500,5000,Monthly,10 Jan 2019,1,0,0,0,"A Research Assistant/Research Officer position is available in the Computer Vision and Pattern Discovery Group of the Bioinformatics Institute, Singapore. We are a multidisciplinary research group working on the analysis of bio-images, in particular but not restricted to, images of patient biopsy samples acquired using high power microscopes. Our vision work includes object recognition, segmentation and machine learning. Responsibilities 1. Develop machine learning methodologies 2. Applications in healthcare or more general machine learning areas"," Bachelor’s or Master’s Degree in Computer Science or related fields Strong background in computer vision and machine learning Experience and versatile in programming Familiar with applied mathematics which includes but not limited to knowledge in optimization, statistics, deep learning and machine learning formalism Candidate should be interested in learning basic domain knowledge Good communication skills and a team player    The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified"
181,def72ab2c3cbc9750391f38b3a6cbff2,https://www.mycareersfuture.sg/job/quantitative-commodities-trader-pavilion-energy-management-def72ab2c3cbc9750391f38b3a6cbff2,Quantitative Commodities Trader,Permanent,PAVILION ENERGY MANAGEMENT PTE. LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Manager,Others,7000,14000,Monthly,10 Jan 2019,0,0,0,1,"The individual will be responsible for ongoing development of internal quantitative trading and portfolio build up using proprietary Pavilion Energy technologies, data and insights and executing those strategies on the market within the allocated VaR. Job Requirements:   Development of quantitative trading strategies focusing on commodities for the financial trading desk, statistical arbitrage (pair trading, momentum, PCA/ICA, distance approach) based on statistical /machine learning/ deep learning approach. Conceptualize fundamentals drivers and translate them into quantitative strategies through rigorous statistical modelling analysis and execute those strategies if needed with allocated VaR. Analyse and modelize cross commodity  correlations  from liquid to illiquid energy hubs (Europe : TTF,NBP,ZEEB,ZTP,PSV,EEX,OMEL, Asia :JKM,JCC ,US :HH, LPGs) Optimize portfolios and strategy sizing to maximize Pavilion’s risk framework and execute optimisation trades with trading mandate. Cargos dispatch optimization through Monte Carlo Multi Factor Approach "," Degree /Master /Phd in a quantitative field (Mathematics, Statistics, Physics) Expert in quantitative/statistical approaches utilising R and/or Python Expert in Big Data methods of analysis (Machine learning, Deep learning, Hidden Markov Chains,PCA,ICA ,SVM,Ridge/Lasso Regression,Clustering technics) Expert in time series modeling (GARCH VAR,Cointegration,ARIMA,FARIMA) Experience of developing trading signals in different commodities liquid/illiquid markets Good knowledge of energy commodities (Gas, Power, Oil) from different markets areas Ability  to communicate complex problem solving to peers Excellent pro-active communication and interpersonal skills with proven ability to work as part of a team High level of intellectual curiosity Ability to work accurately and efficiently Experience on a trading floor environment appreciated "
182,58170634ec1f5730d6f58f4236919fe1,https://www.mycareersfuture.sg/job/senior-software-engineer-agoda-company-58170634ec1f5730d6f58f4236919fe1,Senior Software Engineer,"Permanent, Full Time",AGODA COMPANY PTE. LTD.,"PRUDENTIAL TOWER, 30 CECIL STREET 049712",Professional,Information Technology,8000,12000,Monthly,10 Jan 2019,0,0,0,1,"Overview: Do you love to code? Do you want to learn about Big-Data, functional programming, machine learning, distributed systems? Do you want to be part of an awesome multi-national engineering team? Our Bangkok team is seeking passionate engineers to build products across our next gen data platform products. As a software engineer you'll have direct impact on our systems that scale across multiple data centers, totaling a few million writes per second and managing petabytes of data. We deal with problems from real-time data-ingestion, replication, enrichment, storage and analytics. We are not just using Big Data technologies, we are pushing them to the edge. You will be involved in the whole cycle of product development, from design and choice of technology, to development, planning and iterative improvements. Agoda is the largest and fastest growing online hotel booking platform in Asia. And as a Booking Holdings (BKNG) company, the world’s leading provider of brands that help people book great experiences through technology, we are part of the largest online travel company in the world. We have the dynamism and short chain of command of a startup and the capital to make things happen. In this competitive world of online travel agencies, finding even the slightest advantage in the data can make or break a company. That is why we put data systems in our top priorities. At Agoda we don't just love technology, we live technology. Our culture values constant learning, experimenting, fail fast, and having fun. We are looking for passionate engineers to join our engineering family.","Responsibilities:  Design solutions used by millions of people every day. Big Data and Machine Learning processing pipelines Constantly look for ways to improve our products, code-base and development practices Write great code and help others write great code  Requirements  Bachelor's degree in Computer Science/Information Systems/Engineering/related field or relevant experience Strong coding ability in Scala, Java, C/C++, C#, or Python Experience or willingness to learn Scala/Spark/Kafka and related technologies (if not already known) Able to quickly and effectively read code Good understanding of algorithms and data structures Ability to separate hype from reality  Bonuses  Any experience with ‘Big Data’ technologies / tools Strong experience in JVM languages (Java / Scala in particular) Experience working with Lambda Architectures Experience working with open source products Working in an agile environment using test driven methodologies. Experience using Git  A few of the technologies we use Scala, Spark, Impala, Kafka, Monix, Play, Couchbase, RabbitMQ, Spray, Hadoop, Kibana, ElasticSearch, Yarn, Akka, Sensu, Redis, Python, Cassandra, Postgres, OpenStack, Logstash, Vertica, Grafana, Go. We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates"
183,9cb653102a79db1cd96317b0421506cd,https://www.mycareersfuture.sg/job/software-developer-mangosteen-bcc-9cb653102a79db1cd96317b0421506cd,Software Developer,Full Time,MANGOSTEEN BCC PTE. LTD.,"EON SHENTON, 70 SHENTON WAY 079118",Non-executive,Information Technology,5000,9000,Monthly,10 Jan 2019,0,0,0,0,"The Company Bambu is a Fintech startup which specialises in providing Robo-Advisory solutions for banks, insurance companies and non-financial industries like Telcos & E-Commerce. Leveraging on deep learning technologies, we believe that we can change the way people save, invest and manage their wealth. We are a fast-growing startup based in Singapore and Hong Kong. Founded in 2016, we have raised funding from the likes of Franklin Templeton and Wavemaker, achieved a global network of prospects and established clients like Standard Chartered and Thomson Reuters. We launched Singapore’s first Robo-Advisory platform for Crossbridge Capital, a global wealth management firm. We have attained multiple accolades. We won the Best Early Stage Startup at Fintech Finals 2017and the Best Show Award in FinovateAsia 2017 for our innovative machine learning People Like Me. We are also Alumni of SuperCharger 2.0 Accelerator program and top 24 finalists at Jumpstart organised by Alibaba Entrepreneurs Fund. Job Descriptions Do you enjoy building great products using Node.JS, Python and REACT? Do you keep scalability and security in mind when designing and developing your code? Are you well organised and deliver under tight deadlines? Are you looking to join a young, dynamic and collaborative environment? If so, we are interested in talking to you. Bambu is a B2B technology start up. We build web-based robo-advisory platform for financial and non-financial institutions. We are looking for a strong developer with expertise in Python, Node.JS and REACT to work with our data scientists to code and optimize their algorithms and with our technology team to build and maintain our back end.  Your key responsibilities will be to:   Program and optimize the algorithms designed by our data scientists   Develop and maintain the back end of our solutions   Work on the integration of third-party systems   Build rapid prototypes to support our sales   Build robust front ends for our clients   Create new libraries that can be reused across multiple projects   Work closely with the lead designer to determine technical feasibility of projects   Develop new creative ideas   ","  Extensive experience using Python to code algorithms and optimising them   Strong Javascript (Node.JS), HTML and CSS experience   Strong experience building web applications and native mobile apps using REACT   Good mathematical background   Good experience with PostgreSql, AngularJS   Ability to multitask, meet deadlines, and work in a fast-paced environment   Experience with software engineering and architectural patterns   Knowledge of CSS preprocessors (SASS,LESS) will be a plus   Knowledge of design tools like Photoshop/Sketch will be a plus   Familiar with Task runners (gulp/grunt) & Dependency Management Tools(npm/bower)    Understanding of front-end web technologies to interact with front end developers   Security and data protection   Ability to manage a hosting environment, including database administration as well as scaling applications to handle load changes   Familiarity with cloud based deployment (AWS)   "
184,fd37bdd51089e936868d841b3e24a536,https://www.mycareersfuture.sg/job/business-analyst-mangosteen-bcc-fd37bdd51089e936868d841b3e24a536,Business Analyst,Full Time,MANGOSTEEN BCC PTE. LTD.,"EON SHENTON, 70 SHENTON WAY 079118",Executive,"Banking and Finance, Information Technology",5000,8000,Monthly,10 Jan 2019,0,0,0,0,"BAMBU is a FinTech startup, who specializes in providing Robo-Advisory solutions for banks, insurance companies to non-financial industries like Telcos & Ecommerce. Leveraging on machine learning, we believe we can change the way people save, invest and manage their wealth. We have been rapidly expanding and in a short span of two years, have clinched 10 clients across ASEAN, EMEA, and US. We were chosen as the best startup for Fintech final 2017 as well as Fintech of the Year by The Asset Awards 2017. Here at BAMBU, we believe wealth management should be made easily accessible, through delivering great products that provide beautiful user journeys and experiences. We don’t just want to make it simpler, we want to redefine the entire way wealth services are delivered. We are looking for a Business Analyst who shares the same passion with us. You will be at forefront of the implementation of our technology, communication with our clients and ensuring our cutting-edge products are being delivered. You should be a multidisciplinary person who can speak both tech and business language. Key Responsibilities:  Work closely with our development team to determine the requirements of a project or program, and communicating them clearly to stakeholders, facilitators and partners. Implement advanced strategies for gathering, reviewing and analyzing data requirements Convert client requirements into business logic  Conduct various requirements workshop to ensure smooth delivery Working with stakeholders at all levels as defined by the individuals project Assisting with integration and acceptance testing Providing support during and post implementation Ensure smooth communication with our client by acting as a ‘translator’ between business and IT Testing of APIs from external software providers  ", Excellent interpersonal and communication skills – written and verbal  Experience working directly with customers   Experience working in a startup environment Experience with agile software delivery Experience with software-as-a-service and API-based business models   Understanding of microservice architecture Banking Experience in Wealth Management/ Group Technology and Operations preferred  Javascript or Python experience preferred 
185,6aef20b51c57b8bdeceb7327cbd30d8f,https://www.mycareersfuture.sg/job/test-engineer-mangosteen-bcc-6aef20b51c57b8bdeceb7327cbd30d8f,Test Engineer,Full Time,MANGOSTEEN BCC PTE. LTD.,"EON SHENTON, 70 SHENTON WAY 079118",Executive,Information Technology,7000,10000,Monthly,10 Jan 2019,0,0,0,0,"BAMBU is a FinTech startup, who specializes in providing Robo-Advisory solutions for banks, insurance companies to non-financial industries like Telcos & Ecommerce. Leveraging on machine learning, we believe we can change the way people save, invest and manage their wealth. We have been rapidly expanding and in a short span of two years, have clinched 10 clients across ASEAN, EMEA, and US. We were chosen as the best startup for Fintech final 2017 as well as Fintech of the Year by The Asset Awards 2017. Here at BAMBU, we believe wealth management should be made easily accessible, through delivering great products that provide beautiful user journeys and experiences. We don’t just want to make it simpler, we want to redefine the entire way wealth services are delivered. We are seeking an energetic, talented, and motivated individual for the role of Test Automation Engineer on a significant project. Below are the roles & responsibilities.  Design, develop, and maintain automated testing process, framework & scripts for banking applications Work closely with development, business, and functional testing team to identify critical business scenarios for automation to achieve maximum ROI Able to quantify and estimate automation activities Write automation test cases for Web, API and mobile environment using Cucumber, Selenium Webdriver and Java Work closely with functional team to prepare standard Gherkin files as an input to automation process Responsible for execution and maintaining automation test pack Setup automated regression test runs using continuous integration approach Ownership of automation code base at the central repository Raise concerns and suggestions for betterment and improvement of day to day tasks to help delivery Communications to stake holders for outages/ releases/ updates on tasks Support to establish automation testing standards and best practices Communicate test progress to the test manager on daily basis Able to guide and mentor cross team members to write and execute automation test cases    ","Mandatory Skills  5 to 7 years of experience in designing and implementing Automation Testing Strategies and Framework for large scale systems Good understanding of Core Java, TDD/BDD and test automation frameworks  Must have worked extensively on Selenium Webdriver using Java   Rich experience in creating automated test cases for both Web and Mobile applications   Hands-on experience on REST services automation   Expertise in build & CI tools like Jenkins, Ant and Maven   Good working experience on Issues/Tasks management tools like JIRA   Good knowledge on version control tools like Git, Github, Stash or similar tools   Good understanding of database concepts. Able to write SQL queries     Work with the software development teams to build continuous test environments and to make application more testable   Must possess excellent communication skills, both written and verbal  Experience in an agile development environment highly desired.  Desirable and Behavioral Skills  Banking domain knowledge Experience in performance test automation will be an added advantage • Good understanding of DevOps model Ability to learn new techniques and technologies quickly Possess good analytical skills and aptitude  "
186,6496c73f58081f90a3b3faf6884b4196,https://www.mycareersfuture.sg/job/lead-data-scientist-capital-match-platform-6496c73f58081f90a3b3faf6884b4196,Lead Data Scientist,"Permanent, Full Time",CAPITAL MATCH PLATFORM PTE. LTD.,70B TRAS STREET 079009,Senior Executive,"Banking and Finance, Engineering, Others",5000,10000,Monthly,10 Jan 2019,0,0,0,1,"WHO WE ARE Capital Match (www.capital-match.com) is the largest marketplace invoice financing platform in Southeast Asia based in Singapore. We are an innovative fintech business with a range of financial solutions to SMEs and investors. We have funded more than US$80 million in Singapore over the past 3 years. We are funded by multiple VCs and institutional investors including Dymon Asia Capital, an alternative asset manager with $6bn AUM and Eduardo Saverin's B Capital Group. THE ROLE Capital Match is looking for a Lead Data Scientist who will bring impact to every stage of our work flow including customer acquisition, operational automation, risk and underwriting, portfolio servicing, marketing and product development. We are looking for a top performer to join our team in Singapore and build a leading fintech business in Southeast Asia. The Lead Data Scientist will be working with functional teams in every major area (sales, credit, tech, and product) and this would be a cross-functional role improving decision making processes and outcomes across the company. OUR PLATFORM Our platform is primarily developed in Haskell with a ClojureScript frontend. We use Docker containers, Nix and standard cloud infrastructure systems to manage our production rollouts. We use continuous testing, integration and deployment wherever possible. RESPONSIBILITIES  Utilize big data and machine learning to build predictive models including but not limited to customer acquisition, credit risk, fraud, marketing, etc. Evaluate available data sources and propose strategic acquisition or creation of new data sources to assist ongoing problem resolution.   Work with multiple, complex data sources (financial, psychometric and transactional etc.) at large scale. Perform thorough testing and validation of models and support various aspects of the business with data analytics. Identify new data sources/patterns that add significant lift to predictive modelling capabilities. ","QUALIFICATIONS  Minimum 3-5 years of coding, machine learning and large-scale data analysis experience. Past experience in credit risk technology and providing solutions for financial institutions would be highly valuable. Background in fintech, credit risk and/or especially lending/invoice financing space would be a great advantage. Minimum exposure to and understanding of XP practices (TDD, CI, Emergent Design, Refactoring, Peer review and programming, Continuous improvement) is expected. Familiarity with Linux systems and command-line environment would be helpful to perform well in this role. An individual who is eager to use data to come up with new ideas to improve decisions, who is driven by making impact through actionable insights and improvements, and who is not afraid to take risks and try new things. Willing to be based in Singapore.  WHAT WE OFFER  Salary of SGD 5,000-10,000/month (depending on experience and qualifications). Equity options for outstanding candidates. "
187,f33ad2295413c46e5c828624e30deafb,https://www.mycareersfuture.sg/job/vp-machine-learning-lead-group-legal-compliance-secretariat-dbs-bank-f33ad2295413c46e5c828624e30deafb,"VP, Machine Learning Lead, Group Legal, Compliance & Secretariat (180004ZV)","Permanent, Full Time",DBS BANK LTD.,,Manager,Banking and Finance,10400,18700,Monthly,09 Jan 2019,0,0,0,1,"Business Function  Group Legal, Compliance & Secretariat ensures that the bank's interests are protected by zealously guarding and enhancing its reputation and capital. We also work to maintain a good standing with all our regulators, customers, and business partners. Because we believe that at the heart of business banking is to uphold the values of trust and integrity for all our stakeholders.  Responsibilities   Develop, manage and deliver the relevant analytic models and solutions as part of the Analytics and Innovation function at LCS.  Manage a team of data science professionals responsible for developing and supporting in-house or vendor solutions.  Posses good technical competency to perform advanced analytics and data science with programming tools (such as Python, R, SAS), experience performing analysis with large datasets as well as implementing supervised and unsupervised learning algorithms.  Possess the ability to condense analysis into actionable insights to inform decision making, develop strategy and standards for enhancing business performance and operations at LCS.  Provide effective technical and career development guidance to junior data scientists.  Drive and support the engagement with key stakeholders in matters relating to machine learning and analytics for LCS. Partner with relevant Big Data, AI/ML vendors to supplement the open-sourced and in-house solutions as deemed relevant. "," Bachelor/Master/PhD in Statistics, Mathematics or Computer Science.  At least 6 years of relevant experience in the space of data science, data engineering and machine learning.  Good experience in managing analytics teams across technology/business functions.  Ability to drive a culture of learning and development as well as data-driven spirit across the division. Good track record developing innovative solutions to business challenges. "
188,fa9b0f632c8dd532ad855f97892cca56,https://www.mycareersfuture.sg/job/senior-principal-researcher-underground-geospatial-singapore-land-authority-fa9b0f632c8dd532ad855f97892cca56,"Senior / Principal Researcher, Underground Geospatial",Full Time,Singapore Land Authority,"REVENUE HOUSE, 55 NEWTON ROAD 307987",Executive,"Information Technology, Public / Civil Service",3500,6800,Monthly,09 Jan 2019,0,0,0,0,"Senior/Principal Researcher, Underground Geospatial
Job Scope:

Research and experiment emerging geospatial technologies (such as automated change detection, spatial-temporal analysis, machine learning algorithms), in collaboration with other agencies or technology/research institutions.
Conceptualise and formulate high-level strategies, design system architectures and develop technical standards required for the integration and use of (2D and 3D) above-ground and underground geospatial information.
Build, code, and test geospatial technologies and algorithms (including data acquisition, data integration, modelling visualisation, and analytics).

Requirements:

Degree or Masters preferably in the areas of GeoSpatial Science/Technology, Computer Science, Software Engineering, or equivalent.
At least 3 years of working experience in geospatial information science and technology or related fields.
Proficient knowledge in GIS, geospatial data modelling, and geodatabase management, and open standards
Knowledge in machine learning and change detection techniques, remote sensing, application development will be an added advantage.
Strong communication and interpersonal skills, problem-solving skills, and the ability to work in a team.

 
 ",None
189,e6f0580e337e2ac87233008afd07d02b,https://www.mycareersfuture.sg/job/vp-data-scientist-business-analytics-consumer-banking-group-dbs-bank-e6f0580e337e2ac87233008afd07d02b,"VP, Data Scientist, Business Analytics, Consumer Banking Group (180004XI)",Full Time,DBS BANK LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Senior Management,Information Technology,10400,18700,Monthly,09 Jan 2019,0,0,0,0,"Business Function  As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage. Our financial solutions are not only the best in the business – they were made just right for you.    About this role    The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.   Responsibilities     Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc. Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more. Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region Help the team with methodology and guidance in the areas of experiment design and data analysis. "," Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background. 6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results  At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models. Good understanding of technology tools especially those related to analytics, data & statistical modelling.  Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.  Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc.. Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful. Ability to communicate complex analysis/models across a diverse team. Good written and oral communication skills "
190,cd3b4e7b27b76be0d4d47bf766fc1b70,https://www.mycareersfuture.sg/job/svp-data-scientist-business-analytics-consumer-banking-group-dbs-bank-cd3b4e7b27b76be0d4d47bf766fc1b70,"SVP, Data Scientist, Business Analytics, Consumer Banking Group (180004XI)",Full Time,DBS BANK LTD.,"MARINA BAY FINANCIAL CENTRE, 12 MARINA BOULEVARD 018982",Senior Management,Information Technology,10000,20000,Monthly,09 Jan 2019,0,0,0,0,"Business Function  As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage. Our financial solutions are not only the best in the business – they were made just right for you.    About this role    The Regional Data Science team is part of the Regional Business Analytics team for Consumer Banking Group. Our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to increase the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis.   Responsibilities     Involve in building cutting edge algorithms and working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and will have mastery in any number of analytic platforms like SAS, SQL, Python, R. etc. Work with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more. Work alongside BA Leadership, making regular presentation to senior management including C-level executives within the Consumer Bank Leadership across the region Help the team with methodology and guidance in the areas of experiment design and data analysis. "," Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background. 6-10 years of experience in industry (ideally consumer banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results  At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models. Good understanding of technology tools especially those related to analytics, data & statistical modelling.  Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark, Tensorflow or other statistical programing software.  Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc.. Knowledge of internet marketing data collection and metrics as well as familiarity with digital analytics platforms like Google Adwords, Facebook Contextual marketing, Omniture/Adobe, Mediaplex, etc would be helpful. Ability to communicate complex analysis/models across a diverse team. Good written and oral communication skills "
191,2838cb7a68b70d92acb5e1fdb551d86c,https://www.mycareersfuture.sg/job/senior-supply-logistics-analyst-dyson-operations-2838cb7a68b70d92acb5e1fdb551d86c,Senior Supply & Logistics Analyst,Permanent,DYSON OPERATIONS PTE. LTD.,"ASCENT, 2 SCIENCE PARK DRIVE 118222",Senior Executive,Logistics / Supply Chain,5000,6500,Monthly,09 Jan 2019,0,0,0,1,"Reporting to the Global IBP Process Lead, the Senior Planning Analyst will drive the data analytics of the global planning data. Supported by the planning systems, he/she will focus on demand trends, range patterns, SKU patterns and product cannibalisation to improve the predictability of the business. This person supports key business decisions in regards to Demand Forecasting, New Product Launch Planning, Range Planning and Sku mix optimisation. The ideal candidate has excellent analytical skills, a passion for crunching data to support business strategies and experience within (supply chain) planning environment. Key accountabilities:  Responsible sales forecasting based on statistical models and machine learning. Creating demand models based on business insights research & sales analysis. Partner with Commercial on quantitative patterns of promotions, seasonality and events. Partner with Finance on establishing an integrated financial business forecasting. Integrate demand signals and their quantitative effect on the overall sales forecast. Determine and implement external influencers into a holistic forecasting model using machine learning or AI.     ","Requirements:  A proven track record with at least 3 years of relevant analytics work. Strong Academic record: Degree in Mathematics, Computer science, or Engineering. Strong knowledge in statistical modelling whereby experience in machine learning will be a plus. Ability to translate sales data to understandable trends and market patterns. Understanding and working knowledge of supply chain planning would be a plus. Demonstrate flexibility and resilience and respond constructively to new demands and challenges. Excellent communication and presentation skills. "
192,0b7407938b24028bad5bf810f9c1238a,https://www.mycareersfuture.sg/job/vp-senior-data-scientist-regional-consumer-banking-operations-technology-operations-dbs-bank-0b7407938b24028bad5bf810f9c1238a,"VP, Senior Data Scientist, Regional Consumer Banking Operations, Technology & Operations (18000449)","Permanent, Full Time",DBS BANK LTD.,,"Middle Management, Manager",Banking and Finance,10400,18700,Monthly,09 Jan 2019,0,0,0,1,"Business Function   Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.   Responsibilities  Development and solutioning of real time predictive analytics to derive actionable insights to intervene positively into the customer’s digital journey Perform full life-cycle of Data Scientist / Analyst activities, including conceptualization to operationalization Primary focus will be in applying data science to solve business problems; doing statistical analysis, building high-quality prediction systems, and use deep learning techniques Able to understand and solve the business problem by translating into a data model and building insights into an actionable outcome Collaborate with cross-functional business teams to deliver high-impact insights using analytics across a variety of customer servicing areas Research, design, implement and validate models / algorithms to analyse diverse sources of data to achieve targeted outcomes Carry out customer behaviour analytics and deliver actionable insights in real time; through behaviour segmentation, predictive modelling, lifetime value modelling, churn prevention, statistical simulations and what if scenarios Stay on top of current industry trends on machine learning/AI "," You are: Curious and have a strong appetite for intellectual challenges. Able to pick up new methods and techniques quickly and apply towards solving a problem at hand You excel at making complex concepts simple and easy to understand by those around you. You’re driven to show the world the power of applied analytics Passionate about asking and answering questions in large datasets, and you can communicate that passion to product managers and engineers Attracted to a fast paced, hypothesis and test driven, collaborative and iterative engineering environment Driven, strategically focused, self-starter and organized with strong attention to detail A good team player with excellent communication skills  You have:  A university degree or higher in applied statistics/ data science/ Computing or related quantitative discipline, with a strong background in statistical concepts Proven track record of big data analytics and delivering impact to the business Deep and practical understanding on implementing high performance, well-behaved analytics applications; data ingestion, feature engineering, model selection, training, validating and deployment A deep understanding of statistical and predictive modelling concepts, machine-learning, deep learning models and NLP Excellent hands-on experience in  	 Python, Pyspark, Spark SQL/mysql  Hadoop eco-system (Hive, HDFS, Pig etc.) End to end data science workflow, starting from data extraction, wrangling, modelling and deployment in production environment    Familiarity with Linux based operating system Familiarity with data engineering pipelines Knowledge of software development life cycle preferred Experience creating real time and rich data visualizations that involves large datasets Experience manipulating structured and unstructured data sources for analysis "
193,73a2d7f07122333ccce0148c89199528,https://www.mycareersfuture.sg/job/senior-backend-engineer-tectus-dreamlab-73a2d7f07122333ccce0148c89199528,Senior Backend Engineer,Permanent,TECTUS DREAMLAB PTE. LTD.,,Middle Management,Information Technology,5000,7000,Monthly,09 Jan 2019,0,0,0,1,"The Tectus Dreamlab team pioneers the development of cutting-edge cross-platform apps in the engineering and construction sector. The flagship product, “Screening Eagle” Virtual Inspection Platform, is a holistic portal for asset monitoring, maintenance and inspection. The engineers are spread across iOS, web frontend, backend, AR/VR, 3D rendering, computer vision and machine learning. You’ll be part of a small and highly talented team of people working end-to-end on the products. Our primary backend stack is Go, but it’s ok if you don’t have direct experience with it because we believe strongly that a good engineer can pick up any language in short time. We rapidly adopt emerging best-of-breed technologies, like Docker, Kubernetes, Ansible, Terraform and React/Redux, to name few. Responsibilities  Take ownership of the backend tasks and work closely with the development teams; Design and implement the business logic through strategic choice of data structure and algorithms; Develop, test, document and deploy web APIs, batch jobs, webhooks, or integrations based on the business requirements; Emphasise heavily on code testing and designing for testability; Continuously document design decisions; Adopt best dev-ops/tech-ops practices and make continuous automated testing, releases and deployments; Offer mentorship to junior developers in the team. ","Required Qualifications  BS in Computer Science or equivalent practical experience; Strong programming skills, solid data structure and algorithm fundamentals; At least 4 years of practical backend development for real-world products in any language/framework, preferably in Go. Experience in SQL databases, writing schemas and designing high performance queries; Experience in in-memory key-value database like Redis; Deep technical understanding of scalability, resilience, high availability and the corresponding architecture, technologies and designs; Experience with dev-ops/tech-ops, like Jenkins, Ansible, Terraform, to name a few; Familiar with AWS services and related cloud technologies; Experience in Containerization and Orchestration technologies like Docker and Kubernetes; Strong troubleshooting and debugging skills; Self-motivated and willing to learn new technologies continuously; Embrace the open source community. "
194,d3880ec5f16bf7fd9c0f98d690b8a961,https://www.mycareersfuture.sg/job/senior-business-intelligence-analyst-zalora-south-east-asia-d3880ec5f16bf7fd9c0f98d690b8a961,Senior Business Intelligence Analyst,"Permanent, Full Time",ZALORA SOUTH EAST ASIA PTE. LTD.,"KEPPEL TOWERS, 10 HOE CHIANG ROAD 089315",Professional,Others,4000,7000,Monthly,09 Jan 2019,0,0,0,1,"In this role, the Senior Business Intelligence Analyst serves as the primary bridge through the business to communicate high value information to support data-driven decision-making. He/she will continuously evolve management reporting, conduct complex data analysis and deliver business insights in an environment of rapid growth and increasing complexity. The successful candidate must be able to roll-up his/her sleeves, and work directly with large datasets and BI tools to solve challenging problems. He/she will be passionate about their work, detail-oriented, highly analytical and have excellent problem-solving skills.  Job Responsibilities:   Participate in the full lifecycle of an analytics or BI project: from gathering and understanding the end-user needs to implement a fully automated solution. Develop and provision of BI reporting through the deployment of self-service reports and dashboards Engages with business users (Commercial, Supply Chain, Finance, Marketing or etc) as well as maintain a client relationship with data warehouse. Deploy Machine learning techniques to answer the appropriate business questions using R or Python. Visualize data using Tableau and create repeatable visual analysis for end users to use as tools. Take ownership of the existing BI platforms and maintain the data integrity and accuracy of the numbers and data sources. Know Agile - Scrum project management experience/knowledge - Ability to prioritise, pushback and effectively manage a product and sprint backlog. "," Minimum Bachelor’s degree in a quantitative field is required (engineering or economics) 3+ years of experience in business intelligence or any data analysis related role. Experience with Tableau, PowerBI or any standard data visualization tools. Proficiency with at least one scripting language (Python or R) is required. Should be comfortable in writing SQL queries to extract data for data analysis. Exhibits sound business judgment, a proven ability to influence others, strong analytical skills, and a proven track record of taking ownership, leading data-driven analyses, and influencing results Exposure to Advanced Analytics techniques for forecasting, regression and other basic machine learning techniques Ecommerce / logistics / fashion retail background a bonus. Experience in Marketing Analytics and Attribution Modelling is a bonus. "
195,27713c736c722a85530e3cf78c50ba2c,https://www.mycareersfuture.sg/job/data-scientist-manpower-staffing-services-27713c736c722a85530e3cf78c50ba2c,Data Scientist,Permanent,MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD,"GUOCO TOWER, 1 WALLICH STREET 078881",Executive,Information Technology,6000,8000,Monthly,09 Jan 2019,0,0,0,1," Work closely with your business to identify issues and use data to propose solutions for effective decision making Merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation Maintain clear and coherent communication, both verbal and written, to understand data needs and report results Use machine learning tools and statistical techniques to produce solutions to problems Create clear reports that tell compelling stories about how customers or clients work with the business Horizon scan to stay up to date with latest technology, techniques and methods Conduct research from which you'll develop prototypes and proof of concepts Look for opportunities to use insights/datasets/code/models across other functions in the organisation (for example in the HR and marketing departments) Carrying out and attaining the mission and the goals of the Innovation lab managed. Assign employees to take responsibility for their jobs and goals. Delegate responsibility and expect accountability and regular feedback Able to engage with client and demonstrate present technologies Manage relationships between different business groups directly involved with Digital Labs. "," Experience in advanced statistical modelling and machine learning methods to develop robust predictive models Experience in working with large unstructured data sets and distributed computing tools (e.g. Spark, Hadoop, Hive, etc.); leading platforms (e.g. SAS, Tableau, Qlik) Experience with enterprise databases, in traditional and alternative database technologies (SQL and NoSQL) Hacking skills (ability to quickly prototype solutions for diverse needs) Data manipulation – comfortable handling multiple data types across varying frequencies and complexities as well as familiar in feature selection and transformation Fluency in Python, C++, R and/or other similar languages Adept in data visualization Ability to work in a challenging environment and is creative in coming up with solutions to solve complex problems    Interested candidates can click apply for more information. ** We regret to inform that only shortlisted candidates will be notified. ** We respect your privacy and all communication will be treated with confidentiality.  If you wish to know more about this position or explore other roles, please prepare your updated profile and get in touch with our consultants. Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by Manpower for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012.  "
196,e510af32b3e90e8b5e107232940083e0,https://www.mycareersfuture.sg/job/recommendation-system-algorithm-engineer-bigo-technology-e510af32b3e90e8b5e107232940083e0,Recommendation System Algorithm Engineer,Full Time,BIGO TECHNOLOGY PTE. LTD.,"NGEE ANN CITY, 391B ORCHARD ROAD 238874",Senior Executive,Information Technology,6000,12000,Monthly,09 Jan 2019,0,0,0,0,"  1．Design & implement recommendation engine, promote & verify the performance of recommendation algorithms. 2． Apply machine learning algorithms to design and improve user models, content models and feature systems for business scenarios.              3． Research and optimize and research of Feature Engineering, CTR prediction, ranking and other algorithms, improve product experience and business value.  ","1. Master's or doctorate degree in computer science, mathematics or related field.         2. More than 2 years working experience in machine learning field.         3. Skilled in C/C++, Java python or other programming languages 4. Master commonly used recommendation algorithms and machine learning algorithms, such as collaborative filtering, logistic regression, GBDT etc., which have the experience of recommending, advertising, or search algorithms.             5. Excellent communication skills and teamwork skills. 6. Doctorate degree in machine learning, Natural Language Processing or related field is preferred"
197,caa0fab03a6568f57b13cafd9b6b0188,https://www.mycareersfuture.sg/job/vp-data-scientist-investment-trading-technology-technology-operations-dbs-bank-caa0fab03a6568f57b13cafd9b6b0188,"VP, Data Scientist, Investment and Trading Technology, Technology and Operations (180002YF)","Permanent, Full Time",DBS BANK LTD.,,Manager,Banking and Finance,10400,18700,Monthly,09 Jan 2019,0,0,0,1,"Business Function  Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.  Responsibilities  Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner "," Excellent understanding of machine learning techniques and algorithms; pattern recognition and predictive modeling skills to address business problems Undertaking data collection, preprocessing and analysis of structured and unstructured data Experience with common data science toolkits, such as R, Python. Experience with programming languages such as Java an asset.  Proficiency in using query languages such as SQL, Hive, Pig. Being able to use Spark is an added advantage Experience with NoSQL databases, such as MongoDB, Cassandra, HBase  Communicate results and ideas to key decision makers  Experience with data visualization tools such as Qlik or any other open source visualization tools. Good to have treasury & market product knowledge as well Good applied statistics skills such as distributions, statistical testing, regression, etc. Good scripting and programming skills  Data-oriented personality with problem-solving aptitude Master’s Degree in Computer Science, Statistics, Applied Math or related field 4+ years of hands-on analytics and / or model development. "
198,9f5a73903e89e25491158e75e3515786,https://www.mycareersfuture.sg/job/avp-data-scientist-investment-trading-technology-technology-operations-dbs-bank-9f5a73903e89e25491158e75e3515786,"AVP, Data Scientist, Investment and Trading Technology, Technology and Operations (180002YF)","Permanent, Full Time",DBS BANK LTD.,,Manager,Banking and Finance,6500,11700,Monthly,09 Jan 2019,0,0,0,1,"Business Function  Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.  Responsibilities  Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner "," Excellent understanding of machine learning techniques and algorithms; pattern recognition and predictive modeling skills to address business problems Undertaking data collection, preprocessing and analysis of structured and unstructured data Experience with common data science toolkits, such as R, Python. Experience with programming languages such as Java an asset.  Proficiency in using query languages such as SQL, Hive, Pig. Being able to use Spark is an added advantage Experience with NoSQL databases, such as MongoDB, Cassandra, HBase  Communicate results and ideas to key decision makers  Experience with data visualization tools such as Qlik or any other open source visualization tools. Good to have treasury & market product knowledge as well Good applied statistics skills such as distributions, statistical testing, regression, etc. Good scripting and programming skills  Data-oriented personality with problem-solving aptitude Master’s Degree in Computer Science, Statistics, Applied Math or related field 4+ years of hands-on analytics and / or model development. "
199,3c8b0c28a9ada582b8ff658a49d45db6,https://www.mycareersfuture.sg/job/senior-business-intelligence-analyst-zalora-south-east-asia-3c8b0c28a9ada582b8ff658a49d45db6,Senior Business Intelligence Analyst,"Permanent, Full Time",ZALORA SOUTH EAST ASIA PTE. LTD.,"KEPPEL TOWERS, 10 HOE CHIANG ROAD 089315",Professional,"Logistics / Supply Chain, Others",5000,7000,Monthly,09 Jan 2019,0,0,0,1,"In this role, the Senior Business Intelligence Analyst serves as the primary bridge through the business to communicate high value information to support data-driven decision-making. He/she will continuously evolve management reporting, conduct complex data analysis and deliver business insights in an environment of rapid growth and increasing complexity. The successful candidate must be able to roll-up his/her sleeves, and work directly with large datasets and BI tools to solve challenging problems. He/she will be passionate about their work, detail-oriented, highly analytical and have excellent problem-solving skills.  Job Responsibilities:     Participate in the full lifecycle of an analytics or BI project: from gathering and understanding the end-user needs to implement a fully automated solution. Develop and provision of BI reporting through the deployment of self-service reports and dashboards Engages with business users (Commercial, Supply Chain, Finance, Marketing or etc) as well as maintain a client relationship with data warehouse. Deploy Machine learning techniques to answer the appropriate business questions using R or Python. Visualize data using Tableau and create repeatable visual analysis for end users to use as tools. Take ownership of the existing BI platforms and maintain the data integrity and accuracy of the numbers and data sources. Know Agile - Scrum project management experience/knowledge - Ability to prioritise, pushback and effectively manage a product and sprint backlog. "," Minimum Bachelor’s degree in a quantitative field is required (engineering or economics) 3+ years of experience in business intelligence or any data analysis related role. Experience with Tableau, PowerBI or any standard data visualization tools. Proficiency with at least one scripting language (Python or R) is required. Should be comfortable in writing SQL queries to extract data for data analysis. Exhibits sound business judgment, a proven ability to influence others, strong analytical skills, and a proven track record of taking ownership, leading data-driven analyses, and influencing results Exposure to Advanced Analytics techniques for forecasting, regression and other basic machine learning techniques Ecommerce / logistics / fashion retail background a bonus. Experience in Marketing Analytics and Attribution Modelling is a bonus. "
200,cb7271da6bec8cfefa49c74f9184a096,https://www.mycareersfuture.sg/job/data-engineer-machine-learning-engineer-oneconnect-financial-technology-cb7271da6bec8cfefa49c74f9184a096,Data Engineer / Machine Learning Engineer,Permanent,ONECONNECT FINANCIAL TECHNOLOGY (SINGAPORE) CO. PTE. LTD.,"ONE RAFFLES PLACE, 1 RAFFLES PLACE 048616",Professional,Engineering,3000,4000,,08 Jan 2019,0,0,0,1,"As a data/Machine learning engineer, your primary goal is to work with data scientist and software developers to implement and deploy machine learning algorithms driven data solutions in commercial environment. You’ll work with data scientist to build specialized tools to facilitate data preprocessing, data quality check, data cleansing, ETL and data integration. You’ll work with backend and frontend app-dev team to implement high performance machine learning algorithms on commercial enterprise software platform. Key requirement:  Advanced degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, or related technical fields. Minimum 2 years relevant experience. Proficiency in a high performance programming language such as Java/C++. Good working knowledge in a scripting language such as Python/R. Experience implementing algorithms in big data/cloud computing environment. Experience in solving real-world data challenges and dealing with anomalies. Good knowledge working with relational database and NoSQL database Good communication skills ","Preferred requirement:  Experience building labeled datasets from scratch, or developing tools protocol formalizing unstructured unlabeled data. Experience handling high-volume real-time data stream Experience building complete data pipeline, ingesting data from multiple source systems (potentially asynchronous and different rate) Experience building large scale parallel/distributed data processing, machine learning solutions Experience building robust and high-throughput API for analytics-as-a-service solutions Experience working with enterprise app engine technology such as cloud computing, container technology for high availability and robust deployment. "
201,2e6aae912518b81dd15fc56e0ef10643,https://www.mycareersfuture.sg/job/machine-learning-techcom-solutions-asia-pacific-2e6aae912518b81dd15fc56e0ef10643,Machine Learning,"Contract, Full Time",TECHCOM SOLUTIONS ASIA PACIFIC PTE. LTD.,"SHENTON HOUSE, 3 SHENTON WAY 068805",Professional,Information Technology,5500,6500,Monthly,08 Jan 2019,1,0,0,0," Software Development Machine Learning / Deep Learning NLP for large text corpora Data engineering (pipelines, data wrangling / transformation) Experience programming in Python, R, Java, or Scala Good communication and should be able to handle team at offshore.   Machine Learning / Deep Learning   NLP for large text corpora   Experience programming in Python, R, Java, or Scala "," Software Development Machine Learning / Deep Learning NLP for large text corpora Data engineering (pipelines, data wrangling / transformation) Experience programming in Python, R, Java, or Scala Good communication and should be able to handle team at offshore.   Machine Learning / Deep Learning   NLP for large text corpora   Experience programming in Python, R, Java, or Scala "
202,5c585bed369ce6bbe280d26275146bb3,https://www.mycareersfuture.sg/job/school-infocomm-project-staff-republic-polytechnic-5c585bed369ce6bbe280d26275146bb3,School of Infocomm - Project Staff,Contract,Republic Polytechnic,9 WOODLANDS AVENUE 9 738964,Unknown,"Education and Training, Public / Civil Service",,,Monthly,08 Jan 2019,1,0,0,0,"Job Description We are looking for a capable and responsible individual to work on a R&D project for virtual customer service. You will take on an active role in designing and developing Chatbot software using machine learning and deep reinforcement learning algorithms. You will also work closely with senior staff in designing and developing software modules for system prototyping. You should possess good oral and written skills along with a high degree of self-motivation and ability to work effectively in a team environment.  The successful candidate will be placed on an 18-months contract. Job Requirements • Qualification in Computer Science, Computing or Computer Engineering or its related disciplines• Strong understanding of a wide variety of computer science topics including, but not limited to any of the following:  - computer algorithms  - conversation flow  - neural networks  - machine learning  - deep learning   - speech recognition• Demonstrated skills in Python programming, with some knowledge of iOS and/or Android app development• Able to communicate in good spoken and written English, and a good team player• Highly self-motivated and willing to learn new technology• Candidates without experience are welcomed to apply  ",None
203,8547ce77e5070ab75ce4ab45584121b3,https://www.mycareersfuture.sg/job/research-fellow-postdoctoral-fellow-research-associate-research-assistant-national-university-singapore-8547ce77e5070ab75ce4ab45584121b3,"Research Fellow / Postdoctoral Fellow, Research Associate and Research Assistant",Contract,NATIONAL UNIVERSITY OF SINGAPORE,21 LOWER KENT RIDGE ROAD 119077,Professional,Sciences / Laboratory / R&D,3000,5000,Monthly,08 Jan 2019,1,0,0,0,"Research Fellow/Postdoctoral Fellow, Research Associate and Research Assistant  For “Healthcare Artificial Intelligence and Data Analytics” The above positions are now available to support the Principal Investigator, Assistant Professor Feng Mengling, for his research in the areas of healthcare data analytics and AI solutions.   Dr. Mengling Feng (http://web.mit.edu/mfeng/www/) is truly a cross-disciplinary scientists, who is currently a faculty member of the School of Public Health, School of Computing and School of Medicine, National University of Singapore (NUS). He is also the Senior Assistant Director working directly with the Chief Technology Officer (CTO) and Chief Medical Information Officer (CMIO) at National University Hospital (NUH). Dr. Feng is also an affiliated scientist with MIT. His research is to develop effective data analysis and machine learning methods to extract actionable knowledge from medical big data to improve the quality of care. Dr. Feng’s work was recognized by both well-established journals, such as Science Translational Medicine, and top international conferences, such as KDD, AAAI and AMIA.   Cross-disciplinary and International AI Lab The selected candidates will be working in a cross-disciplinary team consists of data scientists, physicians, post-docs, PhD students and well respected faculty members from NUS, NUH and SGH. The candidates will be working on healthcare projects funded by our Ministry of Health, Health Promotion Board and AI Singapore. As Dr. Feng is an affiliated scientist, his lab constantly work with faculties and students from the Harvard-MIT Health Science Technology division. Dr. Feng has over 10 joint publications with Harvard and MIT between 2017 and 2018. He has also been organizing the annual NUS-MIT Healthcare AI Datathon (www.nus-datathon.com).   Potential Industrial and Overseas Exposure Dr. Feng also collaborates closely with various local and international industrial partners. Therefore, members in Dr. Feng’s team often have opportunities to work as affiliated scientists in our partnering companies, such as MSD, IBM, SAP, Philips, local and international start-ups.   Responsibilities and requirements Major responsibility of the selected candidate is to apply and develop machine learning and AI technologies to solve healthcare challenges raised by our clinical collaborators. The selected candidate will also be involved in managing, extracting and pre-processing data for various projects.","Required personal skills:  An independent and self-driven worker and a fast learner Well- organized and has an eye for details Excellent written and verbal communication skills Ability to work effectively with colleagues to achieve team goals    Essential technical skills:    Excellent academic record Knowledge and experience in statistical analysis or machine learning Programing language: Python or R or C++     Good proficiency and experience in the following areas is a plus:  Experience with the PL-SQL/Trans-SQL Knowledge and experience in GPU-based computation Strong in Mathematics    The successful applicants are expected to possess at least the Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics, and preferably with relevant experience.   This position will be initially available for one year. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience. Recruitment is open immediately, and will continue until the positions are filled. To apply please email the following to Dr. Feng at ephfm@nus.edu.sg or morning@gmail.com    Cover letter highlighting career goals and relevant experience Curriculum Vitae, containing details of three named referees "
204,6ab4ba4202655abf13f033b752f440ba,https://www.mycareersfuture.sg/job/data-scientist-sephora-digital-sea-6ab4ba4202655abf13f033b752f440ba,Data Scientist,Permanent,SEPHORA DIGITAL SEA PTE. LTD.,"MARINA BAY FINANCIAL CENTRE, 8 MARINA BOULEVARD 018981",Fresh/entry level,Others,4500,6000,,08 Jan 2019,0,0,0,1,"Sephora, a division of LVMH – Moët Hennessy Louis Vuitton global luxury leader, is a global leader in beauty retailing. It successfully operates more than three thousand points of sale across Americas, Europe, Middle East and Asia. Its aim is to animate the most loved beauty community in the world. Sephora South East Asia is a high growth division of leading global beauty retailer, Sephora. Our teams run omni-channel retail businesses in Singapore, Thailand, Australia and Malaysia, franchise operations in India & Indonesia and we run ecommerce only businesses (the first in the world globally for Sephora!) in Philippines, Hong Kong and New Zealand. Our success is built on innovation, a unique product portfolio, market leading digital capability, and our exceptional people! With ambitious growth plans we are always looking for talented people who are passionate about building businesses and developing themselves and our customers'​experience. The Sephora Data team is expanding. As a critical business function, finding the right people to contribute to our high growth, fast changing environment is critical and challenging. The Data team’s mission is to create the necessary data pipelines between our applications and enable teams across the business to use the date for informed decision making.   To succeed in this team You’ll be super smart, passionate about innovation and trying new approaches, and you’ll be a skilled programmer with strong commercial instincts and passion for business success. We are looking for an exceptional Data Scientist to add to our team. To be successful in this role  You will need to be well-versed in all major Machine Learning paradigms (including but not restricted to processing of structured and unstructured data, bias/variance tradeoff, classic classification/regression algorithms, deep learning concepts, representation learning, explainability, unsupervised methods). You will need to be able to communicate clearly with our internal stakeholders, technical or non-technical, deeply understand business priorities and formalize them into challenges that can be tackled with engineering effort, whether it may involve ML or not. You will enjoy being an advocate for Data Science within Sephora SEA and the LVMH group. This involves being naturally prone to knowledge sharing and promotion of a healthy intellectual sharing environment. You will need to be able to work autonomously and have the initiative to come up with original solutions to meaningful challenges. You will need to be able to deal with several concurrent projects and prioritize according to objectives and business impact. "," You are a Python master and numerical libraries are of no mystery to you. Big bonus points if you are also familiar with either of Node.js/Go. You write SQL like you write English. Bonus points if BigQuery is not unknown to you. Expertise in a deep learning framework (tensorflow/pytorch) is a big plus. You have experience in getting your hands dirty and are conscious of the reality of datasets (in contrast to academic datasets). You are result-driven. Not only do you care about benchmarks scores, you are also keen on deploying your algorithms and make them available to use to your stakeholders. Experience with Cloud services (Google Cloud/AWS) for Machine Learning pipeline deployment is highly appreciated.    If taking on the responsibilities of one or more of these roles seems like your ideal job or you have other ideas of how you can contribute to our team, please apply! Your attitude, experience and passion is more important than specific experience. You might be a fresh grad, you might have 10 or more years experience. It’s all about the passion to excel that you will bring to our team & our business."
205,b7c0e2d50e0b78bef8e80534fc7c81e0,https://www.mycareersfuture.sg/job/avp-senior-associate-data-analyst-analytic-center-excellence-transformation-grp-dbs-bank-b7c0e2d50e0b78bef8e80534fc7c81e0,"AVP  /  Senior Associate, Data Analyst, Analytic Center of Excellence, Transformation Grp (180003G5)","Permanent, Full Time",DBS BANK LTD.,,"Manager, Senior Executive",Banking and Finance,5500,11000,,08 Jan 2019,0,0,0,1,"Job Purpose The data analyst will provide the big data analytic support to the Analytic Center of Excellence. He will partner with business and project leader to discover, analyse and process the data to develop analytic and data science solutions. This position allows those with strong data analytic skill and theoretical understanding of advanced analytic algorithms but lack of hands on experience in advanced analytics to learn and prepare for the role of data scientist - advanced analytics in the future. Responsibilities   Identify, profile, analyze and present the data discovery output for analytic projects Develop data ingestion pipeline and create the analytic data assets for analytic projects Work with data engineer to enhance the analytic data infrastructure and develop enterprise analytic data mart Perform data wrangling and feature engineering for machine learning Create helper functions to automate frequently encountered wrangling and feature engineering tasks "," Bachelors/Masters in Computer Science, Statistics, Mathematics and other highly quantitative fields such as bio-informatics Minimum 3 years of industry experience in data analytics working in a big data environment, preferably in financial services industry Highly proficient with data wrangling, analytic, transformation and feature engineering using programming tools such as Spark, Python or R. Excellent knowledge of SQL. Excellent visualization and communication skills. "
206,12a9e5959a3fa311807a41924e8611ef,https://www.mycareersfuture.sg/job/research-engineer-astar-research-entities-12a9e5959a3fa311807a41924e8611ef,Research Engineer (Cardiovascular Risk Study),Contract,A*STAR RESEARCH ENTITIES,"UOB PLAZA, 80 RAFFLES PLACE 048624",Non-executive,Engineering,,,Monthly,08 Jan 2019,1,0,0,0,"  The candidate will perform both fundamental research and applied research in the domains of computer vision, medical imaging, and machine learning with a focus on developing algorithms and proof of concept implementations for healthcare related  AI applications.  "," PhD degree in Computer Science/ Engineering with expertise in Machine Learning, Computer Vision , Deep Learning Minimum 1 Year experience in related field Strong programming skills (C++, Python, Java)  The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified"
207,d12e2ce1c00cb4d5339773d126408386,https://www.mycareersfuture.sg/job/research-engineer-astar-research-entities-d12e2ce1c00cb4d5339773d126408386,Research Engineer (Cardiovascular Risk Study),Contract,A*STAR RESEARCH ENTITIES,"UOB PLAZA, 80 RAFFLES PLACE 048624",Non-executive,Engineering,,,Monthly,08 Jan 2019,1,0,0,0,"  The candidate will perform both fundamental research and applied research in the domains of computer vision, medical imaging, and machine learning with a focus on developing algorithms and proof of concept implementations for healthcare related  AI applications.  "," PhD degree in Computer Science/ Engineering with expertise in Machine Learning, Computer Vision , Deep Learning Minimum 1 Year experience in related field Strong programming skills (C++, Python, Java)  The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified"
208,3baa45f938b74a6660a619998e4a9852,https://www.mycareersfuture.sg/job/senior-data-analyst-streetsine-singapore-3baa45f938b74a6660a619998e4a9852,Senior Data Analyst,"Permanent, Full Time",STREETSINE SINGAPORE PTE. LTD.,"NEWS CENTRE, 1000 TOA PAYOH NORTH 318994","Professional, Executive",Information Technology,4000,8000,Monthly,08 Jan 2019,0,0,0,1,"We are currently looking for a Senior Data Analyst/Scientist to be part of our Business Intelligence (B.I.) team. Reporting to the Chief Data Officer (CDO), you will work closely with internal teams to:  Initiate studies and implement algorithms and methods to take business advantage of new information and data. Build, test and deploy machine learning models to cater to the market intelligence tools offered by the company Refine the performance and accuracy of existing data models based on feedback Assist in general database administration  Expected Competencies: A fast, adaptive yet meticulous professional having the following qualities: 1. Business Acumen and Communication Skills The candidate has demonstrated experience working with the relevant stakeholders to leverage data science to identify new business opportunities or remedy process inefficiencies. 2. Programming Skills The candidate should have prior experience translating proposed technical solutions using computational methods and data science, while at the same time understanding their respective strengths/weaknesses and potential business trade-offs. 3. Technical Competency The candidate writes code according to best practices while meeting security standards and is able to translate complex datasets into strategic insights.","Requirements:  Minimum 2 years of relevant work experience with a degree in any quantitative or computational discipline Proficiency in SQL and Python Excellent communication and interpersonal skills An additional advantage for candidates with proven skills in data visualization, machine learning, or image analytics An additional advantage for candidates with full project life cycle exposure i.e. data collection, aggregation, analysis, visualization, productionization, and monitoring of data Science solutions "
209,2a84837a370cf16f7e72c1a443a65fd9,https://www.mycareersfuture.sg/job/project-officer-nanyang-technological-university-2a84837a370cf16f7e72c1a443a65fd9,Project Officer,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798","Professional, Executive","Engineering, Sciences / Laboratory / R&D",3000,4350,Monthly,08 Jan 2019,1,0,0,0,"The project officer is going to work on the exciting areas of edge computing, including but not limited to the following topics:  Machine learning at the edge Applications of edge computing Chip design and architecture exploration for edge computing  Algorithm design and optimization for edge computing "," Bachelor degree and above in computer science/engineering or electronic engineering at a top-tier university. Experience in any of these areas: Internet-of-Things, edge computing, machine learning, design automation, embedded systems, computer architecture, silicon nanophotonics, computer-aided design, etc. Self-motivated with good communication and teamworking skills. Good spoken and written English. Fresh graduates are welcome to apply. Experienced applicants are preferred.    We regret that only shortlisted candidates will be notified."
210,1f06c233d5dcf1614f129a13d1632f60,https://www.mycareersfuture.sg/job/senior-applied-research-engineer-computer-vision-deep-learning-1f06c233d5dcf1614f129a13d1632f60,"Senior Applied Research Engineer, Computer Vision and Deep Learning",Full Time,Company Undisclosed,,Professional,Information Technology,10000,12000,Monthly,08 Jan 2019,0,0,0,0," Develop novel and accurate visual search and recognition systems, leveraging deep learning and machine learning Analyze and improve the efficiency, scalability, and stability of various production systems Collaborate with team members from the level of prototyping to the level of production Patent drafting for the development of the technology "," PhD in Computer Vision with publications in the fields of machine learning/deep learning or computer vision Extensive programming experience in C++ and strong OO design skills At least 3 years of experience in building large-scale computer vision projects from the level of researching a prototype to the level of production Experienced with training deep neural networks, prototyping in scripting languages like python, MATLAB math performance libs (e.g. IPP, MKL) "
211,56bd3e6d425087588d51d83f270c7c94,https://www.mycareersfuture.sg/job/software-developer-techcom-solutions-consultancy-56bd3e6d425087588d51d83f270c7c94,Software Developer (Machine Learning),"Contract, Full Time",TECHCOM SOLUTIONS & CONSULTANCY PTE. LTD.,"SHENTON HOUSE, 3 SHENTON WAY 068805",Middle Management,"Banking and Finance, Information Technology",5000,7000,Monthly,07 Jan 2019,1,0,0,0," Software Development Machine Learning / Deep Learning NLP for large text corporation Data engineering (pipelines, data wrangling / transformation) Experience programming in Python, R, Java, or Scala Good communication and should be able to handle team at offshore. Machine Learning / Deep Learning NLP for large text corpora Experience programming in Python, R, Java, or Scala     "," Software Development Machine Learning / Deep Learning NLP for large text corporation Data engineering (pipelines, data wrangling / transformation) Experience programming in Python, R, Java, or Scala Good communication and should be able to handle team at offshore. Machine Learning / Deep Learning NLP for large text corpora Experience programming in Python, R, Java, or Scala "
212,05333bcb956254c0974bebb4be24a510,https://www.mycareersfuture.sg/job/software-engineer-dyson-operations-05333bcb956254c0974bebb4be24a510,Software Engineer,Permanent,DYSON OPERATIONS PTE. LTD.,"ASCENT, 2 SCIENCE PARK DRIVE 118222",Professional,Engineering,4600,6000,Monthly,07 Jan 2019,0,0,0,1, Design and implement machine learning application for our products and ecosystem Ensure machine learning applications are available to product via defined APIs Work closely with other software engineers to optimize product performance Keep up-to-date with new technology that may be able to support the machine learning application Help architecture team in coming up with new ideas for machine learning Understand necessary data and AI requirements to implement machine learning application Able to prototype machine learning application quickly for evaluation. ," Strong quantitative background; a master degree in Computer Science, Mathematics, Statistics, Physics or related field; a Ph.D is preferred. 1 year of experience as a software engineer in a technology company or a Ph.D with industry experience Excellent programming skills, and be proficient in at least one of the following languages: C++, Java, Python; familiar with design pattern and able to enforce it in day-to-day tasks. Proficient in machine learning libraries, such as dlib, scikit-learn, numpy or scipy, etc. Solid understanding of machine learning algorithms:  data cleaning, SVM, evolution strategy, deep learning, probability, and statistics fundamentals Having industry experience in building innovative end-to-end machine learning systems is a plus Experience with AWS/MS Azure/Google Cloud Platform, Hadoop, map reduce, REST APIs has a plus Experience in embedded system programming is a plus. Great team player and able to communicate complex Machine Learning concepts to other team members Independent, Integrity and self-driven with a strong focus on results "
213,e05b771030b1a684d5e9a88e7700180b,https://www.mycareersfuture.sg/job/senior-algorithm-engineer-sensetime-international-e05b771030b1a684d5e9a88e7700180b,Senior Algorithm Engineer,Full Time,SENSETIME INTERNATIONAL PTE. LTD.,"THE PLAZA, 7500A BEACH ROAD 199591",Professional,"Engineering, Information Technology",7500,10000,Monthly,07 Jan 2019,0,0,0,0,We are looking for researches who pursue innovative ways to resolve difficult challenges and who have strong publications in machine learning/deep learning/computer vision to support their passionate advocates.  Work on growing company's A.I offerings through innovative machine learning algorithms Work across teams to define product development technical roadmap Implement deep learning / machine learning into prototypes / products ," Master Degree in Computer Science or IT Engineering related, or equivalent practical experience Good knowledge and experience in Java or C++ or Python Teamwork skills, exeptional analytical skills "
214,863283daf30fe9edb3d9c6959f2299f2,https://www.mycareersfuture.sg/job/data-science-consultant-backoffice-associates-asia-863283daf30fe9edb3d9c6959f2299f2,Data Science Consultant,Full Time,BACKOFFICE ASSOCIATES ASIA PTE. LTD.,78 SHENTON WAY 079120,Professional,Information Technology,7000,9000,Monthly,07 Jan 2019,0,0,0,0,"Primary Responsibilities:  Understand large data sets, build data models to address business problems Undertake data collection, pre-processing and analysis Build predictive models and machine learning algorithms  The role will involve analysis and extensive data crunching with good amount of hands on programming skills. This role requires following skills and experience:  Proven experience (5+Years) as a Data Scientist or Data Analyst Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills  ","Candidate should possess good soft skills as mentioned below:  Should possess excellent problem solving and is able to work effectively in a less structured environment and manage time. Excellent verbal and written communication skills Work closely with onsite and offshore team members Willing to travel to the customers locations on need basis outside of Singapore  Qualification:  Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred "
215,32de68c45c9756377411d997a31402c9,https://www.mycareersfuture.sg/job/data-science-consultant-backoffice-associates-asia-32de68c45c9756377411d997a31402c9,Data Science Consultant,Full Time,BACKOFFICE ASSOCIATES ASIA PTE. LTD.,78 SHENTON WAY 079120,Professional,Information Technology,6000,8000,Monthly,07 Jan 2019,0,0,0,0,"Primary Responsibilities:  Understand large data sets, build data models to address business problems Undertake data collection, pre-processing and analysis Build predictive models and machine learning algorithms  The role will involve analysis and extensive data crunching with good amount of hands on programming skills. This role requires following skills and experience:  Proven experience (5+Years) as a Data Scientist or Data Analyst Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills  ","Candidate should possess good soft skills as mentioned below:  Should possess excellent problem solving and is able to work effectively in a less structured environment and manage time. Excellent verbal and written communication skills Work closely with onsite and offshore team members Willing to travel to the customers locations on need basis outside of Singapore  Qualification:  Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred "
216,072f642eb3626c9b338f1c3c4246f922,https://www.mycareersfuture.sg/job/research-engineer-nanyang-technological-university-072f642eb3626c9b338f1c3c4246f922,Research Engineer,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798","Professional, Non-executive","Engineering, Sciences / Laboratory / R&D",3200,3800,Monthly,07 Jan 2019,1,0,0,0, To develop and implement data processing and communication infrastructure both software and hardware to support blockchain data management To integrate and to test the infrastructure and algorithm for blockchain data management for energy trading To develop and implement blockchain data management framework for energy trading To develop machine learning algorithms for distributed energy trading ," Candidate must possess at least a Bachelor degree in Engineering related control, network, communication and automation. Work experience in system integration for communication, radio frequency signal product, software development, and cyber security. Specialized knowledge in project design process, programming on network devices and able to work independently in a fast pace environment.  For interested applicants, please send your CVs to Prof Dusit Niyato at DNIYATO@ntu.edu.sg and Mr Ng Pei Sin at  ngps@ntu.edu.sg."
217,4f590c6141213789adafc432b1ce1a37,https://www.mycareersfuture.sg/job/data-scientist-signal-processing-biofourmis-singapore-4f590c6141213789adafc432b1ce1a37,Data Scientist - Signal Processing,Permanent,BIOFOURMIS SINGAPORE PTE. LTD.,"VISION EXCHANGE, 2 VENTURE DRIVE 608526",Executive,Information Technology,4000,6000,Monthly,07 Jan 2019,0,0,0,1,"The candidate uses strong coding skills to help in the development of signal processing and machine learning algorithms to analyze the physiological/biomedical data and derived with meaningful insights, mine existing biomedical signal and healthcare datasets to guide algorithm design and optimization. ","Master Degree in Computer Science, Electrical Engineering, Biomedical Engineering or related program Minimum 1 to 3 years' experience in Python either in work or school projects Proven working experience in writing high-performance Phython code especiallly on machine learning projects. Familiar with bio-signals (ECG, PPG, and other types of biomedical/healthcare data) and experience in data analysis using Matlab is a plus but not necessary"
218,a210f54b96b45f4453b03571d981874c,https://www.mycareersfuture.sg/job/research-fellow-national-university-singapore-a210f54b96b45f4453b03571d981874c,Research Fellow,Full Time,NATIONAL UNIVERSITY OF SINGAPORE,21 LOWER KENT RIDGE ROAD 119077,Professional,Sciences / Laboratory / R&D,6000,7000,Monthly,07 Jan 2019,0,0,0,0,"Job Description The National University of Singapore invites applications for the position of Research Fellow in the Singapore Data Science Consortium (SDSC). The consortium, funded by NRF, is hosted at the School of Computing (SoC), NUS. SDSC seeks to develop novel computational solutions to a wide range of industry-driven applications, building large-scale experimental systems and improving the well-being of society. The Research Fellow is expected to design solutions and to provide analytical insights that meet industry needs. The job responsibilities include:  Create processes within companies and/or build machine-learning tools that will fetch data from multiple sources. Interpret and analyse data to draw valuable insights that will help companies address business challenges and enhance performance. Communicate important information and trends that highlight problems or opportunities. Work with the Solutions Architect and research team to devise possible solutions and implement new statistical methodologies as needed. ","Job Requirements  A PhD degree in statistics, mathematics, computer science or a related discipline Relevant working experience preferred A team player with excellent communication and problem solving skills, and a deep understanding of machine learning techniques and algorithms A dynamic individual with innovative, critical and analytical thinking  Interested applicants can send your CV to sdsc@nus.edu.sg. Only shortlisted candidates will be notified."
219,7a6d44d0d68a181fc22f9f341d733e23,https://www.mycareersfuture.sg/job/research-engineer-dyson-operations-7a6d44d0d68a181fc22f9f341d733e23,Research Engineer,Permanent,DYSON OPERATIONS PTE. LTD.,"ASCENT, 2 SCIENCE PARK DRIVE 118222",Professional,Engineering,4600,6600,Monthly,07 Jan 2019,0,0,0,1,"Join our  ambitious and rapidly growing research team, at the Dyson’s Singapore Technology Center, focused on building real robots to go into people’s homes. The team is very multidisciplinary covering topics including Computer Vision, Machine Learning, Robot Control, Mechatronics and Electronics, Human-Robot Interaction, all with the backdrop of friendly and multi-cultural work environment. We are seeking someone to help with the conceptualization, design and implementation of high-level robot behaviours. People who are looking to transition from the Gaming Industry to Robotics are encouraged to apply as your skill sets will be equally relevant.  Day to Day Responsibilities:  Design and implement novel and robust solutions for orchestrating high-level behaviours for multi-modal robotic/agent systems. Design, prototype and implement manageable/maintainable software in C++ and/or Python. Develop systems using simulation tools and then demonstrate them on real robotic platforms. Help with integration efforts in order to ensure that the system provides the functionality required in order to aid the implementation of the behaviours.       ","Skills / Requirements:  MSc or PhD (or equivalent industrial research experience) applied to practical, real-world robotics (or computer agents) problems and projects. Understanding of robotic systems design and integration. Developing software in a Linux environment (e.g. Ubuntu, or a variant thereof). Knowledge of and experience in techniques for programming intelligent agent behaviours (e.g. Behaviour Trees, Finite State Machines, Petri-Nets).   Desirable:  Experience with robot middleware frameworks such as ROS + Gazebo, YARP, VRep, NaoQi. Experience with coding development practices such as automated testing, continuous integration and code reviewing is highly desirable. Knowledge in related areas such as Computer Vision, Machine Learning and Hardware Control is also very appreciated 1-3 years’ experience "
220,f57c5b05e7a6027d200d59d00bcbda98,https://www.mycareersfuture.sg/job/research-associate-nanyang-technological-university-f57c5b05e7a6027d200d59d00bcbda98,Research Associate,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798",Professional,Sciences / Laboratory / R&D,3500,4800,Monthly,07 Jan 2019,1,0,0,0,"The candidate will work closely with the Executive Director, CYSREN in advancing and disseminating cyber security research projects undertaken at the centre with special focus on leveraging technology for social media behaviour analysis.   Job Description:  The candidate should be able to undertake research in the area of user behaviour on social media with the aim to develop analytical tools for law enforcement in combatting crime.  He/she should have an in-depth appreciation of behavioural science to be able to translate complex information into transformative data-driven solutions across a variety of user behaviour.  The candidate must be proficient in developing machine learning based algorithms to extract data from structured and unstructured real-life data sources to detect abnormal user behaviours. The candidate will be expected to disseminate the work in top publishing forums in computer security and data analytics.  He/she shall work collaboratively with other researchers and PhD students in the centre.  The ideal candidate should be a dynamic individual with constant drive to apply his/her multidisciplinary functions involving technical knowledge of all aspects of cyber security, project management and problem solving capabilities.    ",The applicant must possess a Master degree or above from a reputed university.  Self-motivated and have strong independent and cooperative working capability. Hands-on capabilities in the following:   Experience with user behaviour analytics High level programming / scripting language Worked on projects that require machine learning    We regret that only shortlisted candidates will be notified.
221,f299d8613e911ccbf99c394275f436fa,https://www.mycareersfuture.sg/job/pm-pmo-synechron-business-consulting-f299d8613e911ccbf99c394275f436fa,PM  / PMO,Permanent,SYNECHRON BUSINESS CONSULTING PTE. LTD.,,"Manager, Professional",Banking and Finance,6000,20000,Monthly,07 Jan 2019,0,0,0,1,"Synechron draws on over 17 years of financial services IT consulting experience to provide expert systems integration expertise and technical development work in highly-complex areas within financial services this making it one of the fastest-growing digital, business consulting & technology firms around the world.  Headquartered in New York and with 18 offices around the world, Synechron has limitless opportunities for our ambitious and innovative employees to contribute to our growth story.  We are embracing the most cutting-edge innovations in areas like Blockchain, Artificial intelligence ,Machine learning and Cloud Computing as well as delivering end-to-end Consulting, Technology, and front-to-back application design capability that allows us to see a project through from start-to-finish as a trusted advisor and partner to our clients, this allowing our people to work on the most industry-leading initiatives that will shape the future of the financial services industry. This has helped us to grow to $500+ million in annual revenue and 8,000 employees, and we’ve set an ambitious target to be a $1B company by 2020","PM/PMO Role  4+ years relevant work experience Experience in Vendor and Contract Management, ITO Sourcing, market analysis, reporting, etc. Experience in cross-functional stakeholder management Good communication skills Techno-functional PM/PMO who can with various stakeholders for any data gathering, action follow-ups, updates, meetings Independent worker Excel skills a must "
222,c6b86014497574442a0ee9efd61c227c,https://www.mycareersfuture.sg/job/assistant-manager-geoanalytics-singapore-land-authority-c6b86014497574442a0ee9efd61c227c,"Assistant Manager, GeoAnalytics",Full Time,Singapore Land Authority,"REVENUE HOUSE, 55 NEWTON ROAD 307987",Middle Management,"Information Technology, Public / Civil Service",4000,6500,Monthly,05 Jan 2019,0,0,0,0,"Assistant Manager, GeoAnalytics
Job Scope:

Proliferate the use of GIS and data within whole of Government.
Provide consultative support to stakeholders to make sense of data.
Work with developers, contractors and vendors to collaborate on the application exploration and development so as to achieve the department’s work objectives.
Review Big Data, Machine Learning frameworks.

 
Requirements:

Degree, preferably in the areas of Geospatial/Computer Science/Engineering or similar area of study.
At least 3 - 5 years of working experience in geospatial information science, analytics platforms, system analysis and design.
Excellent communication and presentation skills. Able to relate technical information to all levels of the organisation.
Experience with GIS and Business Intelligence software (e.g. Qlikview, Tableau).
Good knowledge of Hadoop (Cloudera/Hortonworks) Infrastructure, R, Python and ability to code (python functional programming, java).

 ",None
223,a8366ea0122ebe5fc1fde22d0ae6703b,https://www.mycareersfuture.sg/job/senior-data-scientist-resmed-asia-a8366ea0122ebe5fc1fde22d0ae6703b,Senior Data Scientist,"Permanent, Full Time",RESMED ASIA PTE. LTD.,8 LOYANG CRESCENT 509016,Senior Executive,"Engineering, Sciences / Laboratory / R&D",10000,14000,Monthly,04 Jan 2019,0,0,0,1,"Senior Data Scientist The Senior Data Scientist will undertake applied research and development in the areas of data science and biomedical informatics, using the latest technologies in machine learning and distributed computing. The platform and algorithms developed may be used in a range of diagnostic and therapeutic applications, such as sleep disorder breathing, chronic obstructive pulmonary disorder, and other respiratory disorders, as well as co-morbidities such as congestive heart failure and diabetes and chronic disease management Let’s talk about this position: The Advanced Analytics team is headquartered in the United States and is focused on developing analytics solutions that will enable a data-driven approach to addressing business questions. This role will be a part of the Advanced Analytics team in Singapore, and collaborate with the global Advanced Analytics team in support of achieving global and regional business goals. Responsibilities and Accountabilities:  Research, customization, and development of statistical and machine learning algorithms to meet complex project requirements; tasks include defining hypotheses, executing necessary tests and experiments, evaluating, tuning and optimizing algorithms and methods to specific situations. Analysis of big data for data-driven solution validation, evaluation and technology innovation.  Optimize data analysis processes and systems for better efficiency and maintainability. Leading sub-functional and small project teams. Mentoring and training more junior team members and serving as a best-practice resource for statistics and machine learning. Writing of documents that clearly explain how algorithms should be implemented, verified and validated. Writing documents for use in the preparation of intellectual property and technical publications. Monitoring the literature of interest and industrial development trends, broadly in the areas of data analysis and machine learning. Understanding regulatory requirements, such as those mandated by the FDA. Working within the ResMed Quality system, standards and maintaining training requirements. Being ever mindful of the requirements of the wider market and ResMed stakeholders. Promoting safe working environment within OH&S guidelines ","Let’s talk about you: To really get us excited, you will have a degree in Computer Science, Engineering, Statistics, Applied Mathmatics, or related fields with minimal 6 years’ industry or academic experience in data science. Post-graduaded research experience (Masters or PhD) in a field encompassing Data Science, Applied Statistics, or Biomedical Informatics and relevant industry experience would be favourably considered. For this role, you should have skills and knowledge such as:  Expert in statistical analysis methods, including analysis of variance, regression, time series analysis, survival analysis, etc. Extensive knowledge in machine learning fundamental theories and data mining technologies. Leadership and hands on experience with development of data analytics systems, including data exploration/crawling, feature engineering, model building, performance evaluation, and online deployment of models. Proficient with server side programming in Python/Java. Hands on experience in handling large and distributed datasets on Hadoop, Spark, Hive, Pig or Storm, etc. Strong database skills and experience, including experience with SQL programming. Knowledge in big data technologies including cloud computing/distributed computing, data fusion, and data visualization. Experience in R programming. A background in or exposure to biomedical engineering, medical science or physiology. Good technical writing and presentation skills. Optimisation of algorithm complexity vs. accuracy vs. implementation cost. Implementing robust software for use in research programs with a minimum of review and other formal process  OK, so what next?  At ResMed, we believe in supporting, inspiring and developing our people. So we recruit the best and then give them the tools to make a real difference in the lives of our patients. We believe that fresh thinking inspires innovation – and our shared success. If this sounds like a place you would like to work and you have the drive to transform and enhance the lives of millions of patients through your contribution at work, then today is your day! Apply now!"
224,2f0c26cd85b0964482421f8d9f7ec3bd,https://www.mycareersfuture.sg/job/data-scientist-resmed-asia-2f0c26cd85b0964482421f8d9f7ec3bd,Data Scientist,"Permanent, Full Time",RESMED ASIA PTE. LTD.,8 LOYANG CRESCENT 509016,Executive,"Engineering, Information Technology, Sciences / Laboratory / R&D",5000,7000,Monthly,04 Jan 2019,0,0,0,1,"Data Scientist We are currently seeking applications from an experienced Data Scientist to join our Healthcare Informatics (HI) team based in our Connexis office Singapore.  At ResMed we focus on capability and passion. With your in-depth knowledge and understanding in applied research and development in the areas of data science biomedical informatics, you will use the latest technologies in machine learning and distributed computing. The platform and algorithms developed may be used in a range of diagnostic and therapeutic applications, such as sleep disorder breathing, chronic obstructive pulmonary disorder, and other respiratory disorders, as well as co-morbidities such as congestive heart failure and diabetes and chronic disease management. The candidate we are seeking will specialise in the following areas and be capable of the following responsibilities: • Research, customization, and development of statistical and machine learning algorithms to meet project requirements; tasks include defining hypotheses, executing necessary tests and experiments, evaluating, tuning and optimizing algorithms and methods to specific situations. • Analysis of big data for data-driven solution validation, evaluation and technology innovation.   • Optimize data analysis processes and systems for better efficiency and maintainability.   • Writing of documents that clearly explain how algorithms should be implemented, verified and validated. • Writing documents for use in the preparation of intellectual property and technical publications. • Monitoring the literature of interest and industrial development trends, broadly in the areas of data analysis and machine learning. • Understanding regulatory requirements, such as those mandated by the FDA. • Working within the ResMed Quality system, standards and maintaining training requirements.","Let’s talk about you: To really get us excited, you will have extensive working knowledge of machine learning fundamental theories and data mining technologies with proficiency in statistical analysis methods, including analysis of variance, regression, time series analysis, survival analysis, etc. In addition, you will have strong database skills and experience, including experience with SQL programming. You will also have a Post-graduate research experience (Masters or PhD) Degree in a field encompassing Data Science, Applied Statistics, or Biomedical Informatics or related discipline with experience in relevant data science industry. Experience in a medical device company would also be advantageous. Let’s talk about the team: Big ideas and big goals reign at ResMed Singapore. Within this growing HI team, you’ll thrive in an environment filled with self-starters who possess the drive to make a difference. You’ll be encouraged within a people-focused culture that motivates and recognises talent, so that together, we can produce the best products and results. OK, so what next? At ResMed, we believe in supporting, inspiring and developing our people. So we recruit the best and then give them the tools to make a real difference in the lives of our patients. We believe that fresh thinking inspires innovation – and our shared success. If this sounds like a place you would like to work and you have the drive to transform and enhance the lives of millions of patients through your contribution at work, then today is your day! Apply now!"
225,b622c3a88459da3d3ed81c699525fcc7,https://www.mycareersfuture.sg/job/robotics-automation-trainee-pba-systems-b622c3a88459da3d3ed81c699525fcc7,Robotics and Automation Trainee (Attach and Train),Contract,PBA SYSTEMS PTE LTD,"PBA BUILDING, 505 YISHUN INDUSTRIAL PARK A 768733",Professional,Engineering,3000,3040,Monthly,04 Jan 2019,1,0,0,0,"SWITCHING CAREERS? LOOKING TO CONTRIBUTE IN A BIGGER WAY WITH TECHNOLOGY? APPLICATIONS ARE OPEN, FOR A LIMITED TIME ONLY OVERVIEW   Under Workforce Singapore’s (WSG) Adapt and Grow initiative, Robotics Automation Centre of Excellence (RACE) introduces to you to the Attach-and-Train (AnT) programme for Robotics and Automation (RnA) talents, a manpower development initiative aimed at empowering engineering talents with a hands-on induction into RnA technologies, especially core robotic platforms and their various elements.   In this evolution of our AnT, RACE has lined up an array of experienced industry practitioners to provide apprentice-style training to prepare agile engineers and technologists who are passionate about contributing in the RnA industry or even in roles relating to these technologies.   Drawing on the strong partner networks of PBA Group, which founded RACE, this AnT will also integrate job matching and professional career advisory to prepare and provide our candidates insights into exciting RnA roles in progressive companies of various sizes and across a range of industries.   HOW DOES IT WORK   Administered by RACE, applicants will be shortlisted for possible RnA roles in esteemed host companies and undergo rigorous training comprising three months of facilitated classroom sessions conducted by RACE’s qualified trainers. Trainees will adopt a hands-on learning approach with training and curriculum design based on real-world project experiences of PBA and its partners.   PROGRAMME STRUCTURE & CERTIFICATION   The total training duration will take up to six months, with 3 months of training held at RACE Academy and 3 months of On-the-Job training (OJT) attachment to respective host companies. Depending on the individual’s performance and the company’s assessment, host companies may offer deserving and competent AnT trainees contracts/permanent employment at any point during the 3-month OJT attachment. Until such employment has transpired, candidates will continue to receive their salary supplements from RACE Academy, unless otherwise agreed and/or duly advised.   More details (e.g.illustration and testimonials from past trainees) can be found here: http://bit.ly/RACEAnT2019   DATES   AnT2: Train at RACE (31 Dec 18 - 2 Apr 19) then attach at Host (8 Apr 19 - 5 Jul 19) - applications are CLOSED ANT3: Attach at Host (11 Feb 19 - 10 May 19), then Train at RACE (13 May - 13 Aug 19) - applications OPEN  ANT4*: Attach at Host (20 May - 20 Aug 19), then Train at RACE (26 Aug - 26 Nov 19) - applications OPEN   *Dates and format of ANT4 are subject to change.   Apply earlier to increase your chances of securing an attachment that aligns with your career interests. LIMITED SLOTS available. WHAT KIND OF CAREERS CAN I LOOK FORWARD TO IF I JOIN?   Below, we list a snapshot of the growing number of roles that our partner companies are hiring for, You are welcome to self-source your own roles as well, as long as your future roles will allow you to apply the skills you gain and the networks you build via the programme.   If you're good at coding: Software developers in areas like middleware/firmware development, open source frameworks (like Robot Operating System), embedded programming, IoT, artificial intelligence / machine learning (to build intelligence into robotics and automation systems), system architecture to enable smart automation, and system integration. If you're good at design: Industrial design to enable commercialisation of technologies to new markets, mechanical design of automation/robotic solutions or related technologies like grippers and end-effectors.  If you're good at application engineering / maintenance / troublehsooting: Roles include field service and equipment engineers dealing with customers directly to service their needs. If you're good at scoping projects: Consulting roles with potential users of automation, to guide them on operational excellence to eliminate wastes and streamline processes, then assess returns on investment for automation and robotic technologies. Potential/existing end users of automation are also keen to hire such candidates to drive through internal automation/robotic projects.  If you're good at manufacturing: Manage or be part of production teams involved in areas like precision machining, where robotics and automation technologies could apply. If you're good at R&D: Contribute towards the heart of developing technologies relating to motion control, robotics and automation.  If you're good at electrical engineering: Develop and integrate control systems for automation/robotic lines. If you're good at process engineering: Engineering roles in system integrators serving specialised fields ranging from medical, automotive, F&B, aerospace, semiconductor, and even advanced manufacturing (e.g. additive manufacturing, industry 4.0, agri-technology). If you're good at tinkering/building things: Entrepreneurial function in a startup or spinoff or startup-like unit in a larger organisation. If you're good at sales / recruitment: Technical sales roles, both in Singapore only and serving the regional market (travel required). We have one opening for a technical recruiter too. If you're good at business development / marketing / multimedia design and development: Enable and support technology teams and products to scale across markets and make teachnology accessible to people who need them most. Candidates with a flair for creating powerful content by weaving stories with graphics, audio, video and other visual tools will be favourably considered - you will be given access to industry practitioners with rich experience in various fields of technology.  RACE has also collated a project bank of real-world projects (with potential customers) that talents will be able to try their hands at during the programme to hone skills, showcase capabilities and discover where strengths lie.","ELIGIBILITY CRITERIA: WHO CAN APPLY?     Talents with passion and aptitude to contribute in a role relating to Robotics and Automation (RnA). Government subsidies only apply to Singaporeans.   Unemployed before joining AnT.   Able to commit three months to undergo training with RACE Academy, and another 3 months of OJT attachment with a host company (either self-sourced by the candidate or scoped/referred by RACE). Trainees are hence encouraged to actively source for employment before and during the programme, although RACE will also refer roles in partnering host companies.   Due to the hands-on nature of this programme, candidates must achieve full/regular attendance - monthly salary supplement is tied to attendance.   Candidates should preferably possess a Bachelor's Degree or Polytechnic Diploma with relevant qualifications and work experience. Candidates without such experience and qualifications but with strong entrepreneurial instinct and aptitude for agile hands-on engineering will also be favourably considered. We also welcome candidates with aptitude for related roles like technical sales/recruitment, RnA training, and process consultancy.   If you do not possess relevant qualification in a technical field of study or past experience in a technical line, please expressly highlight in your application why we should consider you.  "
226,1b2028c30e79c7cd865e917353167f0b,https://www.mycareersfuture.sg/job/gf-audit-manager-audit-innovation-vp-18079714-citibank-na-1b2028c30e79c7cd865e917353167f0b,GF Audit Manager Audit Innovation VP - 18079714,Full Time,CITIBANK N.A.,,Middle Management,Banking and Finance,10000,17500,Monthly,04 Jan 2019,0,0,0,0,"Function background/context:  Internal Audit is a global organization of over 1800 professionals covering Citi's global businesses and service to clients and customers in over 180 countries. Citi's Internal Audit division provides independent assessments of the company's governance, risk management and internal control environment for key stakeholders including the Board of Directors, senior management and Citi’s numerous regulators globally. Internal Audit is a change agent within Citi aimed to enhance the control culture of Citigroup worldwide and thereby support senior management decision making around the globe.  Job Purpose:  The Audit Innovation function works with members of Internal Audit to identify automation opportunities and develop repeatable solutions.  The candidate must be proficient in the uses of analytics and visualization tools to create and execute automated processes including solutions, robotics, natural language processing, and machine learning.  The results of the analytics directly impact the Citigroup’s saftey and soundness through the testing of key business controls and the identification of emerging risks.  In addition to strong technical skills, the candidate requires a functional knowledge of banking processes and related risks and controls.  This manager role will interact with senior members of Internal Audit, providing subject matter expertise in the identification and  development of innovative solutions to increase audit efficiency and effectiveness.  This role also requires management of junior Audit Innovation team members to ensure timely delivery of automated solutions.  Key Responsibilities:  Leadership and subject matter expertise in the development of audit processes improvements. Applies solid understanding of how internal audit collectively integrates with line management and control functions to accomplish the objectives of the function and overall business. Assisting audit teams in performing complex audits related to Consumer or Investment Banking, technology management; project/program management; or supplier management in accordance with corporate methodologies and professional standards. Managing junior team members regarding the development of automation in all phases of the audit process. Monitoring the risk environment and assesses the emerging risks through the Business Monitoring process. Recommending appropriate and pragmatic solutions to risk and control issues. Pro-actively developing automated routines to help focus audit testing. Leadership in the innovative use of audit analytics through direct participation in all phases of audits (i.e., business monitoring, planning, fieldwork, reporting). Assisting in defining data needs, designing and executing audit analytics during audits in accordance with the audit methodology and professional standards. Promoting continuous improvement in all aspects of audit automation activities (e.g., technical environment, software, operating procedures).    To apply online via the careers section of Citi E career website, please click via the link below: https://citi.taleo.net/careersection/2/jobdetail.ftl?lang-en&job=18079714","Qualifications and Competencies  At least 6 years of business / audit experience in providing automated solutions to business needs. Excellent technical, programming, databases and web development skills. Proficiency in at least five of the following technical skills: SQL SAS Machine Learning (e.g., Python, R, Google TensorFlow Visualization tools (e.g., MicroStrategy, QlikView) Robotics tools JAVA Oracle UNIX Shell Scripting VBA MS Access Business Intelligence Data Science skills including extracting insights from large volumes of data in various forms. Experience in the use of statistics, data modeling, data mining and predictive analytics are a plus. Excellent analytical ability to understand business processes and related risks and controls, and develop innovative audit analytics based upon audit needs. Working knowledge of the banking businesses (i.e., Institutional Clients Group, Consumer, and Corporate Functions). Ingenuity in enhancing client support through innovative use of analytics. Strong interpersonal skills for interfacing with all levels of internal and external audit and management. Strong management skills to lead Audit Innovation team members in the development and implementation of automated solutions.  We offer:  Opportunity to develop analytics and project management skills as well as expand knowledge in the area of Internal Audit function. Working with newest technologies available. A chance to develop in an international environment in one of the greatest financial institutions worldwide. Cooperation with a high quality team in a challenging area of the financial industry with one of the world's leading companies. Excellent working environment. Attractive Social Benefits System (pension plan, medical care, life insurance, digital learning platforms etc.). "
227,8a0927ba134156c16d16aedf66509644,https://www.mycareersfuture.sg/job/research-fellow-nanyang-technological-university-8a0927ba134156c16d16aedf66509644,Research Fellow,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798","Professional, Executive","Engineering, Sciences / Laboratory / R&D",5500,6500,Monthly,04 Jan 2019,1,0,0,0,"A research fellow position is available at the HP-NTU Corporate Lab, Nanyang Technological University, in the areas of machine learning, security, and software engineering. The position involves conducting research on the security of AI systems, such as designing and developing novel and efficient approaches to detecting bugs, malware, and vulnerability in AI systems, and protecting AI systems. Applicants should have relevant background and excellent research experience in these areas. Applicants should also have excellent programming skills and be able to conduct original research independently or cooperating with others.  "," Ph.D. degree in computer science, software engineering, engineering, mathematics, or related discipline. Research experience in machine learning, software testing, and related areas. Expertise in machine learning, security, software programming, and software testing.  Able to conduct research and write report independently and within teams. Excellent communication and writing skills, Hard-working.  High quality research work is a plus. Fresh PhD graduates are welcome to apply. Experienced applicants are preferred.     We regret that only shortlisted candidates will be notified.   "
228,5be84ff5c3cebe26a563c596b4a76f0f,https://www.mycareersfuture.sg/job/software-engineer-sensetime-international-5be84ff5c3cebe26a563c596b4a76f0f,Software Engineer,Permanent,SENSETIME INTERNATIONAL PTE. LTD.,"THE PLAZA, 7500A BEACH ROAD 199591","Executive, Junior Executive, Senior Executive",Information Technology,4500,5500,,04 Jan 2019,0,0,0,1,"Key responsibilities:  Develop, build and implement machine learning applications Hands-on installation of technologies, setting up development environment, coding from scratch Work with project teams to conduct various experimentation in translating algorithms into potential applications Documentation of codes and prepare reports for the software systems Explore and learn the latest technologies in the industry Perform Ad hoc projects and tasks per requested ","Requirements:  Bachelor Degree holder or above in Computer Science, Computer Engineering or related disciplines; At least 3-5 years’ experience in software system development Strong technical hands-on experience in software system development using different programming languages; Familiar with developing software on Linux, Windows etc; Possess critical thinking skills, combined with the ability to present clearly to team leader; Good command of both spoken and written English Eager to learn, independent, meticulous team player "
229,82027129804f7711d1c80d425890149e,https://www.mycareersfuture.sg/job/research-associate-nanyang-technological-university-82027129804f7711d1c80d425890149e,Research Associate,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798","Professional, Non-executive","Engineering, Sciences / Laboratory / R&D",4000,5000,Monthly,04 Jan 2019,1,0,0,0,"The qualified candidate is required to:  Monitor photovoltaic system energy yield and study the results Monitor Photovoltaic system hardware installation and troubleshooting Technical skill on power management unit (PMU) and maximum power point tracking (MPPT) Monitor street lighting power management and control systems and study the results Monitoring energy usage on AC and hybrid AC/DC microgrid and study the results Knowledge of energy/utility management software Implement control algorithms in renewable energy systems Carry out research work with team members in CETRAN facility Provide improvement recommendations on for optimizing existing control strategies Identify and establish working relationships with all necessary engineering, construction and procurement firms (with focus on energy conservation and generation resources) required to execute energy recommendations Prepare legible, clearly researched, high quality research reports for study Keep up to date with changes in energy regulation Keep up to date with industry standard best practice    Preference will be given to candidate who is able to:  Design connected objects and IoT ecosystem applied to street lighting network Adapt machine learning algorithm based on historical data to build up predication/regression models, analyze smart energy devices and compatibility Predict results on findings i.e. Energy forecast Design to be built on data science models ","TECHNICAL/PROFESSIONAL  MSc / equivalent master’s degree in Electrical engineering (Renewable energy, Smart grids, Power system modelling, Wireless sensors) Preferred experience of around two years. Fresh graduates with good profile will be considered    GENERAL  Ability to read, analyse, and interpret plans, specifications, contract documents, control drawings, service bulletins, technical procedure manuals, equipment specifications, and governmental regulations Ability to write reports, business correspondence, and procedure manuals Ability to effectively present information and respond to questions from top management, customers, and service personnel Ability to define problems, collect data, establish facts, and draw valid conclusions Report for external and internal communications Accurately assess and provide feedback on project engineering risk Provides technical analysis/review for energy projects; providing project risk assessment    TECHNOLOGICAL  Basic knowledge of Microsoft Office Suite  Energy management softwares    ADDITIONAL ADVANTAGEOUS SKILLS  Knowledge in programming and data analytics Knowledge of wireless communication devices Knowledge of smart lighting systems    Application Procedure Interested applicants can submit their resumes to Mr Yann Grynberg at ygrynberg@ntu.edu.sg "
230,75b01ff1374e9fb7e630b737e841fc81,https://www.mycareersfuture.sg/job/big-data-solution-architect-75b01ff1374e9fb7e630b737e841fc81,Big Data Solution Architect,"Permanent, Full Time",Company Undisclosed,,Professional,Information Technology,,,Monthly,04 Jan 2019,0,0,0,1,"In this role, we are looking for Big Data Architect to drive high priority customer initiatives, leveraging Azure data services to solve the biggest and most complex data challenges faced by our enterprise customers. This is a technical role, accountable for the end-to-end deployment and usage for Azure data services. You will own the Azure Data Services technical architecture: data architecture design sessions, implementation projects and/or Proofs of Concepts. You will be helping customers realise results in a digital world through business technology solutions and managed services that combine insight, innovation and expertise focused on Microsoft® technologies. The individual will be expected to:  Architect scalable data processing and analytics solutions, including technical feasibility for Big Data storage, processing and consumption e.g., development of enterprise Data Lake strategy, heterogeneous data management, Polyglot Persistence, decision support over Data Lake. Work with delivery teams to design Azure data services solutions in support of the over-arching analytics services solution, including SQL Database, Document DB, SQL Data Warehouse, HD Insight, Azure Machine Learning, Stream Analytics, Data Factory, Event Hubs and Notification Hubs You will design, coordinate and execute pilots, prototypes or proof of concepts, provide validation on specific scenarios. Report on progress of business objectives; Ensure plan execution, Document and share technical best practices / insights with Engineering teams, data scientists, IT Infrastructure , application delivery team members and the solution architect community Know how ML implementations should be reflected into the greater enterprise’s architecture. Understand the different data science and projection scenarios and their effect on the overall enterprise’s IT architecture and help decide the best compromise. Have deep subject matter expertise and demonstrable hands on experience implementing Big Data solutions using Microsoft Data Platform and Azure Data Services; including Data Factory, Data Warehouse, Data Lake, Data Lake Analytics, Data Catalog, U-SQL, User Access Management 	 Operationalizing end-to-end cloud analytics solutions. Design data pipelines to support machine-learning solutions Design big data real-time processing solutions Designing big data batch processing and interactive solutions   ","Key Requirements:  Masters / Degree in Engineering, Mathematics, Data Science, Computer Science or any other related field At least 5 years’ experience managing medium to large scale projects involving structured and unstructured data and architecting high performing data network solutions Experience working in big data technologies in the Microsoft Azure cloud like Azure Data Lake Store, Azure Data Lake Analytics, Azure Data Warehouse, Azure Stream Analytics, Azure Event Hub, Azure IoT Hub, and Azure Data Factory Knowledge and hands-on experience with some of the latest data technologies and frameworks such as Hadoop, MapReduce, Pig, Hive, Spark, Storm, Oozie, Sqoop, and Kafka, HBase, Flume, Zookeeper, MongoDB, NoSQL and Cassandra Knowledge of programming languages and latest technologies such as  C#.NET, Elastic, all types of JavaScript frameworks, HTML5, CSS, RESTful Services,  Spark, Python, Linux, Hive, and Kafk Possess deep understanding of data, RDBMS, network, cloud and hardware platforms including mainframes, distributed platforms, desktops, and mobile devices as well as a deep understanding of databases, data in storage and data in motion Good understanding of various historian systems related to the power and utility sector Working experience in customer facing roles and success leading deep technical architecture and design discussions with senior executives "
231,1d14e2706ef13efe05df1a7dee3a82a0,https://www.mycareersfuture.sg/job/senior-rd-engineer-panasonic-rd-center-singapore-1d14e2706ef13efe05df1a7dee3a82a0,"Senior  /  R&D Engineer (AI, Deep Learning, Computer Vision)",Full Time,PANASONIC R&D CENTER SINGAPORE,202 BEDOK SOUTH AVENUE 1 469332,Executive,Sciences / Laboratory / R&D,3800,5500,Monthly,03 Jan 2019,0,0,0,0,"                                                                                       Panasonic                                                                   Drive the Future Together with Us                                            Senior / R&D Engineer (AI, Deep Learning, Computer Vision) As an R&D Engineer specialized in machine learning and computer vision, you lead in delivering state-of-the-art technologies relevant to the digital and automated future of tomorrow and to provide a profound impact on people’s lives around the world. Innovating and revolutionize ideas in multiples areas such as surveillance and to explore AI advancement with Deep Learning and machine learning and its potential applications, to achieve world-top AI wonders in a short time. You will have the opportunity to gain industry experiences as well as living in Singapore. We are looking for researches who pursue innovative ways to resolve difficult challenges and who have strong publications in machine learning/deep learning/computer vision to support their passionate advocates. Therefore, do not miss the golden opportunity to realize your dream with many good topics and real application use cases. Responsibilities:  Research and development in deep learning applications and computer vision algorithms, Implement deep learning / machine learning into prototypes / products Undertake in the publishing of papers / drafting patents / attending conferences ","Requirements:  Masters/PhD in Electronic/Computer Engineering/Computer Science or related technical field Experience in areas of detection/recognition/tracking/segmentation of face, body or object Experience in deep learning frameworks (Caffe, TensorFlow, MXNet, Chainer, Theano, Torch, etc.) Experience and proficient in software programming using C/C++, Python, Matlab, CUDA, OpenCL  Please write in or e-mail indicating the job title and job area, with a complete resume and academic transcripts by 31st January 2019, giving full details of your background, experience, career objectives, current and expected salaries, contact number(s) together with a recent non-returnable photograph to:                                                                 PANASONIC R&D CENTER SINGAPORE                                                       202 Bedok South Avenue 1 #02-11 Singapore 469332                                                                    E-mail:  prdcsg.ctg@sg.panasonic.com                                                               Website:  http://www.prdcsg.panasonic.com.sg/                                                            (We regret that only shortlisted candidates will be notified.)  "
232,ee6d544e704fdda821970b416b5eda87,https://www.mycareersfuture.sg/job/data-scientist-ee6d544e704fdda821970b416b5eda87,IT Data Scientist (Generalist),Full Time,Company Undisclosed,,Professional,Information Technology,7000,12000,Monthly,03 Jan 2019,0,0,0,0,"The Data Scientist should have a graduate degree in Computer Science, Statistics, Deep Learning or Machine Learning and a strong background in statistical methods such as Bayesian statistics, time series forecasting, and feature engineering. Candidates with an undergraduate degree and a demonstrable track record in these domains are encouraged to apply.   Responsibilities  Implement state-of-the-art deep learning and machine learning models  Conduct original research on our large repository of data, both proprietary and open-source Write production-level code linking new and existing data pipelines with scripts for feature engineering, machine learning predictive models and visualization Write tests to check for integrity of our data, models and predictions "," Comfortable with core machine learning algorithms implementation and theory Advanced in scripting languages (Python, R and UNIX Shell), Git project management, deep learning frameworks (PyTorch /Keras / TensorFlow..), and programming skills (Java or C++) Can communicate clearly and cogently on concepts, processes and algorithms used Ability to work in time-sensitive environments and to approach problems from different angles Deep learning experience "
233,775ce83df44249a217875d4a0a88ef4c,https://www.mycareersfuture.sg/job/deep-learning-research-engineer-775ce83df44249a217875d4a0a88ef4c,IT Deep Learning Research Engineer,Full Time,Company Undisclosed,,Professional,Information Technology,7000,12000,Monthly,03 Jan 2019,0,0,0,0,"We are looking for engineers to bring next generation AI solutions to life. You will work closely with research scientists at the company to implement and deliver cutting edge machine learning solutions to product teams throughout the company.   Responsibilities  We work across a wide range of cross industry problems from AI computing at the edge, image defect detection, drone surveillance, cybersecurity AI, anomaly detection, company financial risk exposure to short-term supply/demand modelling, to optimizing dispatch, to automatization of machine learning algorithms, and much more You will be expected to be able to learn and understand the details of the cutting-edge machine learning algorithms and work to deliver them effectively to the millions of customers that use our system every day "," Experience in AI technology systems integration project delivery Expertise in one or more object-oriented languages, including Python, R, Go, Java, or C++, and an eagerness to learn more Experience with both machine learning and building scalable production services Experience with distributed storage and database systems, including SQL or NoSQL, MySQL, or Cassandra Experience using machine learning libraries or platforms, including Tensorflow, Keras, Pytorch, Caffe, Scikit-Learn,or ML Lib for production or commercial products A strong desire to learn the details of advance deep learning algorithms Ability to communicate effectively between research scientists and production engineers, both in code and conversation Ability to solve complex business problems and apply machine learning to optimize critical business metrics Strong adherence to metrics driven development, with a disciplined and analytical approach to product development    Bonus Points  Experience in statistics Enjoy reading academic papers and implementing experimental systems Experience presenting at industry recognized ML conferences as well as being published in the field Big Data Technical Knowledge – deep aptitude and proficiency in programming and design techniques (Python, Scala, Java, Web/DB development, complex event processing, design patterns). Understanding of technical architectures and current state of the market in several technology areas Familiarity with distributed computing architectures, frameworks and tools, e.g., Hadoop/MapReduce, Spark, HBase, Cassandra, Kafka, Nifi, Kubernetes, and Storm and knowledge of cloud platforms like AWS, GCP, Azure "
234,9e14d21c6db78fc7ec2a5d7c472d823e,https://www.mycareersfuture.sg/job/research-scientist-9e14d21c6db78fc7ec2a5d7c472d823e,IT Research Scientist (Generative Models),Full Time,Company Undisclosed,,Professional,Information Technology,7000,12000,Monthly,03 Jan 2019,0,0,0,0,"The AI Research Group in the Office of the CTO is focused on discovering new, innovative experiences for designers. We have been working on a large-scale research project, trying to use machine learning and deep learning to redefine industrial projects for people who work in the finance, telcos, engineering or construction (AEC) industry. We believe that human-AI interaction and collaboration can create a paradigm shift for the users to design and create better results more efficiently. Currently, we have several focused research directions, and Generative Adversarial Networks (GANs) is one of the most important. We have looked into numerous GAN structures and applied them for different purposes, and the rich results triggered us to further investigate the potential of it, including the fundamental theories and applications, e.g., generating variations, multi-representation translations, and GAN for data types other than images. Therefore, we are seeking for an expert on generative models (GANs and VAEs - Variation AutoEncoders) who is interested in exploring this new territory with us.   Responsibilities  Research, invent, and implement novel machine learning algorithms and systems for generative models including GANs and VAEs Build industrial ai solution for deep-learning-assisted platform with a cross-disciplinary team, including designers, big data developers, deep learning researchers and interns Keep current with latest trends and technologies to help future research subjects and anticipate development needs Bonus to write technical papers to top-tier conferences such as NIPS, CVPR, ICML, ICCV, ECCV, and SIGGRAPH "," Top-tier publication records, including but not limited to NIPS, CVPR, ICML, ICCV, ECCV, and SIGGRAPH Hands-on experience in Machine Learning, Deep Learning, Artificial Intelligence, and Data Science and their frameworks, such as Tensorflow, Pytorch, and Caffe Broad and deep understanding of the rapid development of machine learning and deep learning research Ability to quickly adapt to new situations and to learn new technologies Ability to collaborate and communicate effectively with a multicultural local and remote team Knowledge of deep learning algorithms is a plus Interests in Reinforcement learning is a plus Knowledge of 2D and 3D computer graphics and visualization techniques is a plus Experience with HPC, GPU computing, cloud computing and parallel programming is a plus "
235,ba6127e745a10ce5155e458624a308bb,https://www.mycareersfuture.sg/job/office-planning-manager-republic-polytechnic-ba6127e745a10ce5155e458624a308bb,Office of Planning - Manager (Data Analyst / Scientist),Full Time,Republic Polytechnic,9 WOODLANDS AVENUE 9 738964,Unknown,"Education and Training, Public / Civil Service",5700,6300,Monthly,03 Jan 2019,0,0,0,0,"You will be part of a new Data Analytics (DA) Unit that is responsible to drive the following objectives  Undertake DA projects, in partnership with internal departments as well as other organisations, on students’ learning and outcome, staff teaching, policy formulation/changes, work processes improvement and strategic planning. Provide advice and guidance to other departments to undertake DA projects; Champion and promote the use of data analytics; Work with internal and external technical teams to ensure usability and integrity of data for DA work  As a Data Analyst/Scientist, you will have the opportunity to:-  Translate business requirements and objectives into data models and effective implementation/ dashboard solutions. Migrate existing excel-reports and design dashboards and reports using visualization tools such as Tableau. Adopt and apply suitable machine learning, predictive models or other relevant techniques on a variety of data to derive meaningful statistics, uncover new actionable insights and predictive analytics. Promote understanding of the ecosystem of Data Science/ Big Data tools including data extraction and transformation Collaborate with end users, software development and database engineers in the planning, development and delivery of solutions. Recommend and communicate data-driven findings to both technical and non-technical stakeholders.  Spearhead objectives of DA Unit in alignment to RP’s organisational mission.   Requirements:  Experience in working with visualisation tools such as Tableau and creating insightful visualisation and analytics. Ability to create optimized data models and dashboards to address the business requirements from data sources such as MS SQL, Excel and flat file formats. Excellent people skills — you’ll be meeting with stakeholders to translate business needs into technical requirements. Strong attention to detail, time management skills and ability to work under pressure Relevant qualification in technical field such as Information Technology or equivalent Minimum of 2 years in data science, engineering or analytics role. Less experienced candidates may be considered for appointment as Assistant or Deputy Manager. Experience in using Python, R, databases/ SQL, machine learning techniques and in Education organisations or Institutes of Higher Learning will be advantageous.   ",None
236,1be805e7746666d2d71dcd49e2fdf825,https://www.mycareersfuture.sg/job/research-scientist-1be805e7746666d2d71dcd49e2fdf825,IT Research Scientist (Finance Engineer),Full Time,Company Undisclosed,,Professional,Information Technology,7000,12000,Monthly,03 Jan 2019,0,0,0,0,"We maintain a strong team of financial modelling professionals, known as the Financial Modelling Group (FMG), which is responsible for the ongoing research and development of all analytics underlying our platform.   Responsibilities  FMGs mandate to deliver robust, scalable models and solutions requires a close working relationship with Risk and Quantitative Analysis (RQA), the global investment teams and the Product Group The candidate will be a key member of the FMG Advanced Data Analytics group The candidate will be performing machine learning research and creating tools and solutions in the finance space that can help our clients with their investment decisions The position is for an experienced individual in the field of machine learning research with a focus on deep learning In addition to providing subject matter expertise and the candidate should be comfortable with multiple programming languages and multiple frameworks and technologies to support the modelling requirements of the diverse nature and demands of the team "," Strong expertise in deep learning with solid understanding of different types of neural networks (e.g., Reinforcement Learning, Deep Q Learning, etc.) Experience in applying deep learning to trade, risk, natural language processing, data mining, information theory, etc Proficient in programming in two or more languages such as Python, R, Lua, etc. Proven experience with major deep learning libraries (e.g., TensorFlow, PyTorch, Caffe) Strong communication skills; ready to face off with finance and business subject matter experts on challenging problems Team-oriented, innovative, performance-driven, intellectually curious, and fiduciary mindset Experience with GPU (CUDA) programming is a plus Experience with cloud platforms (AWS, GCP, Azure) is a plus Knowledge of parallel computing and distributed system (e.g., Hadoop, Spark, ElasticSearch) is a plus   "
237,7052ad63358d53a3600d97355c560d16,https://www.mycareersfuture.sg/job/software-engineer-%E2%80%93-future-mobility-sensing-freight-singapore-mit-alliance-research-technology-centre-7052ad63358d53a3600d97355c560d16,Software Engineer – Future Mobility Sensing for Freight (Ref: IRG_FM_2018_026),"Contract, Full Time",SINGAPORE-MIT ALLIANCE FOR RESEARCH AND TECHNOLOGY CENTRE,,Professional,Information Technology,3300,6600,Monthly,03 Jan 2019,1,0,0,0,"Project Overview Future Mobility Sensing (FMS) is a next-generation automated travel and freight survey system that leverages advanced sensing technologies, and machine learning techniques to deliver previously unobtainable mobility behavioral data and insights. It integrates sensing devices, such as GPS loggers and pervasive smartphones, to collect geo-referenced data; implements back-end machine learning engine to infer stops, activities and modes of transportation; provides interfaces on both web and phone for users, such as truck drivers and shipment handlers, to validate their activities and provide feedback, and also supports performance evaluation by presenting insights derived from the collected data in intuitive and comparative views. In the continuous effort of innovating FMS to better support the study of urban freight, a logistic performance evaluator is being designed and implemented. In general, it works not only as an informative incentive but also as an analytical tool to assist users, such as drivers, establishments and government agencies, to facilitate more efficient logistics and transport operations.   Responsibilities We are currently seeking a Software Engineer to join our FMS Freight team at the Future Urban Mobility Group for the development of data visualization component in the Logistic Performance Evaluator. The job scope are as follows:  Contribute to the design of the FMS Freight system architecture Design and develop intuitive and interactive visualization components to present analysis results derived from data management and fusion components Design and develop the logistic performance evaluator web system:   Develop and maintain the backend system/database Design and develop API endpoints to support the integration with FMS Freight APP Design and implement user analytical dashboards to support the performance evaluation with comparative views Develop data aggregation engine to query fused datasets based on user requests and transform query results to presentable forms used in dashboards   Coordinate with the team to deploy the system on production, address issues/bugs reported by testers/users, and support the system maintenance Improve FMS Freight system in terms of code efficiency and scalability, and customize the system to support on-going projects. Manage regular project status reporting to seniors and peers and assist in publishing new findings in journals/conferences. "," Bachelor’s or Master’s degree in Computer Science, Software Engineering, Human-Computer Interaction, or other related disciplines Independent and self-motivated, yet able to work as part of a multidisciplinary team. Good communication and interpersonal skills. 1 to 3 years’ experience in web application design and development Skilled in user interface and data visualization design and implementation Have expertise with the following:   Ruby on Rails 4.1+ (5.1+ preferred), Nodejs Relational databases (MySQL and PostgreSQL) and No-relational database (Mongodb) Javascript, HTML, CSS, D3.js, Leaflet.js, Cesium.js and jQuery.js Test Driven Development Git, usage of workflows such as the Github workflow RESTful API’s and back-end services UNIX systems proficiency (Ubuntu, Debian) Candidate with the following will have an advantage: Building highly scalable applications Familiarity with location-based data (GIS) Knowledge of the AWS Stack (EC2, S3)    The position will be based at the SMART FM Offices on the new campus of the National University of Singapore (NUS). The Software Engineer will work with an integrated team of faculty, researchers and students from SMART, MIT and Singapore partners, namely: Dr Linlin You (SMART), Dr Fang Zhao, Prof Christopher Zegras (MIT), and Prof Moshe Ben-Akiva (MIT).   Interested applicants will have to submit their full CV/resume, a cover letter and a list of three references (including reference names and contact information) via the website. We regret that only shortlisted candidates will be notified."
238,f00237c5878e10b81927de26eaab04fa,https://www.mycareersfuture.sg/job/research-scientist-agoda-company-f00237c5878e10b81927de26eaab04fa,Research Scientist,"Permanent, Full Time",AGODA COMPANY PTE. LTD.,"PRUDENTIAL TOWER, 30 CECIL STREET 049712","Manager, Professional",Information Technology,5000,10000,Monthly,03 Jan 2019,0,0,0,1,"We’re Hiring Senior Data Scientist / Machine Learning Expert! Agoda is a Booking Holdings (BKNG) company, the world’s leading provider of brands that help people book great experiences through technology. We have the dynamism and short chain of command of a startup and the capital to make things happen. What’s stopping you from getting in touch? We move fast – why wait ages to see your ideas go live?  Work on tough challenges, safe in the knowledge that you are surrounded by people as smart as you are (if not smarter!) to help solve them.  And while we’re on the subject, Agoda people come from over 65 countries:  It’s an incredible technical creative melting pot.  Technology is not just what we do – it’s at the heart of who we are.  We put cutting-edge technology in your hands so you can help us change the way people run their lives. We want you to come here so they can get there – and get your career going places, too. Maintaining this growth requires an incredible amount of data, a superior IT infrastructure, and world class talent to bring it all together. Your role is to:  Crack our business problems and come up with deployable machine learning models Interface with business to make sure they are asking the right questions Sift through our data and find us some gems  Be a world-class hands-on deploy master ","Charm us with:  An earned stripes in coding, in data handling, in statistics and in machine learning (5 years of experience is a must) A good balance between theory and practice and a strong desire to learn and keep up with the latest technologies (an academic quantitative degree, preferably a PhD, earns more points) A good knowledge of what’s “Under the hood” of statistical methods Coding, coding, coding (R, Python, C#, Java, C++, Scala, …) Some extra points on: SQL, NLP, business acumen, blog writing, good sense of humor "
239,583a80f07bd7db487766b3b9b6ce6a5c,https://www.mycareersfuture.sg/job/computer-vision-583a80f07bd7db487766b3b9b6ce6a5c,IT Computer Vision,Full Time,Company Undisclosed,,Professional,Information Technology,7000,12000,Monthly,03 Jan 2019,0,0,0,0,"The position focuses on research and development of computer vision and machine learning algorithms toward analysis, segmentation, recognition, reconstruction, and interpretation of scenes captured by multi-modal data streams including video cameras and range sensors.   Responsibilities  Research and development of computer vision, machine learning, and optimization algorithms for feature selection, semantic segmentation, odometry, motion analysis, and recognition/tracking/forecasting of objects and persons Design, development, and integration of the software systems and architectures necessary to realize research prototypes Develop and evaluate metrics to verify reliability of the proposed algorithms Participate in data collection, sensor calibration, and data processing Participate in ideation, creation, and evaluation of related technologies in various domains including scene/traffic objects and indoor robotics Contribute to a portfolio of vision bots, academic publications, and prototypes to demonstrate research value "," Experience in open-source Deep Learning frameworks such as TensorFlow, Pytorch, CNTK, or Caffe Hands-on experience in handling multi-modal sensor data Strong familiarity with machine learning techniques pertaining to visual recognition and/or video analytics Highly proficient in software engineering using C++ and Python Strong written and oral communication skills including development and delivery of presentations, proposals, and technical documents Strong publication record in one or more of the following areas: computer vision, machine learning "
240,ffe184d401a87d4994b2b6eccab06423,https://www.mycareersfuture.sg/job/project-manager-mangosteen-bcc-ffe184d401a87d4994b2b6eccab06423,Project Manager,Full Time,MANGOSTEEN BCC PTE. LTD.,"EON SHENTON, 70 SHENTON WAY 079118",Executive,"Banking and Finance, Information Technology",8500,10000,Monthly,03 Jan 2019,0,0,0,0,"The Company Bambu is a Fintech startup which specialises in providing Robo-Advisory solutions for banks, insurance companies and non-financial industries like Telcos & E-Commerce. Leveraging on deep learning technologies, we believe that we can change the way people save, invest and manage their wealth. We are a fast-growing startup based in Singapore and Hong Kong. Founded in 2016, we have raised funding from the likes of Franklin Templeton and Wavemaker, achieved a global network of prospects and established clients like Standard Chartered and Thomson Reuters. We launched Singapore’s first Robo-Advisory platform for Crossbridge Capital, a global wealth management firm. We have attained multiple accolades. We won the Best Early Stage Startup at Fintech Finals 2017and the Best Show Award in FinovateAsia 2017 for our innovative machine learning People Like Me. We are also Alumni of SuperCharger 2.0 Accelerator program and top 24 finalists at Jumpstart organised by Alibaba Entrepreneurs Fund. Job Descriptions Do you thrive planning, overseeing and delivering clients projects? Do you enjoy coordinating project teams? Are you looking to join a young and dynamic work environment? If you answered yes to all these questions, we are interested in talking to you. The successful candidate will be in charge of:  Developing project scopes and objectives, involving all relevant stakeholders Developing a detailed project plan to track progress Coordinating internal resources (business analysts, web designers, developers) for the execution of projects Ensure that all projects are delivered on-time, within scope Manage the relationship with the client and all stakeholders "," High level understanding of software development and web technologies At least 2 years of experience successfully delivering technology related projects Cross functional coordination Organisational skills Excellent verbal, written, interpersonal communication "
241,5f3a7aa4af01e8e7a13c508f667d6a4a,https://www.mycareersfuture.sg/job/research-scientist-5f3a7aa4af01e8e7a13c508f667d6a4a,IT Research Scientist (Speech Recognition),Full Time,Company Undisclosed,,Professional,Information Technology,7000,12000,Monthly,03 Jan 2019,0,0,0,0,"Purpose We are the ground-breaking cloud-based platform AI that powers world businesses. Our mission is to push the envelope in Deep Learning and Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers. We’re looking for a Research Engineer to help build industry-leading conversational technologies that customers love. As a Research Engineer in the team, you will be responsible for translating business and functional requirements into concrete deliverables with the design, development, testing, and deployment of highly scalable distributed services. You will also partner with scientists and platform engineers to help invent, implement, and connect sophisticated algorithms to our cloud based engines. A successful candidate should have knowledge of research domains including AI, NLU, ML, and Dialog Management. They should also be very agile in developing flexible software with respect to scientific, experimentation methods and usage patterns.   Responsibilities  Developing and maintaining core system features Helping define product features, drive the system architecture, and spearhead the best practices that enable a quality product Working with scientists and other engineers to investigate design approaches, prototype new technology, and evaluate technical feasibility Operate in an Agile/Scrum environment to deliver high quality software against aggressive schedules   ","Requirements  Experience with programming languages such as C/C++, Java, Perl or Python and open-source technologies (Apache, Hadoop) Experience with OO design and common design pattern Knowledge with data structures, algorithm design, problem solving, and complexity analysis Experience defining system architectures and exploring technical feasibility trade-offs      Bonus Points  Experience developing cloud software services and an understanding of design for scalability, performance and reliability Experience with Deepspeech and other deep learning speech recognition models Experience optimizing for short term execution while planning for long term technical capabilities Ability to prototype and evaluate applications and interaction methodologies Ability to produce code that is fault-tolerant, efficient, and maintainable Academic and/or industry experience with standard AI and ML techniques, NLU, and scientific thinking Experience working effectively with science, data processing, and software engineering teams Ability and willingness to multi-task and learn new technologies quickly Written and verbal technical communication skills with an ability to present complex technical information in a clear and concise manner to a variety of audiences   "
242,246df90bbfbc78d57c8323ffb1faea47,https://www.mycareersfuture.sg/job/software-engineer-rd-image-camera-processing-chai-chee-supreme-hr-advisory-246df90bbfbc78d57c8323ffb1faea47,Software Engineer  /  R&D on Image / Camera processing / chai chee,Permanent,THE SUPREME HR ADVISORY PTE. LTD.,"AZ @ PAYA LEBAR, 140 PAYA LEBAR ROAD 409015",Executive,Information Technology,3000,4000,Monthly,03 Jan 2019,0,0,0,1, Experience with DFT (Discrete Fourier Transform)  Experience with watermarking   Experience with cost function for minimization problem  Experience with machine learning   Experience with Java  Experience with QR Code   Good in mathematics and physics," 3~5 years’ experience with R&D in image or camera processing  Experience with OpenCV   Experience with image alignment, in particular perspective transformation   Experience with image scaling and interpolation   Experience with thresholding and image binarization   Experience with hash computation "
243,56b499a2c7687564cefe00167a410c3d,https://www.mycareersfuture.sg/job/senior-ai-data-scientist-unscrambl-singapore-56b499a2c7687564cefe00167a410c3d,Senior AI Data Scientist,Full Time,UNSCRAMBL SINGAPORE PTE. LTD.,,Manager,Engineering,7000,10000,,03 Jan 2019,0,0,0,0,"You will be working with our product development team to incorporate new statistical, machine learning and other analytic models in our platform. Examples of models are customer segmentation models, purchase propensity models, recommendation models, churn models, anomaly detection models, time-series prediction models, natural language processing, etc.  These would be used for purposes like marketing, customer care, patient prognosis, predictive maintenance, etc. across various industries like telecommunications, banking, healthcare, retail, etc. You’ll also work with our sales and delivery teams to develop and tune models for certain customers, and to help operationalize the models in production settings. Finally, we are looking for creative thinkers to help us innovate as we design and implement new and relevant features in our product.","  Hands on experience developing Python (primarily version 2.7) applications on Linux   Knowledge of statistical and machine learning packages, especially in Python, and experience using notebooks   Understanding of basic software engineering design and development principles   Good presentation and communication skills, and ability to interact with customers   Deep knowledge of Natural Language Processing techniques and tools     Experience with SQL and NoSQL databases   Experience in working with Big Data and Stream Processing systems (such as Hadoop, Spark, Storm, etc.).   Experience in telecommunications, banking, healthcare or retail domains   Experience in time series analytics   Knowledge of data visualization packages, in Python and outside  "
244,498cc9147af91ba791c866f80119be06,https://www.mycareersfuture.sg/job/automation-developer-bot-developer-keyreply-498cc9147af91ba791c866f80119be06,Automation Developer  /  Bot Developer,"Permanent, Full Time",KEYREPLY PTE. LTD.,,Junior Executive,General Management,2800,3800,Monthly,03 Jan 2019,0,0,0,1,"You are: The Head Honcho Who Makes Things Happen You will in charge of driving projects with clients. Conduct business analysis with the clients, understand the challenges they face, the systems they use and design solutions with our technology to execute the project. You will be designing the automation workflows, training the machine learning models and work with clients closely to build, launch, monitor and improve the bots post launch. You will be handling clients' data, and effectively strategize the training methods for a scalable and efficient deployment. You will also be doing regular training of live bots to optimize for performance. You will also be in charge of training clients and preparing documentation for platform and customer support. Internally, you will work closely with the software engineers to deliver the project. This role is a hybrid between project operations and software engineering. You need to know enough technical knowledge to understand how to create a bot for the intended purpose. At the same time, you need to interact with clients and think from the client's perspective to build a bot that suits their needs and maximise the potential of chatbot automation for their organisation. You will also be building demos for sales activities too. You will also be assisting the project manager for project reporting and administration. You will be managing the projects using the Agile methodology. Training will be provided. Perks and Benefits  Competitive salaries Flexible vacation policy and work arrangements. Cool founders and colleagues with lots of opinions about the world. Lots of autonomy and freedom to suggest improvements to the company. Team activities, lunches, games, outings, bean bag Medical benefits ","Requirements:  A logical and sharp thinker who is able to ask the right questions to guide clients to make effective decisions. Interest in Artificial Intelligence and Natural Language Processing. Must be a self starter who thrives on constantly improving our clients' bots and our platform.  Nice to have:  If you are fluent in multiple languages (on top of English) - this will be a plus point. Front end programming experience and experience with Microsoft Power BI/Tableau will be a plus - this is not a hard requirement. Industry experience in insurance, banking, healthcare and HR will also be helpful. "
245,73d0060cce8294fd4f597f566452ff4a,https://www.mycareersfuture.sg/job/senior-manager-orbium-73d0060cce8294fd4f597f566452ff4a,Senior Manager,Permanent,ORBIUM PTE. LTD.,79 ANSON ROAD 079906,Senior Executive,Consulting ,,,Monthly,03 Jan 2019,0,0,0,1," Support the growth of our management consulting business in Singapore Act as a subject matter expert on all topics related to Digital. This should include familiarity of some or all of the following:  The main business models in the digital banking space Software vendors Digital banking implementation experience (mobile, tablet and online) Digital banking strategy Machine learning and software robotics Data analytics & big data Natural language processing  UX design  Work with our clients in one or more of the following areas: Strategy and Operations, Transformation, Digital Develop and maintain a sustainable relationship with existing and potential clients in the wealth management sector Lead, coach and manage our consulting teams Organize and participate in industry events Produce leadership articles on topics of interest to the wealth management industry  ", University degree or equivalent in Business Management or related discipline At least 10-15 years of relevant consulting or banking experience. Experience with major consulting firms would be an asset Good understanding of the wealth management and banking business Analytical and quick learner with the ability to work under pressure and manage tight deadlines Demonstrate flexibility to travel for work Strong communication skills with an excellent command of written and spoken English. 
246,1067207cdfeb3f7d3144d769cf67a777,https://www.mycareersfuture.sg/job/rpa-analyst-terrabit-consulting-1067207cdfeb3f7d3144d769cf67a777,RPA Analyst,Contract,TERRABIT CONSULTING PTE. LTD.,,Middle Management,Information Technology,6000,8000,Monthly,03 Jan 2019,1,0,0,0," To work with key stakeholders to execute engagement sprints with exceptional status reporting To identify risks, undertake root cause analysis, build mitigation plan around it and seek support in appropriate forums to ensure delivery and outcome parameters To work with Client's Intelligent Automation leadership in practice development through: Development of Intelligent Automation proof of concepts (POC) in advanced stages in terms of Machine Learning, Conversational Intelligence, and Artificial Intelligence etc. Configuring new Blue Prism (primary) /UiPath processes and objects using core workflow principles that are efficient, well structured, maintainable and easy to understand. Creating and maintaining solution documentation. Supporting existing processes and implementing change requirements as part of a structured change control process. Monitoring, scheduling and running Blue Prism/UiPath processes, ensuring the stability of the Blue Prism IT environment Monitoring – Daily administration of the Blue Prism live environment (Running processes, maintaining resource PCs, viewing logs etc.) and submit the daily health check report and job-run status report to the key stake holders. Facilitating workshops, working with process owners/SMEs and technology teams to analyse and assess automation feasibility, as well as documenting business requirements, processes and work instructions    "," 5 - 8 years in Technology / Management Consulting with focus on one or more industries, functions, enterprise solutions. 2+ years in delivering Intelligent Automation engagements across process assessment, vendor selection, business case development, implementation, and automation center of excellence etc. is desirable. Ability to work with automation / robotics tools Blue Prism and UiPath and understanding of the technical architecture. Certification in any of these tools is desirable. Extensive experience in delivering at least 10+ process or minimum 5-10 FTE equivalent Experience in creating and maintaining PDD and SDD. Some experience with broader business process re-engineering efforts and principles (Lean, workflow design, etc.). Proficiency and experience in programming (VB.NET, C#, JavaScript, HTML, CSS) is advantageous Bachelor’s Degree qualification. "
247,a65a4c01c9f1798c0f6e4cc8f4aeb777,https://www.mycareersfuture.sg/job/ai-product-manager-a65a4c01c9f1798c0f6e4cc8f4aeb777,AI Product Manager,Full Time,Company Undisclosed,,Professional,Information Technology,7000,12000,Monthly,03 Jan 2019,0,0,0,0,"We are looking for an AI Product Manager to spearhead the product platform development. You will leverage our years of internal Big Data and Machine Learning investments to build the internal “ML Platform”. The ML Platform is a set of tools that dramatically accelerate the full lifecycle of ML feature development from data pipeline, to modelling, to deployment and more. As this toolset achieves internal maturity, you will be heavily involved in the creation and launch of new ML-related products and services.   Responsibilities  Collaborate with engineering and design teams to prototype, validate, and ship new products, including preparing product specifications, coordinating development activity, and tracking progress of in-flight projects Work closely with research, product marketing, customer success, analytics, and users to deeply understand, document, analyze, and synthesize user needs into product priorities, roadmap plans, and detailed specifications "," Good understanding of Big Data, Cloud and Machine Learning Technologies Experience launching successful products and features, preferably on multiple platforms Customer obsession: strong ability to understand and communicate customer needs and design products that solve them Excellent written and oral communication skills Proven ability to lead teams and work cross-functionally in a highly collaborative environment "
248,c73d5c3ade753f4cf2312c09a2da5f10,https://www.mycareersfuture.sg/job/scrum-master-c73d5c3ade753f4cf2312c09a2da5f10,IT Scrum Master,Full Time,Company Undisclosed,,Professional,Information Technology,7000,12000,Monthly,03 Jan 2019,0,0,0,0," There will be a few projects on-going at any one time with 10 FTEs and 5-10 data engineering consultants, involving NLP, ML (Machine Learning), AI (Artificial Intelligence), NN Experience of working with Advanced Analytics or Data Science teams and projects "," Must be Scrum Master certified Experience as a Project/Programme Manager and Scrum Master working on Infrastructure and Application development projects Demonstrated technical expertise in AI, Machine Learning, and data processing Experience with applied mathematics techniques including Data Mining, Statistical Analysis, Predictive Modelling, Algorithm Development Experience with GCP, AWS tech stack (Spark, Hadoop), and related Big Data Technologies Breadth of knowledge across statistical methods and machine learning algorithms Confidence, enthusiasm, and drive, flexible and willing to adapt to the changing requirements of a dynamic industry Exceptional communication & customer interaction skills Proven successful experience of delivering projects end-to-end from discovery to production of Machine Learning and predictive models Commercial awareness of financial products, as well as the unique challenges faced in the financial sector, is highly desirable Excellent communication and presentation skills, with the ability to interact with clients and internal stakeholders Ideally experience contributing to professional communities as a speaker, author or online contributor Consultative skills, able to communicate complicated technical and analytical information to non-technical audiences "
249,0c0cbc102e71f9ece07fd7d5a4035d33,https://www.mycareersfuture.sg/job/research-assistant-0c0cbc102e71f9ece07fd7d5a4035d33,Research Assistant,"Contract, Full Time",Company Undisclosed,,Professional,"Others, Sciences / Laboratory / R&D",3250,4500,Monthly,03 Jan 2019,1,0,0,0,The candidate will perform big data analysis and he/she should be familiar with machine learning and artificial intelligence., Bachelor’s degree in engineering or computer science Able to work well with the research team 
250,5fcad1410f32a0b2fb8c85c80e258ff2,https://www.mycareersfuture.sg/job/ai-data-scientist-amarisai-5fcad1410f32a0b2fb8c85c80e258ff2,AI DATA SCIENTIST (MACHINE COMPREHENSION),Permanent,AMARIS.AI PTE. LTD.,"CANTONMENT CENTRE, 150 CANTONMENT ROAD 089762","Professional, Executive, Senior Executive",Information Technology,3500,7000,Monthly,02 Jan 2019,0,0,0,1,"We are looking for exceptional Machine Comprehension Data Scientists to embark on our journey to deploy world class deep learning and machine learning algorithms in the investment and portfolio management space ​ The Data Scientist (Machine Comprehension) should have a PhD or Masters in Computer Science, Statistics, Deep Learning or Machine Learning and a strong background in statistical methods such as Bayesian statistics, time series, and feature engineering. ​ If you have a passion for building state-of-the-art deep learning and machine learning models and have an keen interest in Natural Language Processing and semantic AI, this is your opportunity.","  Implement state-of-the-art deep learning and machine learning models for feature engineering and question/answer/prediction in investment platform   Conduct original research on our large repository of data, both proprietary and open-source   Write production-level code linking new and existing data pipelines with scripts for feature engineering, machine learning predictive models and visualization   Write tests to check for integrity of our data, models and predictions  "
251,fd635abeb208e1a780f5a96950c67e8c,https://www.mycareersfuture.sg/job/research-fellow-nanyang-technological-university-fd635abeb208e1a780f5a96950c67e8c,Research Fellow,"Contract, Full Time",NANYANG TECHNOLOGICAL UNIVERSITY,"NANYANG TECHNOLOGICAL UNIVERSITY, 50 NANYANG AVENUE 639798",Non-executive,Sciences / Laboratory / R&D,4000,4500,Monthly,02 Jan 2019,1,0,0,0,"Established in 1981, the SCHOOL OF ELECTRICAL AND ELECTRONIC ENGINEERING (EEE) http://www.eee.ntu.edu.sg is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With more than 150 faculty members and an enrolment of more than 4,000, of which about 1,000 are graduate students, it is one of the largest EEE schools in the world and ranks 6th in the field of Electrical & Electronic Engineering in the 2017 QS World University Rankings by Subjects. Job Description: Candidate has to design and develop security modules and low-power machine learning accelerator for implementation on hardware platform. He/She should be familiar with cryptographic primitives and sparse machine learning algorithms. The candidate must be familiar with digital IC design flow and has experience in CMOS ASIC design or FPGA implementation. He/she should be familiar with image recognition applications and Quality of Service analysis. Application Procedure: Interested candidates please send your CV/resume to: Prof Chang Chip Hong School of Electrical & Electronic Engineering Nanyang Technological University 50 Nanyang Avenue Block S2-B2c-97 Singapore 639798  E-mail Address for E-mailed Applications: echchang@ntu.edu.sg Electronic submission of application is highly encouraged. Only shortlisted candidates will be notified for interview.  ","  PhD in Electrical or Computer Engineering, Bachelors with at least 2nd upper or equivalent, Experience in hardware security or approximate computing and digital IC design from Verilog to layout, Should have published papers in top tier conferences/journals  "
252,45d7ce3b60661f1ec166b06dd04606cc,https://www.mycareersfuture.sg/job/senior-manager-data-engineer-lazada-south-east-asia-45d7ce3b60661f1ec166b06dd04606cc,"Senior Manager, Data Engineer",Full Time,LAZADA SOUTH EAST ASIA PTE. LTD.,"AXA TOWER, 8 SHENTON WAY 068811",Manager,Information Technology,8000,12000,Monthly,02 Jan 2019,0,0,0,0,"Team Introduction Lazada is the number one online shopping & selling destination in Southeast Asia – present in Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam. Lazada helps more than 80,000 local and international sellers as well as 2,500 brands serve the 560 million consumers in the region through its marketplace platform, supported by a wide range of tailored marketing, data, and service solutions. Lazada offers an excellent customer experience through a wide network of logistics partners and its own first- and last-mile delivery arm. Roles & Responsibilities  Implementing working data projects based on given technical specifications Develop real-time and batch data ingesting and processing pipelines to be used for analysis, machine learning, dashboards, alerts and visualizations. Work closely with partner teams to establish the optimal technical solution to business problems Monitor & manage data pipelines, ensuring accuracy and stability ", Educational background in Computer Science / Electrical Engineering or similar Understanding of database concepts and distributed processing systems Experience with programming and understanding of basic algorithms Strong command of SQL and database concepts Preferred previous knowledge of Hadoop or NOSQL databases Excellent communication & problem solving skills  
253,a9d71ec23787c5a7eee1c77151fc186a,https://www.mycareersfuture.sg/job/data-science-consultant-cpm-consulting-a9d71ec23787c5a7eee1c77151fc186a,Data Science Consultant,"Permanent, Full Time",CPM CONSULTING PTE. LTD.,78 SHENTON WAY 079120,Professional,Information Technology,6000,8000,Monthly,02 Jan 2019,0,0,0,1,"Primary Responsibilities:  Understand large data sets, build data models to address business problems Undertake data collection, pre-processing and analysis Build predictive models and machine learning algorithms  The role will involve analysis and extensive data crunching with good amount of hands on programming skills.","This role requires following skills and experience:  Proven experience (5+Years) as a Data Scientist or Data Analyst Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills    Candidate should possess good soft skills as mentioned below:  Should possess excellent problem solving and is able to work effectively in a less structured environment and manage time. Excellent verbal and written communication skills Work closely with onsite and offshore team members Willing to travel to the customers locations on need basis outside of Singapore "
254,ae8e5a163e647b3e2737ce279509770c,https://www.mycareersfuture.sg/job/senior-software-engineer-taiger-singapore-ae8e5a163e647b3e2737ce279509770c,Senior Software Engineer,Full Time,TAIGER SINGAPORE PTE. LTD.,26B TEMPLE STREET 058571,Senior Executive,Information Technology,7000,10000,Monthly,02 Jan 2019,0,0,0,0,"ROLES Taiger  seeks Software Engineers to join our engineering team and help us design and implement highly performing software. Successful candidates have a proven track record developing software for the Web and hold a BsC, MsC or PhD in computer science, engineering or related field. As a Software Engineer in Taiger you will contribute to the development of innovative products, based on state-of-the-art technologies, and able to make a significant impact in the industry. You should genuinely be excited by an unstructured, fast moving startup environment where your contribution matters. We are building a culture and team with those that are generally excited about the technology we are building and the problems we're solving. Joining a growing team where your responsibilities have a real potential to expand in scale and scope should be a compelling proposition to you. RESPONSIBILITIES   Build products and solutions based on state-of-the-art AI technology.   Apply research on the fields of NLP, Semantics and Machine Learning to create innovative, marketable products.   Develop algorithms and data models to implement new functionalities.   Design the architecture and behaviour of software modules.   Follow Agile practices to perform analysis, estimation, implementation, testing and deployment of applications.   Work in in autonomous, cross-functional Squads, taking ownership of development activities and sharing knowledge across peers.   Ensure technical quality through best practices such as TDD, Code Review, CI.   Bring ideas to the table to improve the technology and product.   Work with Engineering, Product and Delivery teams and be involved in key decisions.   Take leadership in driving projects or product features.   Mentor and guide junior developers and provide technical expertise where required  ","REQUIREMENTS  Team management experience 5+ years of experience in software development. BSc or MSc in computer science, engineering or a related technical discipline (or equivalent), preferred. Strong experience in Java EE, Spring. Solid knowledge of Object Orientation and Design Patterns. Knowledge on databases, e.g. MySQL, Oracle, SQL Server. Knowledge about architecture patterns, e.g. MVC, ETL, SOA, Microservices. Familiarity with Agile or XP methodologies. Knowledge of software best practices, like TDD, CI. Excellent written and oral communication skills in English. Ability to effectively communicate within the team, as well as with clients.  PREFERRED  Knowledge of frontend development - Javascript, HTML, CSS. Good understanding of security, performance, scalability aspects. Working knowledge on software lifecycle management and code organization. Experience as a tech lead or project manager. Proactivity in suggesting solutions and improvements. Familiarity or interest in AI, Semantic Technologies, NLP and Search Engines. "
255,281f489831dd168aaebcec4fb2d11bdb,https://www.mycareersfuture.sg/job/software-engineer-teralytics-281f489831dd168aaebcec4fb2d11bdb,Software Engineer,"Permanent, Full Time",TERALYTICS PTE. LTD.,,Professional,Engineering,6000,12000,Monthly,02 Jan 2019,0,0,0,1,"Your role We are searching for highly-motivated & talented software engineers to join our platform and product development teams in Singapore. Your responsibilities will include:  Driving the software architecture, design, development, testing, and deployment of our data analytics platform that currently processes more than 100 billion events every day Prototyping Scala and Spark pipelines operating on terabytes of location-based data Implementing statistical and machine learning algorithms efficiently and accurately Working together with a multi-disciplinary team of Software Engineers and Data Scientists to create scalable, enterprise-grade solutions ","Your profile You are a passionate software engineer with a keen interest in functional programming and are excited to learn and apply the latest techniques in location analytics.  Must have qualifications:  Expert-level proficiency in multiple programming languages, including functional programming Extensive experience with modern software development practices such as test-driven development, continuous integration, etc. Previously built and operated large-scale, high-availability backend systems Solid foundation in Computer Science, including algorithms and data structures Highly-proficient in Mathematics and English  Advantageous:  Experience in senior, lead, or architect roles Experience with “Big Data” platforms such as Hadoop, Storm, and/or Spark Good working knowledge of PostgreSQL and PostGIS Proficient in Scala and Python Deep understanding of distributed systems and databases Working knowledge of statistics and machine learning Domain expertise in telco systems or GIS "
256,55752d7d0ce29d656fdfe57d5cb14305,https://www.mycareersfuture.sg/job/firmware-engineer-sequax-55752d7d0ce29d656fdfe57d5cb14305,Firmware Engineer,Permanent,SEQUAX PTE. LTD.,55 AYER RAJAH CRESCENT 139949,Executive,Engineering,3000,7000,Monthly,02 Jan 2019,0,0,0,1,"  Help own architecture selection, engineering requirement specifications, and validation of future products and devices   Work cross functionally (software, product design, ID, program management, operations, finance, etc.) to deliver product to market   Validate designs through modeling, functional verification, characterization, and coexistence testing   Bringup up board's and execute unit tests   Assist in bringing design to mass production with on-site factory support; develop test methods, set requirements, verify performance capability   Terminate bugs with extreme prejudice     Develop automated test tools   Produce documentation as needed to test and maintain products   Keep your ear to the ground, helping us define and analyze industry best practices and important developments in the IoT space   You will implement key protocol, signal processing and numerical algorithms with very tight schedule and energy budgets.   You will select microcontrollers, define power management strategies, and review schematics with electrical engineers.   You will implement machine learning algorithm onto the embedded system.  ","   A deep understanding of EE fundamentals Familiar with principles of Electrical engineering and Circuit designs. Familiar with Board design's including Schematic capture and layout design Must understand basic hardware constructs like register, memory, etc. Must have Embedded programming experience in C and assembly. Significant experience with memory constrained microcontroller system. Three to five years related experience. MS degree in EE/CE/CS, preferred      Hands on experience in prototype bring-up, debugging, functional verification and manufacturing support.   Understanding of TCP/UDP, CANOpen, TRDP stacks and Ethernet, CAN, SPI, I2C and MVB Communication Interfaces.     Solid Work on board bring-up, build systems, user space scripting, and application dev on embedded Linux platforms   Work on board bring-up, build systems, user space scripting, and application dev on embedded Linux platforms   Embedded Programming using C/C++ for Control Systems with RTOS, FPGA and Microcontroller/Microprocessors – Intel, PIC, Freescale, ARM or equivalent.x86 and ARM   Cryptography and Blockchain TRNG   Direct experience with communication protocols including I2C, SPI, UART and CAN.     Problem Solving/Root Cause Analysis Skills for Embedded Systems   Experienced in Embedded Software Design/development/documentation using IDEs, UML/Enterprise Architect, Doxygen.   Experience or understanding of firmware design tools,hardware design principles and languages.      Understanding of basic testing, coding, and debugging procedures.   Ability to triage issues, react well to changes, work with teams and ability to multi-task on multiple products and projects   Accountability - Strong attention to detail and emphasis on meeting commitments   Ability to work within project schedules, budget constraints,   A high degree of self-discipline and self-motivation are required.   Ability to communicate, in written and oral form, detailed and technical engineering information, guidelines and standards/statutes/codes/ regulations to various audiences to ensure understanding to seek compliance.   Ability to make decisions and take action consistent with available facts, constraints, and anticipated consequences.   Strong skills in the usage of graphical presentation, databases, spreadsheets and word-processing software are required.   Experience building test frameworks for creating applications on various platforms   Good communication skills, good writing skills to write engineering specification and unit test plans   Strong logical reasoning and problem solving abilities   Good analytical and problem solving skills.    Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices   Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment  "
257,5db592052a62b3a5abb4aa282c8b8d14,https://www.mycareersfuture.sg/job/data-analyst-ent-vision-5db592052a62b3a5abb4aa282c8b8d14,Data Analyst,Permanent,ENT-VISION PTE. LTD.,,Executive,Information Technology,3500,4000,Monthly,01 Jan 2019,0,0,0,1,• Inspect and deep dive into data captured in enterprise systems and IOT devices • Build Machine Learning models and Heuristic algorithms for prescriptive analytics • Integrate Machine Learning models and Heuristic algorithms into backend application • Translate business requirements and raw data into effective visualisation and dashboards,"• Degree in Mathematics, Computer Science or a related discipline • 2 year statistical modelling, data analysis and machine learning in software environment • Strong skills in R, Python, Scikit and Microsoft SQL • Experience in Microsoft .Net development and visualisation tools • Highly proficient in statistical modelling and good analytical skills • Good communications skills, project planning and time management are pre-requisites • Singaporeans only"
258,eab34f0de2302ca3fc8ed31fe5eb0333,https://www.mycareersfuture.sg/job/full-stack-developer-ent-vision-eab34f0de2302ca3fc8ed31fe5eb0333,Full Stack Developer,"Permanent, Full Time",ENT-VISION PTE. LTD.,,Executive,Information Technology,4000,4500,Monthly,01 Jan 2019,0,0,0,1,"   ·   Front-end UX and dashboard development ·   Development of secured backend application framework including data access layer ·   Integrate backend application system with Machine Learning system ·   Discuss with business team and clients on solution requirements ·   Solution testing, deployment and regular software upgrades and updates","   ·   Degree in Computer Science or a related discipline ·   2-3 year full stack experience using Microsoft .Net and Python ·   Proficiency in HTML, CSS, JavaScript, jQuery and Ajax ·   Strong OOP skills including MS SQL database design, queries, views and stored procedures ·   Multiple projects in data management and systems integration using Web API, JSON, XML ·   Good time management and communications skills are pre-requisites ·   Singaporean only"
259,4ba6ab2ca6a4ff2110c986f8cf76415f,https://www.mycareersfuture.sg/job/engineering-client-experience-client-onboarding-tech-regional-lead-executive-director-goldman-sachs-services-4ba6ab2ca6a4ff2110c986f8cf76415f,"Engineering, Client Experience, Client Onboarding Tech, Regional Lead, Executive Director (48515)",Full Time,GOLDMAN SACHS SERVICES (SINGAPORE) PTE. LTD.,"ONE RAFFLES LINK, 1 RAFFLES LINK 039393",Executive,Banking and Finance,7500,15000,Monthly,31 Dec 2018,0,0,0,0,"What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.  Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.  Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. The Operations Division is the engine room that powers Goldman Sachs, and Operations Technology is driving their industrialization through automation, digitization and orchestration. Client Onboarding Technology is a global, multi-disciplinary team responsible for software products that safely, efficiently, and transparently bring new client relationships into the firm and ensure those relationships remain compliant with all internal and external regulatory policies and firm requirements. Partnering with colleagues from Technology, the Federation and all revenue divisions, COB Tech models all processes from inception through configured-to-trade. Using business intelligence gathered from these models, the team identifies and resolves bottlenecks in the flow though automation - including rules-driven decision making, machine learning, and natural language parsing. The successful candidate will assume responsibility for the regional team of developers and project managers in Singapore and work with stakeholders from both the local and global teams to deliver commercial solutions. There will also be opportunities to assume technical responsibility for design and development of one of our flagship products. HOW YOU WILL FULFILL YOUR POTENTIAL • Support the firm's growth by reducing the time required to successfully onboard a new business relationship • Improve customer satisfaction by reducing the number of touchpoints required to successfully onboard a new relationship. • Mitigate risk by fully understanding, modelling, and satisfying all required regulatory and compliance policies. • Thrill our internal stakeholders by rapidly and correctly delivering the most important features using iterative development and automated testing. • COB Tech is a new and growing team. You will have the opportunity to influence team structure, processes, and architecture. Motivated candidates will have immediate opportunities to assume responsibility for as much as they can handle and accelerate their careers accordingly.","SKILLS AND EXPERIENCE WE ARE LOOKING FOR • Experience leading, coaching, and developing a team of developers • Strong object-oriented fundamentals • Strong focus on automated testing • Strong Java skills • Independent thinking, willing to engage, challenge, and learn • Bachelors or Masters in Computer Science or related discipline • 10+ years of experience delivering software products to product, with minimal on-going support costs  Preferred Qualifications • Experience working in iterative or continuous delivery environments • Experience with test-driven development (jUnit, Mockito, Cucumber) • Experience with data (UML) or process (BPMN) modelling • Experience creating REST-ful web services • Experience with client onboarding or client due diligence systems Goldman Sachs is an equal opportunity employer. © The Goldman Sachs Group, Inc., 2018. All rights reserved"
260,9a2aa955a85e6e6d0ffcdf1adad0c234,https://www.mycareersfuture.sg/job/engineering-post-execution-securities-prime-clearing-technology-analyst-developer-goldman-sachs-futures-9a2aa955a85e6e6d0ffcdf1adad0c234,"Engineering, Post Execution Securities, Prime Clearing Technology, Analyst Developer (48106)","Permanent, Full Time",GOLDMAN SACHS FUTURES PTE LTD,"ONE RAFFLES LINK, 1 RAFFLES LINK 039393",Executive,Banking and Finance,7500,15000,Monthly,31 Dec 2018,0,0,0,1,"What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.  Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.  Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. The Operations Division is the engine room that powers Goldman Sachs, and Operations Technology is driving their industrialization through automation, digitization and orchestration What we do  Prime Clearing Operations Technology / Clearing Operations Engineering is responsible for building and enhancing the systems and processes that powers Goldman Sachs’ derivatives clearing business. We connect GS and our clients to over 40 clearing venues across the world. Every future or option that GS clears for ourselves or for our clients flows through our systems, which can be >1m day. We have several applications that make this happen. Most of these need to efficiently process high throughput, have rich operational functionality and handle significant financial exposure. They include:  Clearing venue and client connectivity Matching algorithms Trade booking and event processing flows Data lake for analytics   How will you succeed in the role? Show your attention to detail and the best practices when designing, developing and testing code. The complexity in derivatives products and the functional flows can be considerable. With the support of your team you'll build partnerships with our stakeholders across different operations, business, client services, engineering and external groups to implement effective and sometimes creative solutions. You will move quickly to engineer solutions for constantly evolving business or client demands. Also, you will consider strategic initiatives for future business growth, demonstrate the ability to see the big picture and deliver innovative ideas for complex flows. Demonstrating the ability to do both of these is key to your role. Our team is distributed globally (Bengaluru, London, New York, Singapore and Warsaw) it's a diverse set of skills, ideas and people. You will collaborate as part of this global team to forming strong relationships and implement solutions based on consensus. Keep learning and growing your skills. Neither technology or our business stand still, you'll be expect to grow alongside the team and keep bringing something new to the table. HOW YOU WILL FULFILL YOUR POTENTIAL  The primary role of the candidate is to design, develop, and support one or more components of the distributed Client Technology platform The candidate is expected to participate in the entire software development life cycle from definition of requirements through deployment As part of the product lifecycle, the roles includes support and maintenance of the existing platform The successful candidate will work closely with IT peers and business professionals to define behaviour, functionality and expected outcomes for the products under development The candidate is expected to work closely with colleagues and users in other regions ","SKILLS AND EXPERIENCE WE ARE LOOKING FOR  Strong analytical skills 1-2 years of Core Java development experience (solid understanding of Core Java concepts and Design Patterns). Similar expertise with equivalent object oriented languages also considered (e.g. C++/C#). 1-2 years RDBMS experience (Sybase or UDB preferred - able to write and analyze complex queries with multi-table joins and aggregate functions) 1-2 years OO design/development Strong communication skills Must be a self-starter  Preferred Qualifications  Unix environment working experience Scripting (Perl/Python/Shell) Test Driven development Javascript-based Web technology Tomcat experience a plus Big data technology stack Financial market knowledge RESTful web services  Goldman Sachs is an equal opportunity employer. © The Goldman Sachs Group, Inc., 2018. All rights reserved."
261,e8d59e776a022c474d8eca460576a5e3,https://www.mycareersfuture.sg/job/senior-business-intelligence-analyst-alphatech-business-solutions-e8d59e776a022c474d8eca460576a5e3,Senior Business Intelligence Analyst,Contract,ALPHATECH BUSINESS SOLUTIONS PTE. LTD.,,Senior Executive,Information Technology,6000,8000,Monthly,31 Dec 2018,1,0,0,0,"In this role, the Senior Business Intelligence Analyst serves as the primary bridge through the business to communicate high value information to support data-driven decision-making. He/she will continuously evolve management reporting, conduct complex data analysis and deliver business insights in an environment of rapid growth and increasing complexity. The successful candidate must be able to roll-up his/her sleeves, and work directly with large datasets and BI tools to solve challenging problems. He/she will be passionate about their work, detail-oriented, highly analytical and have excellent problem-solving skills.  Job Responsibilities:     Participate in the full lifecycle of an analytics or BI project: from gathering and understanding the end-user needs to implement a fully automated solution. Develop and provision of BI reporting through the deployment of self-service reports and dashboards Engages with business users as well as maintain a client relationship with data warehouse. Deploy Machine learning techniques to answer the appropriate business questions using R or Python. Visualize data using Tableau and create repeatable visual analysis for end users to use as tools. Take ownership of the existing BI platforms and maintain the data integrity and accuracy of the numbers and data sources. Know Agile - Scrum project management experience/knowledge - Ability to prioritise, pushback and effectively manage a product and sprint backlog. "," Minimum Bachelor’s degree in a quantitative field is required (engineering or economics) 3+ years of experience in business intelligence or any data analysis related role. Experience with Tableau, PowerBI or any standard data visualization tools. Proficiency with at least one scripting language (Python or R) is required. Should be comfortable in writing SQL queries to extract data for data analysis. Exhibits sound business judgment, a proven ability to influence others, strong analytical skills, and a proven track record of taking ownership, leading data-driven analyses, and influencing results Exposure to Advanced Analytics techniques for forecasting, regression and other basic machine learning techniques Ecommerce / logistics / fashion retail background a bonus. Experience in Marketing Analytics and Attribution Modelling is a bonus. "
262,f39a016ab5ca8fa81a04a348e1767f72,https://www.mycareersfuture.sg/job/engineering-prime-services-technology-prime-clearing-ops-associate-goldman-sachs-futures-f39a016ab5ca8fa81a04a348e1767f72,"Engineering, Prime Services Technology, Prime Clearing Ops, Associate (41542)","Permanent, Full Time",GOLDMAN SACHS FUTURES PTE LTD,"ONE RAFFLES LINK, 1 RAFFLES LINK 039393",Executive,Banking and Finance,5000,10000,Monthly,31 Dec 2018,0,0,0,1,"What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.  Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.  Want to push the limit of digital possibilities?  Start here.  Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. OUR IMPACT The Operations Division is the engine room that powers Goldman Sachs, and Operations Technology is driving their industrialization through automation, digitization and orchestration  A wide variety of projects are active in the Prime Clearing Operations space and we have a long pipeline of proposed business solutions. The primary role of the candidate is to design, develop, and support one or more components of the distributed Listed Derivatives Clearing System. The candidate is expected to participate in the entire software development life cycle from definition of requirements through deployment and support. The successful candidate will work closely with IT peers and Operations professionals to define behavior, services, and interfaces for the tools under development. The candidate is expected to work closely with colleagues and users in other regions. ","BASIC QUALIFICATIONS  Strong analytical skills 2+ years of Core Java development experience (solid understanding of Core Java concepts and Design Patterns). Similar expertise with equivalent object oriented languages also considered (e.g. C++/C#). 2+ years RDBMS experience (Sybase or UDB preferred - able to write and analyze complex queries with multi-table joins and aggregate functions) 2+ years OO design/development Strong communication skills Must be a self-starter  PREFERRED QUALIFICATIONS  Unix environment working experience Scripting (Perl/Python/Shell) Test Driven development Javascript-based Web technology Big data technology stack Financial market knowledge RESTful web services  Goldman Sachs is an equal opportunity employer. © The Goldman Sachs Group, Inc., 2018. All rights reserved."
263,d78f1b611212e9816fb3954edef0c3fb,https://www.mycareersfuture.sg/job/operations-engineering-business-application-development-engineer-analyst-goldman-sachs-services-d78f1b611212e9816fb3954edef0c3fb,"Operations Engineering - Business Application Development Engineer, Analyst (42909)",Full Time,GOLDMAN SACHS SERVICES (SINGAPORE) PTE. LTD.,"ONE RAFFLES LINK, 1 RAFFLES LINK 039393",Executive,Banking and Finance,5000,10000,Monthly,31 Dec 2018,0,0,0,0,"What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.  Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.  Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. The Operations Division is the engine room that powers Goldman Sachs, and Operations Technology is driving their industrialization through automation, digitization and orchestration You will be part of a diverse global technical team focusing on critical business problems interacting with multiple businesses, operations and technology teams. We are responsible for the critical client facing functions of Margin, Collateral Mgmt and Valuations. We aim to innovate and drive solutions through technology that will impact the bottom line for the firm. Job Summary • A wide variety of projects are active and we have a long pipeline of proposed business solutions. • The primary role of the candidate is to design, develop, and support one or more components of the Margin Platform. • The candidate is expected to participate in the entire software development life cycle from definition of requirements through deployment and support. • The successful candidate will work closely with IT peers and Operations professionals to define behaviour, services, and interfaces for the tools under development • The candidate is expected to work closely with colleagues and users in other regions.","Basic Qualifications • Core Java development experience (solid understanding of Core Java concepts and Design Patterns). • RDBMS experience (Sybase or DB2 preferred - able to write and analyze complex queries with multi-table joins and aggregate functions) • OO design/development • Strong communication skills • Must be a self-starter Preferred Qualification • Unix environment working experience • Scripting (Perl/Python/Shell) • RESTful web services • Financial market knowledge • Graph Database Experience • Big data technology stack • HTML5/Javascript Goldman Sachs is an equal opportunity employer. © The Goldman Sachs Group, Inc., 2018. All rights reserved"
264,b6b88903f8ec304d5ea54e7db9dbb6a0,https://www.mycareersfuture.sg/job/deployment-runtime-application-infrastructure-platform-devops-executive-director-goldman-sachs-services-b6b88903f8ec304d5ea54e7db9dbb6a0,"Deployment and Runtime - Application Infrastructure - Platform - DevOps, Executive Director (49224)",Full Time,GOLDMAN SACHS SERVICES (SINGAPORE) PTE. LTD.,"ONE RAFFLES LINK, 1 RAFFLES LINK 039393",Executive,Banking and Finance,7500,15000,Monthly,31 Dec 2018,0,0,0,0,"What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.  Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.  Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Platforms is a global, multi-disciplinary team responsible for researching, designing, testing and building world-class tools, practices and systems used across Goldman Sachs. Partnering with colleagues from Technology and the business, Platforms solves critical problems, maintains and strengthens essential systems, provides training and internal consultancy, and safeguards the firm’s culture of high-caliber software engineering. HOW YOU WILL FULFILL YOUR POTENTIAL • This role is for a team of DevOps Engineers to add run-the-bank operational capacity to the TRAIN team to be able to support the 26 bi-weekly releases of the C/C++ and Java codebases present on the various TRAIN SDLCs. • Our build train is a collection of tools and scripts that have been engineered at Goldman Sachs. The build train is responsible for building and deploying our risk management systems on a regular basic. This role is to provide DevOps support and assistance to the build train.","SKILLS AND EXPERIENCE WE ARE LOOKING FOR • Proficient in multiple scripted languages • Strong problem solving and analytical skills • Job monitoring and experience of handling job scheduling failures • Log file analysis  Preferred Qualifications • 3-10+ of industry experience • Unix/Win32 system programming • Expertise in with C++ builds and related tool chains • Experience of front line support and liason with business developers and infrastructure teams. • Shell scripting, Perl, Python skills Goldman Sachs is an equal opportunity employer. © The Goldman Sachs Group, Inc., 2018. All rights reserved"
265,e4d47a7bee09ea0254ab915e6c956bd7,https://www.mycareersfuture.sg/job/deployment-runtime-application-infrastructure-platform-developer-system-engineer-goldman-sachs-services-e4d47a7bee09ea0254ab915e6c956bd7,Deployment and Runtime - Application Infrastructure - Platform - Developer  /  System Engineer (49223),Full Time,GOLDMAN SACHS SERVICES (SINGAPORE) PTE. LTD.,"ONE RAFFLES LINK, 1 RAFFLES LINK 039393",Executive,Banking and Finance,7500,15000,Monthly,31 Dec 2018,0,0,0,0,"What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.  Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.  Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Platform is a global, multi-disciplinary team responsible for researching, designing, testing and building world-class tools, practices and systems used across Goldman Sachs. Partnering with colleagues from Technology and the business, Platform solves critical problems, maintains and strengthens essential systems, provides training and internal consultancy, and safeguards the firm's culture of high-caliber software engineering. Management and design of 3 core technologies for the firm: - A schedule based cross platform distributed computing system - A on-demand cross platform distributed computing system - Front End Web Development. HOW YOU WILL FULFILL YOUR POTENTIAL • Engage with application development teams to provide timely end-to-end delivery of appropriate platform solutions • Collaborate with application development teams and the development community at large to analyze and resolve escalations • Provide technical guidance on established best practices to IT community and the business • Partner with engineering teams to understand technology offerings and how they can be applied to solve business problems • Design and implement mid to large scale systems management software to automate existing tasks, streamline operations and improve productivity","SKILLS AND EXPERIENCE WE ARE LOOKING FOR • Team player, eager to work in a global organization • Energy, self-motivation and independence to manage multiple tasks • Highly knowledgeable of at least one of Linux, Windows and Solaris, Erlang, Python, Perl, C++, C, Java, SQL, shell scripting or Asynchronous frameworks • Knowledgeable of many other areas of technology (networking, hardware, etc) • Experience with distributed compute systems • At least 5 years experience in a relevant role (sys administration, cgi programming, etc) • Highly entrepreneurial and motivated • Highly organized • Strong oral and written communication skills  Preferred Qualifications • Some systems administration experience • BSc / MSc / PhD in relevant field (Comp Sci, Maths, Physics) • Experience managing performance, availability and scale of mid- to large-sized systems • Proven experience with all stages in the lifecycle of large distributed systems: inception, analysis, design, implementation, runtime, maintenance Goldman Sachs is an equal opportunity employer. © The Goldman Sachs Group, Inc., 2018. All rights reserved"
266,7065ec2439619d5ac43292df343dd22b,https://www.mycareersfuture.sg/job/deployment-runtime-application-infrastructure-platform-developer-system-engineer-goldman-sachs-services-7065ec2439619d5ac43292df343dd22b,Deployment and Runtime - Application Infrastructure - Platform - Developer  /  System Engineer,Full Time,GOLDMAN SACHS SERVICES (SINGAPORE) PTE. LTD.,"ONE RAFFLES LINK, 1 RAFFLES LINK 039393",Executive,Banking and Finance,7500,15000,,31 Dec 2018,0,0,0,0,"What We Do At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.  Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.  Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Platform is a global, multi-disciplinary team responsible for researching, designing, testing and building world-class tools, practices and systems used across Goldman Sachs. Partnering with colleagues from Technology and the business, Platform solves critical problems, maintains and strengthens essential systems, provides training and internal consultancy, and safeguards the firm's culture of high-caliber software engineering. Management and design of 3 core technologies for the firm: - A schedule based cross platform distributed computing system - A on-demand cross platform distributed computing system - Front End Web Development. HOW YOU WILL FULFILL YOUR POTENTIAL • Engage with application development teams to provide timely end-to-end delivery of appropriate platform solutions • Collaborate with application development teams and the development community at large to analyze and resolve escalations • Provide technical guidance on established best practices to IT community and the business • Partner with engineering teams to understand technology offerings and how they can be applied to solve business problems • Design and implement mid to large scale systems management software to automate existing tasks, streamline operations and improve productivity","SKILLS AND EXPERIENCE WE ARE LOOKING FOR • Team player, eager to work in a global organization • Energy, self-motivation and independence to manage multiple tasks • Highly knowledgeable of at least one of Linux, Windows and Solaris, Erlang, Python, Perl, C++, C, Java, SQL, shell scripting or Asynchronous frameworks • Knowledgeable of many other areas of technology (networking, hardware, etc) • Experience with distributed compute systems • At least 5 years experience in a relevant role (sys administration, cgi programming, etc) • Highly entrepreneurial and motivated • Highly organized • Strong oral and written communication skills  Preferred Qualifications • Some systems administration experience • BSc / MSc / PhD in relevant field (Comp Sci, Maths, Physics) • Experience managing performance, availability and scale of mid- to large-sized systems • Proven experience with all stages in the lifecycle of large distributed systems: inception, analysis, design, implementation, runtime, maintenance Goldman Sachs is an equal opportunity employer. © The Goldman Sachs Group, Inc., 2018. All rights reserved"
267,96d95bef56b1db3c5f789a45dc6c087f,https://www.mycareersfuture.sg/job/platform-application-infrastructure-developer-system-engineer-executive-director-goldman-sachs-services-96d95bef56b1db3c5f789a45dc6c087f,"Platform - Application Infrastructure - Developer  /  System Engineer, Executive Director (41113)",Full Time,GOLDMAN SACHS SERVICES (SINGAPORE) PTE. LTD.,"ONE RAFFLES LINK, 1 RAFFLES LINK 039393",Executive,Banking and Finance,7500,15000,Monthly,31 Dec 2018,0,0,0,0,"WHAT WE DO At Goldman Sachs, our Engineers don’t just make things – we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.  Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.  Want to push the limit of digital possibilities?  Start here. WHO WE LOOK FOR Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. TECHNOLOGY Our team of engineers builds solutions to the most complex problems. We develop cutting-edge systems and processes that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and crunch billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field. Job Summary & Responsibilities: Platform is a global, multi-disciplinary team responsible for researching, designing, testing and building world-class tools, practices and systems used across Goldman Sachs. Partnering with colleagues from Technology and the business, Platform solves critical problems, maintains and strengthens essential systems, provides training and internal consultancy, and safeguards the firm's culture of high-caliber software engineering.  Management and design of 3 core technologies for the firm:  A schedule based cross platform distributed computing system An on demand cross platform distributed computing system Software distribution   Engage with application development teams to provide timely end-to-end delivery of appropriate platform solutions Collaborate with application development teams and the development community at large to analyze and resolve escalations Provide technical guidance on established best practices to IT community and the business Partner with engineering teams to understand technology offerings and how they can be applied to solve business problems Design and implement mid to large scale systems management software to automate existing tasks, streamline operations and improve productivity ","Basic Qualifications:  Team player, eager to work in a global organization Energy, self-motivation and independence to manage multiple tasks Highly knowledgeable of at least one of Golang, Linux, Windows and Solaris, Erlang, Python, Perl, C++, C, Java, SQL, shell scripting or Asynchronous frameworks Knowledgeable of many other areas of technology (networking, hardware, etc) Experience with distributed compute systems At least 5 years of experience in a relevant role (sys administration, cgi programming, etc) Highly entrepreneurial and motivated Highly organized Strong oral and written communication skills  Preferred Qualifications:  Some systems administration experience BSc / MSc / PhD in relevant field (Comp Sci, Maths, Physics) Experience managing performance, availability and scale of mid- to large-sized systems Proven experience with all stages in the lifecycle of large distributed systems: inception, analysis, design, implementation, runtime, maintenance  Goldman Sachs is an equal opportunity employer. © The Goldman Sachs Group, Inc., 2018. All rights reserved"
268,8223513a45d754551eb4676165ec2c07,https://www.mycareersfuture.sg/job/data-scientist-reebonz-8223513a45d754551eb4676165ec2c07,Data Scientist,Full Time,REEBONZ LIMITED,"REEBONZ BUILDING, 5 TAMPINES NORTH DRIVE 5 528548",Executive,Information Technology,,,Monthly,31 Dec 2018,0,0,0,0,"Reebonz is looking for Data Scientist to join the Product team. The role for a Data Scientist is to build and implement machine learning models to make timely decisions in various departments and work with large amounts of structured and unstructured data to understand how our users are interacting with our brand, and communicate these insights with stakeholders. This is a NEWLY CREATED POSITION. Major roles and responsibilities:  To identify opportunities for leveraging company data to drive business solutions Develop processes and tools to monitor and analyze model performance and data accuracy Measure the effectiveness and accuracy of new data sources and data gathering techniques Mine and analyze data from company database to drive optimization and improvement of product development, marketing techniques and business strategies Use predictive modeling to increase and optimize customer experiences, ad targeting, revenue generation and other business outcomes Develop custom data models and algorithms to apply to data sets Develop company A/B testing framework and test model quality Coordinate with different functional teams to implement models and monitor outcomes ","Job Requirements:  Degree in Business, Marketing, Business Analytics, Marketing Analytics or Statistics Familiar using statistical computer languages (R, Python, SLQ) to manipulate data and draw insights from large data sets Strong problem solving skills on product development Familiar working with and creating data architectures Experience in machine learning techniques, advanced statistical techniques and concepts and experience with applications Excellent in verbal and written communication  Interested candidates are welcome to apply with an updated copy of their resume accompanied with their last drawn salary and earliest availability. We regret to inform that only shortlisted candidate will be contacted. "
269,2e349469014fdea34bcd43e560a6d275,https://www.mycareersfuture.sg/job/head-data-science-google-premium-services-singapore-google-asia-pacific-2e349469014fdea34bcd43e560a6d275,"Head of Data Science, Google Premium Services - Singapore",Full Time,GOOGLE ASIA PACIFIC PTE. LTD.,"MARINA BAY FINANCIAL CENTRE, 8 MARINA BOULEVARD 018981",Senior Management,Information Technology,14545,29090,Monthly,31 Dec 2018,0,0,0,0,"Company overview: Google is not a conventional company, and we don’t intend to become one. True, we share attributes with the world’s most successful organizations – a focus on innovation and smart business practices comes to mind – but even as we continue to grow, we’re committed to retaining a small-company feel. At Google, we know that every employee has something important to say, and that every employee is integral to our success. We provide individually-tailored compensation packages that can be comprised of competitive salary, bonus, and equity components, along with the opportunity to earn further financial bonuses and rewards. Googlers thrive in small, focused teams and high-energy environments, believe in the ability of technology to change the world, and are as passionate about their lives as they are about their work. For more information, visit www.google.com/careers. The area: gTech (general) Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of solution-oriented trusted advisors support millions of customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video. The role: Head of Data Science, Google Premium Services - Singapore gTech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities. Responsibilities: - Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information. - Lead complex projects and large-scale programs across many Google teams. - Manage challenges, concerns and/or opportunities from projects related to scope, ongoing maintenance, complexity and contacts. Challenge and improve internal processes and consult changes in external business partner or client processes. - Collaborate with clients to build an end-to-end Machine Learning framework. Engage various stakeholders, assess data readiness and scale a proof of concept to a larger solution. - Develop comprehensive understanding of Google data structures, Google Marketing Solutions, and metrics, advocating for product changes where needed.","Minimum qualifications: - Master's degree in Statistics, Computer Science, Engineering, or Mathematics, or equivalent practical experience. - Experience in quantitative analytics with a focus on marketing analytics, statistical modeling, Machine Learning, digital attribution, forecasting, optimization and/or predictive analytics. - Experience programming with Python and/or R. Preferred qualifications: - PhD in Statistics, Computer Science or Mathematics. - Experience with analytic software tools such as SQL, R, SAS, SPLUS and Eviews, with quantitative analytics experience. - Experience using and/or deploying digital analytics and measurement solutions, and experience in SQL and big data. - Client vertical experience, including: retail, financial services/retail banking, insurance, telecommunications, automotive and CPG. - Understanding of media (paid, owned and earned) as well as an understanding of the statistical algorithms typically used in Marketing Analytics. - Ability to navigate complex business organizations, manage multiple cross-functional stakeholders, and consult optimal solutions across all parties."
270,b5abca92461a7ab2ccb873c0f4bb7294,https://www.mycareersfuture.sg/job/data-scientist-global-premium-services-google-technical-services-professional-services-singapore-google-asia-pacific-b5abca92461a7ab2ccb873c0f4bb7294,"Data Scientist, Global Premium Services, Google Technical Services Professional Services - Singapore",Full Time,GOOGLE ASIA PACIFIC PTE. LTD.,"MARINA BAY FINANCIAL CENTRE, 8 MARINA BOULEVARD 018981",Executive,Information Technology,7500,15000,Monthly,31 Dec 2018,0,0,0,0,"Company overview: Google is not a conventional company, and we don’t intend to become one. True, we share attributes with the world’s most successful organizations – a focus on innovation and smart business practices comes to mind – but even as we continue to grow, we’re committed to retaining a small-company feel. At Google, we know that every employee has something important to say, and that every employee is integral to our success. We provide individually-tailored compensation packages that can be comprised of competitive salary, bonus, and equity components, along with the opportunity to earn further financial bonuses and rewards. Googlers thrive in small, focused teams and high-energy environments, believe in the ability of technology to change the world, and are as passionate about their lives as they are about their work. For more information, visit www.google.com/careers. The area: gTech (general) Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of solution-oriented trusted advisors support millions of customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video. The role: Data Scientist, Global Premium Services, Google Technical Services Professional Services - Singapore Google Technical Services: Professional Services (gPS) is a team of solution-oriented trusted advisors supporting millions of users worldwide. Our consultative services take our deep technical and product expertise and combine it with our powerful understanding of our customer’s needs and goals to solve their biggest business challenges allowing them to grow and get the most out of Google solutions. Additional Role Description: As a Data Scientist you'll work closely with our clients and produce innovative and actionable quantitative models and analyses to address the challenges of marketing effectiveness, return on investment, and prediction. The Global Premium Services team is a solution-generating force that helps our Sales teams and advertisers. These solutions need to be scalable to support millions of customers worldwide. In addition to troubleshooting on the customer side, we work with Sales, Product and Engineering teams within Google to develop better tools and services to improve our products based on the evolving needs of our users. As a cross-functional and global team, it's our job to help keep the lights on and the ads relevant. Responsibilities: - Lead analytics aspects of client engagements in the area of marketing effectiveness and marketing portfolio management (with deep knowledge of modeling). - Effectively work with clients to align Google Analytics 360 suite attribution and analytic solutions with key organizational challenges and develop value-based roadmaps to solve client business challenges on a continuous and repeatable basis. - Collaborate with clients to build an end-to-end Machine Learning framework. Engage various stakeholders, assess data readiness. Be able to scale a proof of concept to a larger solution. - Work with client and internal teams to translate data and model results into tactical and strategic insights that are clear, complete, accurate, relevant, understandable and applicable to decision making and needs for varying client audiences. Co-present to and work with clients to integrate recommendations into business processes. - Collaborate with Product/Engineering teams to increase and optimize capabilities, employing methods which create opportunities for scale, proactively helping to drive innovation.","Minimum qualifications: - Master's degree in Statistics, Mathematics, Economics, Engineering or an Applied Science, or equivalent practical experience. - 5 years of quantitative analytics experience with a focus on marketing analytics, statistical modeling, Machine Learning, digital attribution, forecasting, optimization and/or predictive analytics. - Knowledge of media (e.g. paid, owned and earned). - Programming experience in Python and/or R. Preferred qualifications: - SQL and big data experience. - Experience in delivering bespoke analytics to stakeholders (e.g. problem scoping/definition, modeling, interpretation, presentation). - Experience in using and/or deploying digital analytics and measurement solutions. - Knowledge of statistical programming languages (R/Python/Tensorflow). - Ability to visualize models and results. Ability to debug and troubleshoot code and models."
271,5dabae394584ed881691c5d2fc0076a6,https://www.mycareersfuture.sg/job/software-developer-geospatial-technology-exploitation-government-technology-agency-5dabae394584ed881691c5d2fc0076a6,Software Developer - Geospatial Technology Exploitation (Contract),Full Time,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Middle Management,"Information Technology, Public / Civil Service",5000,7000,Monthly,21 Dec 2018,0,0,0,0,"The Government Technology Agency (GovTech) aims to transform the delivery of Government Digital Services through the development of Smart Nation infrastructure and applications. This is achieved by facilitating collaboration with citizens and businesses to co-develop technologies, thus placing them at the heart of our work. The Geospatial Specialist Office in GovTech is set up to encourage geospatial innovation and adoption across Whole-of-Government (WoG), so as to increase productivity and promote synergistic collaboration amongst agencies.   What to Expect:  Develop 3D data processing tools to address challenges in data loss  Look into 3D datasets such as CAD, BIM, IFC, etc Develop web and/or GIS applications for analyses, AR, VR, and visualization in 3D Explore and evaluate emerging technologies via pilot projects with agencies  How to Succeed:  Degree in Computer Science/ Information Technology/ Software Engineering or a related discipline  Strong background and keen interest in software development. Good attitude and willing to learn and pick up new skills as required. Between 3-5 years of relevant working experience.  In-depth hands-on experience and/ or knowledge on the following areas:  Application development using Python, C#, Java  Web application development using PHP, JavaScript, HTML5, jQuery  Exposure to machine learning algorithms (e.g. random forest, K-means clustering, etc)  Experience with GIS solutions and analysis   ",None
272,5705478a8cbee18ed06d0506ce4a376f,https://www.mycareersfuture.sg/job/data-science-training-development-manager-government-technology-agency-5705478a8cbee18ed06d0506ce4a376f,Data Science Training And Development Manager,Permanent,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Middle Management,"Information Technology, Public / Civil Service",5000,8000,Monthly,17 Dec 2018,0,0,0,1,"As a Data Science Training And Development Manager in GovTech Data Science & Artificial Intelligence Division, you will develop the competency framework, training roadmap, curate and develop courses that are suitable for various levels of analytics competencies from basic data literacy to expert data science practitioners across the Whole-of-government. You will collaborate with industry and academic partners to create a vibrant training ecosystem that public officers can tap on. You are a decisive and driven individual who takes a proactive approach to running programmes and managing projects to meet overall objectives and targets of the organisation. Success in the role will be demonstrated by your ability to effectively deal with dynamic situations while keeping to achieve impactful outcomes aligned to the overall strategy of levelling up Data Science capabilities across the Whole-Of-Government, such as the push to train 20,000 public officers in data analytics and data science. What To Expect:  Develop and maintain a comprehensive competency framework for Data Science and AI referencing frameworks used in the industry but tailored for the government sector Develop and maintain a training roadmap built on top of the competency framework that is contextualised for public officers (e.g. what are the analytics skill sets given a particular job role, and therefore what are appropriate courses to help officers attain these skill sets) Improve and evolve the training roadmap based on understanding the skills demand within government, through interaction with government agencies, projects and feedback from the community of data science enthusiasts and practitioners Develop training courses, which support both the data literacy and applied proficiency skills from basic to expert level in the areas of AI, Machine Learning and Data Science, independently or in partnership with industry and academic partners Coordinate the delivery of training courses for partner agencies, and where required, to also personally deliver some of the training Track and analyse the post-training feedback from internal training and external partners’ training for management reporting and improvements Manage all aspects of the assigned projects independently, including but not limited to programme execution, budgeting  How To Succeed:  Degree or Diploma in Computer Science, Information Technology or equivalent, with experience in AI / Data Science / Machine Learning Minimum 3 years of relevant experience in Data Science & AI practitioner work and training/lecturing in relevant subjects Demonstrate some experience in developing training curriculum and/or delivering a course Confident in training delivery and able to explain technical AI / Data Science / Machine Learning knowledge to a layman audience. Prior experience in engaging public officers and government agencies on projects and collaborations is not a requirement, but will be an added advantage Excellent English language skills both oral and written Comfortable working independently with minimum supervision ",None
273,ed592471e3bf926a6bcee241bc6dfe58,https://www.mycareersfuture.sg/job/devops-engineer-data-science-artificial-intelligence-government-technology-agency-ed592471e3bf926a6bcee241bc6dfe58,"DevOps Engineer, Data Science and Artificial Intelligence",Permanent,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Middle Management,"Information Technology, Public / Civil Service",5000,8000,,17 Dec 2018,0,0,0,1,"The Government Technology Agency (GovTech) aims to transform the delivery of Government digital services by taking an ""outside-in"" view, putting citizens and businesses at the heart of everything we do. We also develop the Smart Nation infrastructure and applications, and facilitate collaboration with citizens and businesses to co-develop technologies. Join us as we support Singapore’s vision of building a Smart Nation - a nation of possibilities empowered through info-communications technology and related engineering. Who we are: GovTech's Data Science and Artificial Intelligence team uses technology and data to help deliver high-quality digital services to citizens and businesses in Singapore. We build software for government agencies to better understand and use their data to improve operations and decision making. What the role is: You will work on both small and large scale projects, building and maintaining the infrastructure behind them. We are fully aligned with the Government’s cloud-first policy and you will bring capability to help us realise this. The role includes:  Managing the development, deployment, orchestration and maintenance of data pipelines for our Data Science products Providing DevOps architecture implementation and operational support Architecture and planning for cloud deployments (Private and Public cloud) Developing and managing processes, automation, best practices, documentation Development and operation of continuous integration and deployment pipelines.   What it is like working here: We build products that serve a variety of agency users, who use them to solve highly meaningful problems pertinent to our society, from transportation, to education, to healthcare. You are expected to have ownership over the problems that you solve. This means having ideas on how things should be done and taking responsibility for seeing them through. Building something that you believe in is the best way to build something good. As we often deal with big data and computing requirements, you are also able to take a long-term strategic view of the platforms you work on, and help provide this perspective to the team. To do so, you will:  Effectively prioritise and execute tasks in a high-pressure environment  Develop and maintain internal engineering productivity tools and environments Perform independent research into product and environment issues as required  Monitoring automation to effectively detect/predict/prevent issues in the environment and code base Future-proofing the technical environments and ensuring extreme high levels of automation, availability, scalability and resilience Hands-on coding and mentoring, working in highly collaborative teams and building quality environments Have knowledge in and/or continuously learn lots of different open source technologies and configurations  What we are looking for: The customers for our products are normally agency users, which means that breadth of knowledge in government IT infrastructure and experience in government networks will help. Since our direction is cloud-first, you will likely have some experience in patch/update scheduling, and knowledge of security incident response procedures. A disciplined approach and strong problem-solving instincts are fundamental to succeed. Your aptitude for completing the tasks and attitude to continuous learning are more valued than any formal certification. To succeed you will need to possess some of the following:  Excellent problem solving and methodical troubleshooting skills Strong knowledge and experience in DevOps automation, containerisation and orchestration using tools eg. Ansible, Airflow, Docker, Kubernetes, Terraform, Artifactory/Nexus Sonatype Cloud computing deployment and management experience in AWS, GCP Strong scripting skills e.g. Python, Bash, JavaScript, Scala, Rust, Go Strong understanding of Apache Spark/Flink, Hadoop, distributed file systems and resource scaling/scheduling, streaming message queues (RabbitMQ, Kafka) Strong understanding of virtualization and networking concepts Experience with patch maintenance, regression testing and security incident response Experience with interactive workloads, machine learning toolkits and how they integrate with cloud computing e.g. Databricks, KX Experience with highly scalable distributed systems Experience with on-premise deployments, government application and networking infrastructure/routing Breadth of knowledge - OS, networking, distributed computing, cloud computing ",None
274,fced681062c441afdc1573bc33017e36,https://www.mycareersfuture.sg/job/devops-engineer-government-digital-services-government-technology-agency-fced681062c441afdc1573bc33017e36,"DevOps Engineer, Government Digital Services",Full Time,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Middle Management,"Information Technology, Public / Civil Service",5000,9000,,07 Dec 2018,0,0,0,0,"The Government Digital Services (GDS) Team aims to spearhead the digital transformation of government. We are a team in GovTech that aims to design and develop software applications that help government agencies better serve the needs of Singaporeans. We adopt an Agile development approach and work towards adopting tech best practices and cutting edge tools.  If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated peers, we welcome you to join GDS. These are newly created positions with many opportunities for groundbreaking contributions.  What to Expect:   Manage the development of the internal engineering productivity tools and environments.  Providing DevOps architecture implementation and operational support  Architecture and planning for cloud deployments (Private and Public cloud);  Be an innovative and hands-on DevOps engineer capable of looking at both the technology and strategy around the platform.  Future-proofing the technical environments and ensuring extreme high levels of automation, availability, scalability and resilience.  Manage the development of the internal engineering productivity tools and environments. Manage processes, automation, best practices, documentation.  Development and operation of continuous integration and deployment pipelines.  Monitoring automation to effectively detect/predict/prevent issues in the environment and code base.  Ability to conduct research into software issues and products as required  Working with the latest tools and techniques  Hands-on coding and mentoring, usually in a pair programming environment  Working in highly collaborative teams and building quality environments.  Ability to effectively prioritize and execute tasks in a high-pressure, fast paced, global environment  Knowledge in lots of different open source technologies and configurations.   How to Succeed:   Degree or Diploma in Computer Science/Engineering, Information Technology, Communications or other related disciplines. Excellent problem solving skills Strong knowledge and experience in Devops automation, containerisation and orchestration using tools  Strong scripting skills e.g. Python, Bash, JavaScript, Ruby Cloud computing deployment and management experience - AWS, Azure Strong understanding and practice Agile/Lean projects SCRUM, KANBAN etc.  Strong understanding of virtualization and networking   Preferred:   Experience with highly scalable distributed systems  Machine Learning technologies and environments  Breadth of knowledge - OS, networking, distributed computing, cloud computing ",None
275,1df7611ebde1f5f81b64bacd098a79b0,https://www.mycareersfuture.sg/job/senior-manager-assistant-director-business-development-industry-engagement-health-promotion-board-1df7611ebde1f5f81b64bacd098a79b0,"Senior Manager  /  Assistant Director, Business Development & Industry Engagement",Full Time,Health Promotion Board,3 SECOND HOSPITAL AVENUE 168937,Executive,"Marketing / Public Relations , Public / Civil Service",,,,11 Oct 2018,0,0,0,0,"The National Healthy Population Division drives the design and implementation of the National Healthy Population project. This is an endorsed Smart Nation initiative (first in a citizen-fronting deployable application space) and will involve the creation of a nation-wide platform to collect, through smart devices such as wearables, real-time and personalized biometric and wellness data.  Such data, matched to clinical records, can create personalized applications, delivered through smart devices, that will help nudge our citizens to healthier behaviours; predict or even pre-empt medical situations like stroke, falls and heart attacks; and improve chronic disease management and coordination of care across health, social and consumer entities. The platform is an open public-private one with government playing the role of a neutral and trusted data-broker to multi-lateralise data-sharing for health innovation and service delivery.
 
This project has the ambition to create a step-improvement in health promotion and chronic disease management, pioneering capabilities with tech giants to front global-first co-innovation. It will also allow for the real time tracking of the Singapore population's health behaviours, and potentially give Government a much more accurate read of how the population responds to policy changes and allow for personalised services delivered at national scale.  By providing a research platform for new medical interventions, it has the potential to accelerate the adoption of a whole range of clinical interventions.  The project will involve a range private sector players coming in to use Singapore as a test bed to trial new products and services in precision health and medicine.  Key technologies that are likely to be trialled in this project are health related wearable and sensor technology, big data analytics, machine learning, behavioural science, genomics and precision medicine.
 
 
Job Responsibilities
The ideal candidate is a highly motivated marketing specialist who will be tasked to promote NHP’s strategic narratives, health messages and priority programmes to the public through effective, engaging, compelling communications and content strategy.  This position reports to the Deputy Director, National Healthy Population.  
 
This role is to:

Set the overall branding and marketing strategy for the Smart Nation Strategic National Project on digital population health;
Lead and coordinate the implementation of said strategy (covering both digital and non-digital channels) across Whole of Government and multiple agencies and private sector partners;
Drive insights-based marketing strategy, planning, coordination and execution of NHP’s key projects; 

*Considering the innovation and agile nature of the project scope, this list of roles and responsibilities is not exhaustive and subject to change based on project and team needs.
 
Job Requirements 

A relevant qualification in Marketing, Business, or Communications. 
Proven track record to drive data-driven decisions with solid working knowledge of user design thinking, analytics and content management technologies, designs, architectures and principles.
Min of 6 years of relevant experience - managing and executing integrated communications & campaigns, with experience in ATL, BTL, offline and digital marketing with creative brief writing & agency management skills, usability design especially for digital products.
Collaborative attitude with strong inter-personal skills necessary to present and interact confidently across the organization, and with external stakeholders and partners.
Results oriented, KPl-driven with an aesthetic eye and attention to detail.  Exceptional organizational and executional skills are necessary to manage multiple high-profile projects concurrently are highly desirable.
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276,9e6bb89686d7ae65bd6554890fd0ea0d,https://www.mycareersfuture.sg/job/business-analyst-government-technology-agency-9e6bb89686d7ae65bd6554890fd0ea0d,Business Analyst (Data Analytics),Full Time,GOVERNMENT TECHNOLOGY AGENCY,"MAPLETREE BUSINESS CITY, 10 PASIR PANJANG ROAD 117438",Professional,"Information Technology, Public / Civil Service",,,,09 Jul 2018,0,0,0,0,"BAF (Data Analytics) We are looking for Business Analysts (Data Analytics) who's interested in using data to help the government design solutions that address its policy and business problems, and stay close to the needs of the general public.  The applicant will be responsible for demonstrating how better use of data can help recommend new policies, streamline operations or bring more customised solutions for citizens. He/she should have some training and working experiences on data analytics, and should be comfortable with hands-on data manipulation, data modelling and data visualisation.   What to Expect:  Provide data analytics consulting services to the government agencies, including data analytics planning and strategy – perform data analytics visioning and road-mapping, business case development, implementation planning, organisational planning, budget and risk management planning Work closely with stakeholders to understand their needs/pain points, scope the problem and develop business case on how to turn data into critical information and knowledge that can be used for policy making, streamlining operations or developing solutions for citizens.   Advise stakeholders on the key ICT trends and best practices in data analytics, assess applicability for adoption and recommend solution that best fits stakeholders’ needs Perform data cleaning, pre-processing and feature engineering that facilitate meaningful analysis Work closely with data scientists to mine insights from structured and unstructured data and to resolve complex statistical modelling problems to answer pertinent business questions.  Design dashboards and interactive visualization as tools for data exploration as well as for storytelling.  Present analytics insights to business users and stakeholders Work with stakeholders to ensure smooth deployment and adoption of new solution  How to Succeed:  Degree/Master in any discipline; Diploma graduates with relevant experience will also be considered. Minimum 3 years of relevant working experience Ability to take a broad, strategic perspective as well as drill deep to understand business needs and challenges Understand key concepts, techniques and considerations in Machine learning and Data analytics Training and relevant experience in one or more of the following areas:   Statistical modelling tools such as: R, Python, RapidMiner, Knime, SAS, Matlab or SPSS Data manipulation using scripting languages like Python or using ETL tools Visual analytics technologies like Tableau, Qlikview or D3.js End-to-end analytics architecture, preferably with some working knowledge of big data stack   Excellent communication skills, both oral and written, with ability to pitch ideas and influence stakeholders Strong analytical, conceptualisation and problem solving skills Team player with strong organization and people handling skills Passion for the use of analytics and data to improve public service ",None