Machine Learning Engineer l 6-month contract

Job Description: As the Senior Data Science Engineer in our Data Science & Engineering team, you will lead the development of data products and solutions leveraging vast datasets from various consumer-focused companies. Your role is pivotal in creating high-performance algorithms, utilizing cutting-edge machine learning techniques (including deep learning), and designing intuitive workflows that empower our users to extract valuable insights from big data while maintaining a focus on data privacy. Key Responsibilities:Drive the evolution of Data & Services products/platforms with an impact focused on data science and engineering.Design machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.Participate in identification and evaluation of data elements to deliver analytics for product development.Solve complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.Continuously innovate and determine new approaches & technologies to solve business. problems and generate business insights & recommendations.Participate in the development of data and analytic infrastructure for product development.Partner with roles across the organization including consultants, engineering, and sales to determine the highest priority problems to solve.Evaluate trade-offs between many possible analytics solutions to a problem, taking into account usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision.Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients, and other stakeholders.Evangelize releases to users, incorporating feedback, and tracking usage to inform future development.Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.Qualifications:Bachelor's degree in Computer Science, Data Science, or any related disciplineMinimum 4 years of experience in building and deploying production-level data-driven applications and data processing workflows/pipelines.Excellent proficiency in Python, Spark, SQL.Hands-on experience with Hadoop big data tools (Hive, Impala, Spark).Motivated, flexible, self-directed, and capable of leading small project teams.Quantitative and problem-solving skills.Excellent project management abilities.Quick learner with the ability to implement new technologies.Desired Skills (Good to have):Experience in performance tuning of databases, SQL, ETL jobs, and related scripts.Familiarity with batch processing and workflow tools such as NiFi.Experience working in Agile teams.Interested Applicants, please email your resume to rupa.kankariya@manpower.com.sg (R1441955), stating the position as the subject title in the email. All Applications will be handled with strict confidentiality.Rupa Kankariya EA License No. 02C3423 Personnel Registration No. R1441955Please 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 ManpowerGroup Singapore for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012. To learn more about ManpowerGroup's Global Privacy Policy, please visit https://www.manpower.com.sg/privacy-policy