Data Engineer / Analyst (AI & ML)

About the role

We are looking for a technically strong and analytically driven Data Engineer / Analyst to design, build, and maintain end-to-end data and AI/ML solutions. You will work across the full data lifecycle - from developing ETL pipelines and managing cloud platforms to deploying machine learning models and collaborating with stakeholders to drive meaningful outcomes.

Responsibilities

• Data Engineering & AI/ML Development
• Design, build, deploy, and maintain end-to-end data and AI/ML projects across big data and cloud platforms
• Develop scalable and reliable ETL processes for ingesting and integrating large volumes of structured and unstructured data from on-premise and cloud sources
• Build and manage enterprise data systems including data lakes, analytics platforms, and AI platforms
• Project & Product Management
• Perform project management and product owner activities for the development, testing, and maintenance of enterprise data systems
• Apply Agile methodology across the full development lifecycle - from requirements gathering and sprint planning through to testing and deployment
• Manage timelines, deliverables, and stakeholder expectations across concurrent workstreams
• Stakeholder Collaboration & Innovation
• Collaborate with business users, project teams, government agencies, and industry partners to explore and evaluate new AI/ML and data technologies
• Identify and develop deployable solutions that address operational needs and advance strategic goals
• Stay current with emerging data, AI, and cloud technologies - particularly Generative AI and LLM applications

Requirements

• Degree in Computer Science, Data Science, Statistics, Economics, or a related discipline with strong quantitative content
• Hands-on experience in data analytics, data engineering, or AI/ML project development
• Proficiency in programming languages such as Python, R, Java, Scala, or SAS for data science and data processing applications
• Strong knowledge of cloud platforms (e.g. AWS, Azure, GCP) and big data technologies
• Demonstrable experience with data/ML techniques - data mining, data engineering, machine learning, natural language processing, or similar
• Experience with Generative AI technologies and LLM models is a strong advantage
• Singaporeans Only
• By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec's Privacy Policy (scientecconsulting.com/privacy-policy).
• This authorizes us to:
• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.
• All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
• Ho Kah Yeow | R1879233
• ScienTec Consulting Pte Ltd |11C5781

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