AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI. AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.
This position will be hosted at the Nanyang Technological University (NTU) under VP (Artificial Intelligence & Digital Economy)’s office and we welcome you to join our community.
The AI Apprenticeship Programme (AIAP) is a flagship initiative aimed at grooming local AI talent. We are looking for a driven AI Engineer to execute our programmes, lead AI-based projects, and spearhead the development of cutting-edge AI technologies.
Key Responsibilities:
Drive tasks stemming from AIAP, AIAP (Industry), LADP, and AIIP.
Train and mentor AI apprentices during the Deep-skilling and Project phases.
Lead solution development for internal and external AI projects, performing research and maintaining AIAP technologies.
Plan and execute AIAP recruitment stages and update the AIAP syllabus.
Support industry and community-building activities through talks, workshops, and seminars.
Requirements:
We welcome applicants from all disciplines and qualifications — including NITEC, Diploma, and Degree holders — who can demonstrate the following skills:
End-to-End Project Delivery: Have a strong portfolio of AI/ML project(s) that showcases ability to deliver solutions from scoping and data analysis through to deployment and documentation.
Applied Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying algorithms to solve problems in areas like NLP, Computer Vision, or on tabular data.
Generative AI & LLMs: Hands-on experience developing LLM-powered applications, including Prompt Engineering, Retrieval-Augmented Generation (RAG), and fine-tuning using modern frameworks.
Software Engineering Excellence: Demonstrates expert-level Python skills and a strong commitment to Software Engineering best practices, writing code that is clean, modular, and maintainable.
MLOps & Cloud Proficiency: Fluent in the essential MLOps toolkit, including Git, Docker, and CI/CD principles. Have experience building data and model pipelines on at least one major cloud platform (AWS, Azure, or GCP).
Passionate Mentor: Eager to guide and develop the next generation of AI talent, contributing to AISG Innovation’s collaborative and supportive team culture.
Excellent Communicator: Can articulate complex technical ideas to both technical and non-technical audiences with clarity and confidence.
Lifelong Learner: Possess a strong sense of curiosity and are driven to stay current in the fast-evolving world of artificial intelligence.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTUSkills Required
- End-to-end AI/ML project delivery from scoping and data analysis to deployment and documentation
- Applied machine learning experience (NLP, Computer Vision, or tabular data)
- Experience building LLM-powered applications, including Prompt Engineering, RAG, and fine-tuning
- Expert-level Python programming and software engineering best practices
- MLOps toolkit experience (Git, Docker, CI/CD)
- Experience building data and model pipelines on at least one major cloud platform (AWS, Azure, or GCP)
- Ability and willingness to mentor and train apprentices during deep-skilling and project phases
- Strong verbal and written communication to convey technical ideas to technical and non-technical audiences
- Demonstrated curiosity and commitment to continuous learning in AI
What We Do
The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors with a focus on patient-centered care, integrating precision medicine, Artificial Intelligence (AI) in healthcare, and medical humanities into its undergraduate medical degree program.
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