AI Engineer

AI Singapore (AISG) is a national initiative driven by the Ministry of Digital Development and Information (MDDI), the Infocomm Media Development Authority (IMDA), and the National Research Foundation, Singapore (NRF).

AISG brings together Singapore-based research institutions and the broader ecosystem of AI start-ups and companies to support impactful research, develop talent and power Singapore's AI efforts.

For more information on AI Singapore, please visit .

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.

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: NTU