AI Engineer (AIEH)

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.

Duties & Responsibilities:

• Drive and work on tasks stemming from AIEH industry partnership projects and other AIAP-related programmes.
• Lead end-to-end solution development for industry AI projects, from scoping to deployment and maintenance.
• Train and mentor AI apprentices during the Deep-skilling and Project phase, and other umbrella programmes.
• Collaborate with industry partners to identify, scope, and define project requirements and deliverables.
• Conduct technical assessments and feasibility studies for potential industry collaborations.
• Participate, prepare and execute the AIAP recruitment stages.
• Support AI Singapore’s industry and community-building activities by contributing to talks, seminars, workshops, journals and other outreach programmes.

Requirements:

• Degree with at least 4 years of work experience.
• We welcome applicants from all disciplines 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 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.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU