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Nanyang Technological Universityvia Indeed
Senior Assistant Manager / Assistant Manager, AI Engineer
SGPosted 3mo ago
ML EngineerLeadFull-time#python#llm#computer-vision#nlp#docker#aws#gcp#azure
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About the Role
AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI). Hosted at the Nanyang Technological University (NTU), VP (Artificial Intelligence & Digital Economy)’s office, we bring together research institutions and the vibrant ecosystem of AI start-ups and companies to develop talent and power Singapore's AI efforts.
The AI Apprenticeship Programme (AIAP) is a flagship initiative aimed at grooming local AI talent. We are looking for a driven Senior Assistant Manager / Assistant Manager, 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: NTUReady to apply?
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