AI Engineer (AIEH)

This AI Engineer role at AI Singapore, hosted by NTU, involves mentoring AI apprentices on industry projects and developing AI solutions. Key responsibilities include end-to-end project delivery from scoping to deployment, technical coaching on AI technologies like Generative AI and LLMs, and collaborating with industry partners. Applicants need at least 4 years of work experience, demonstrated end-to-end project delivery, applied machine learning skills, generative AI/LLM experience, strong Python and software engineering abilities, and MLOps/cloud proficiency.

• 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.

• We regret that only shortlisted candidates will be notified.
• 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 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.
• 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).