AI Engineer (AIEH)
At a glance
Mid-level AI Engineering role at Ntu. NTU Main Campus · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Carry industry AI work from defining the need to launching and maintaining the finished solution
- Set project scope and expected outputs with partners, then test the technical feasibility of proposed work
- Guide apprentices through their training and project phases with technical coaching and delivery support
- Help conduct AIAP hiring stages and contribute to talks, workshops, journals and other outreach
What you bring
- A degree and at least four years of professional experience
- A portfolio of AI or machine-learning work covering problem scoping, data analysis, deployment and documentation
- Practical machine-learning expertise, including work with NLP, computer vision or tabular data, and hands-on LLM application development
- Expert Python ability, sound software engineering habits, Git, Docker, CI/CD, and data and model pipelines on AWS, Azure or GCP
Who this fits
This role suits an AI engineer who can deliver applied projects while coaching apprentices and working with industry partners. The position is based at NTU Main Campus in Singapore.
From the employer
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 Engineering Hub (AIEH) aims to promote AI usage in the industry by developing AI solutions for companies. These industry engagements also serve as real-world projects for the AI Apprenticeship Programme (AIAP), which is dedicated to groom local AI talent and enhance their career with AI-related skills.
We are seeking an AI Engineer to join the AIEH team. In this role, you will mentor AIAP apprentices by guiding project delivery, defining industry-relevant use cases, and providing technical coaching on cutting-edge AI technologies. You will also contribute to the development of innovative AI solutions and internal technology initiatives. The incumbent will collaborate with external partners to identify meaningful project opportunities while balancing development work with talent nurturing responsibilities, playing a key role in strengthening Singapore's AI ecosystem.
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