Asks for

The ad says“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).”
The ad says“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).”
The ad says“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).”
The ad says“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.”
The ad says“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).”
The ad says“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.”
The ad says“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).”
The ad says“Generative AI & LLMs: Hands-on experience developing LLM-powered applications, including Prompt Engineering, Retrieval-Augmented Generation (RAG), and fine-tuning using modern frameworks.”
The ad says“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).”
The ad says“Generative AI & LLMs: Hands-on experience developing LLM-powered applications, including Prompt Engineering, Retrieval-Augmented Generation (RAG), and fine-tuning using modern frameworks.”
The ad says“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.”
The ad says“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).”
The ad says“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.”
The ad says“Generative AI & LLMs: Hands-on experience developing LLM-powered applications, including Prompt Engineering, Retrieval-Augmented Generation (RAG), and fine-tuning using modern frameworks.”
The ad says“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.”
The ad says“Generative AI & LLMs: Hands-on experience developing LLM-powered applications, including Prompt Engineering, Retrieval-Augmented Generation (RAG), and fine-tuning using modern frameworks.”

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