AI Engineers (T-Up Program)

Nanyang Technological University Singapore

Singapore

On-site

SGD 70,000 - 100,000

Full time

14 days+

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Job summary

Nanyang Technological University Singapore seeks an AI Engineer to drive solutions in artificial intelligence and mentor apprentices. The ideal candidate will have a strong portfolio showcasing end-to-end AI project delivery, proficient in machine learning fundamentals, and expertise in developing LLM applications. The role offers opportunities to lead development projects and engage in community-building activities, contributing to Singapore's AI ecosystem.

Qualifications

  • Strong portfolio of AI/ML projects demonstrating end-to-end delivery.
  • Deep knowledge of machine learning fundamentals with real-world applications.
  • Experience in developing applications using LLM, including prompt engineering.

Responsibilities

  • Drive AIAP and related project tasks.
  • Train and mentor AI apprentices during various phases.
  • Lead solution development for AI projects.

Skills

End-to-End Project Delivery
Applied Machine Learning
Generative AI & LLMs
Software Engineering Excellence
MLOps & Cloud Proficiency
Excellent Communicator

Tools

Python
Git
Docker
AWS
Azure
GCP

Job description

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 Technology for Enterprise Capability Upgrading (T-UP) Scheme seeks to strengthen the artificial intelligence (AI) capability of local companies through the secondment of AI Engineers from AI Singapore (AISG).

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
  • 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: NTU

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