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Nanyang Technological University

AI Engineer - Aiap

Applied Machine LearningUpdated on Nov 14
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • Applicants from all disciplines and qualifications, including NITEC, Diploma, and Degree holders, must demonstrate the following skills.
  • Have a strong portfolio of artificial intelligence and machine learning projects demonstrating end-to-end solution delivery from scoping and data analysis through deployment and documentation.
  • Possess deep practical knowledge of machine learning fundamentals and proven experience applying algorithms to natural language processing, computer vision, or tabular data.
  • Have hands-on experience building production large language model applications and designing agentic systems, including prompt and context engineering, retrieval-augmented generation (including graph-based retrieval), tool use, state and control flow design, orchestration frameworks, tracing, guardrails, and evaluations. Have basic knowledge of fine-tuning, parameter-efficient adaptation, dataset construction, and evaluation.
  • Be able to qualify use cases before development by assessing business need, data approval, representativeness and currency, and whether generative artificial intelligence is appropriate. Be able to reduce business briefs to useful, deliverable technical scopes within fixed timelines and raise the case for changing direction early.
  • Demonstrate expert-level Python skills and commitment to software engineering best practices, writing clean, modular, and maintainable code.
  • Be highly fluent with agentic coding tools and use them to deliver quickly across unfamiliar codebases, while reviewing, rejecting, and rewriting generated code as appropriate.
  • Be fluent in essential MLOps tools and practices, including Git, Docker, and continuous integration and continuous delivery principles. Have experience building data and model pipelines on at least one major cloud platform: AWS, Azure, or GCP.
  • Be eager to develop AI talent, from apprentices to industry professionals learning to build for the first time, and contribute to a collaborative and supportive team culture.
  • Be able to explain complex technical ideas clearly and confidently to technical and non-technical audiences, and guide learners to build solutions themselves.
  • Possess curiosity and motivation to stay current in the fast-evolving field of artificial intelligence.

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, perform research, and maintain AIAP technologies.
  • Plan and execute LADP intakes and update the LADP syllabus.
  • Oversee and contribute to LADP Enterprise, Essentials, and the wider portfolio of LADP programmes.
  • Support industry and community-building activities through talks, workshops, and seminars.

About the Company

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