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AI Engineer (Evaluation)

ntu · NTU Main Campus

New
🇬🇧 English
Python Git vLLM PyTorch

Job description

About the role

This position is an AI Engineer (Evaluation) vacancy hosted at Nanyang Technological University (NTU) under the office of the Vice President (Artificial Intelligence & Digital Economy). It sits within the AI Singapore initiative, which brings together research institutions, AI start-ups and companies to support impactful research, develop talent and advance Singapore's AI efforts. The role focuses on evaluating Large Language Models (LLMs).

Key responsibilities

  • Develop and maintain evaluation frameworks and pipelines to measure the capabilities of Large Language Models (LLMs)
  • Stay up to date with and experiment with the latest research in multilingual, multicultural and multimodal LLM evaluation, including the LLM-as-a-Judge paradigm
  • Work with partners to collect, translate and verify evaluation datasets
  • Perform data preparation and analysis, AI modelling, coding, testing, validation and deployment to deliver reliable and scalable AI solutions
  • Collaborate with cross-functional teams within AI Products to design and resolve issues
  • Maintain code repository and documentation standards
  • Contribute to community engagement such as technical session meet-ups, article write-ups and discussion forums

Required profile

  • Degree in computer science, AI, data science or a related field (or equivalent practical experience)
  • Strong understanding of LLM evaluation experimental design and the advantages and limitations of different evaluation methods
  • Experience with LLM inference frameworks such as vLLM and AI/deep learning frameworks such as PyTorch
  • Ability to read and understand research papers
  • Fluent in English and one other Southeast Asian language, to build quality evaluations from a multilingual and multicultural perspective

Required skills

  • Production-level Python coding
  • Version control with Git
  • LLM inference frameworks (e.g. vLLM) and deep learning frameworks (e.g. PyTorch)

Only shortlisted candidates will be notified.

Questions fréquentes

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Source : ats:workday

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Published 3 hours ago

Expires 1 month from now

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ntu

NTU Main Campus