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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).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

We are looking for an AI Engineer to join AI Singapore to assist in the evaluation efforts in the Applied Research for Foundation Models team in AI Products.

Duties And Responsibilities

• Support the development of NLP/LLM products for Southeast Asian languages, with a focus on foundation models and linguistically-motivated approaches.
• Aid efforts on the evaluation of large language models, including research, experimentation, implementation and data creation where applicable.
• Develop visualization methods to facilitate the analysis and interpretation of evaluation results by the team and other stakeholders.
• Keep abreast of latest developments in NLP/LLMs for low-resource languages, evaluation approaches etc.
• Collaborate with various parties both within and outside of Singapore on research and software development.
  
  

Qualifications

• Bachelors or Masters in Computer Science, Machine Learning, AI, Statistics, Mathematics, Engineering or Computational Linguistics.
• Background in Linguistics is highly preferred.
• Competency in a Southeast Asian language, or knowledge of multiple languages is strongly preferred.
• Familiar with modern LLM models, including transformer architectures and large language models.
• Familiar with LLM evaluation methods and metrics.
• Familiar with inference methods and model serving using packages such as vLLM and SGLang.
• experienced in LLM implementations based on PyTorch or Tensorflow/Keras, with some exposure to the setting up of end-to-end pipelines from data preparation to deployment.
• Fluent in Python, but other languages such as Java, C++ or Javascript will be a bonus.
• Have a good grasp of the fundamentals of Machine Learning.
• Knowledge and experience in Software Engineering will be beneficial (e.g. Agile framework, Frontend/Backend development, Git)
• Some knowledge of DevOps (Docker, Kubernetes, CI/CD) will be a plus.
• Team player with good communication skills and passion for technology.
  
  

More Information

Location: Kent Ridge Campus

Organization: Office of the Deputy President(Res&Tech)

Department : AI Singapore

Employee Referral Eligible: No

Job requisition ID : 29702