Research Associate, Business Analytics Centre - Toa Payoh

apartmentNational University of Singapore placeToa Payoh scheduleFull-time calendar_month 

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Overview

We are looking for a talented and experienced Researcher in Machine Learning to join our dynamic team and help us develop cutting-edge technologies in Large Language Model (LLM), data privacy protection, and AI governance area.

Job Responsibilities
  • Research on AI governance framework for LLM, including privacy protection, AI ethic, etc.
  • Develop industry specific LLM solution through fine tuning LLM parameters using industry private data.
  • Publish high-quality papers and patents.
  • Collaborate with team members in Singapore, China and US.
  • Provide technical support to clients and stakeholders as needed.
Job Requirements
  • Master's degree in Business Analytics, Computer Science, Engineering, or a related field.
  • Good knowledge of AI technology, especially LLM
  • Familiarity with NLP libraries such as NLTK, spaCy, or Gensim
  • Experience with text classification, sentiment analysis, and entity recognition
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Strong understanding of machine learning algorithms and statistics
  • Strong proficiency in Python, Java, or another programming language relevant to the role.
  • In-depth knowledge of machine learning algorithms, libraries, and tools (such as TensorFlow, Keras, or PyTorch).
  • Knowledge in OR (Operations Research) is a plus
  • Experience with cloud computing platforms and services, particularly AWS (EC2, S3, Lambda)
  • Solid understanding of software development methodologies, including Agile and Scrum.

More Information

Location: Kent Ridge Campus
Organization: School of Business
Department : Analytics And Operations
Employee Referral Eligible: No

Job requisition ID : 29951

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