Hybrid Data Science Lead – AI

Posted last week

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About the role

  • Work with large-scale multilingual corpora, including text, audio, and image modalities
  • Build high-quality datasets for both continual pretraining, post-training (SFT, RLHF, DPO), and benchmark evaluation
  • Contribute to the training and scaling of multilingual LLMs – from continual pretraining to supervised fine-tuning and alignment.
  • Implement state-of-the-art methods and research for efficient and scalable operations.
  • Implement and improve safety alignment and guardrail systems to ensure responsible and culturally appropriate model behaviour.
  • Collaborate closely with business/product engineers to deploy production-grade LLM-powered solutions.
  • Stay current with advancements in AI technologies. Frontier models, training methodologies, etc

Requirements

  • 7+ years of experience in deep learning, NLP, and LLM
  • Understanding in computer vision and voice will be a plus point
  • Proficient in data preprocessing, model training, evaluation, and optimisation.
  • Practical experience in applying deep learning to solve real business problems, with models successfully deployed and used in production environments.
  • Proficient with Python and deep learning frameworks such as PyTorch or Tensorflow.
  • Experience with cloud platforms like Alibaba Cloud, GCP or AWS.
  • Strong communication skills to understand business needs and effectively convey analytical solutions.
  • Ability to write clear and concise technical documentation.
  • A Master’s or PhD in Computer Science, Data Science, AI, or a related field.

Benefits

  • Health insurance
  • Flexible work arrangements

Job title

Data Science Lead – AI

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

HybridSingapore

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