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Data Science Lead AI

GoTo · Singapore · Not Specified

7+ years Posted 5 days ago
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Quick Summary

  • Work with large-scale multilingual corpora including text, audio, and image modalities
  • Build high-quality datasets for pretraining, post-training, and benchmark evaluation
  • Collaborate with product and engineering teams to deploy production-grade LLM-powered solutions

Full Description

About the Role

We are building a multilingual Large Language Model tailored for Bahasa Indonesia and regional languages. We are looking for a passionate Lead Data Scientist to help shape the future of open and inclusive AI for Indonesia, as well as playing a pivotal role in identifying impactful AI use cases. As a Lead Data Scientist working on LLMs, you will design and build high-quality datasets, advanced model pre-training, fine tuning and and alignment techniques, and collaborate closely with product and engineering teams to ship safe, reliable LLM-powered features to millions of users. This role offers the opportunity to drive innovation, solve critical business challenges, and shape the future of AI-driven solutions at GoTo Group.
What You Will Do:
  • 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 behavior.
  • Collaborate closely with business/product, engineers to deploy production-gradeLLM-powered solutions.
  • Stay current with advancements in AI technologies. Frontier models, training methodologies etc
    • What You Will Need:
  • 7+ years of experience in deep learning, nlp, computer vision, voice.
  • 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 Alicloud, 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.

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