Lead Data Scientist for Sahabat-AI, developing multilingual LLM tailored for Indonesia. Collaborate on AI innovation and deployment at GoTo Group in Singapore.
Responsibilities
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.
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