WHAT YOU WILL NEED

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• 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.

ABOUT THE ROLE:

We are building Sahabat-AI, 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

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• 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