Lead Data Scientist - LLM Platform (Artificial Intelligence/AI)
Hybrid (Singapore)PermanentPosted 5mo ago
About the role
Lead Data Scientist role focused on building multilingual LLMs tailored for Bahasa Indonesia and regional languages. Driving dataset creation, pretraining, fine-tuning, alignment, and deployment of safe, production-grade LLM-powered features at GoTo Group.
Responsibilities
- Work with large-scale multilingual corpora, including text, audio, and image modalities
- Build high-quality datasets for continual pretraining, post-training (SFT, RLHF, DPO), and benchmark evaluation
- Contribute to training and scaling 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-grade LLM-powered solutions
- Stay current with advancements in AI technologies (frontier models, training methodologies)
Qualifications
- 7+ years of experience in deep learning, NLP, computer vision, voice
- Proficient in data preprocessing, model training, evaluation, and optimisation
- Practical experience applying deep learning to solve real business problems with models deployed in production
- 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 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
Skills
Required:Deep learning
Benefits
- (Not explicitly listed in the description)
Last updated Oct 21, 2026. Interested? Apply on the company site.
About GoTo
Go Together, Go Far
Kami adalah perusahaan teknologi nomor 1 di Indonesia. GoTo berdedikasi untuk menciptakan dampak sosial berskala besar di manapun kami beroperasi.
Teknologi
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