5 дней назад
Senior Data Scientist (LLM)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (LLM) (Multilingual AI): Building multilingual large language models for Bahasa Indonesia and regional languages, with an accent on dataset construction, pre-training, fine-tuning, alignment, and safety. Focus on scaling model training, developing culturally appropriate guardrails, and deploying reliable LLM-powered features for consumer and enterprise applications.
Location: Singapore; hybrid workplace
Company
A digital ecosystem providing mobility, delivery, payments, financial services, e-commerce, banking, and technology solutions in Indonesia.
What you will do
- Work with large-scale multilingual corpora across text, audio, and image modalities.
- Build datasets for continual pre-training, post-training, supervised fine-tuning, RLHF, DPO, and benchmark evaluation.
- Contribute to multilingual LLM training, scaling, alignment, and state-of-the-art research for efficient operations.
- Improve safety alignment and guardrail systems for responsible and culturally appropriate model behavior.
- Collaborate with product, business, and engineering teams to deploy production-grade LLM-powered solutions.
- Identify impactful AI use cases and track advances in frontier models and training methodologies.
Requirements
- 4+ years of experience in deep learning, NLP, computer vision, and voice.
- Proficiency in data preprocessing, model training, evaluation, and optimization.
- Experience applying deep learning to business problems and deploying models in production.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Experience with cloud platforms such as Alibaba Cloud or Tencent Cloud.
- Master’s or PhD in Computer Science, Data Science, AI, or a related field, plus strong communication and technical documentation skills.
Culture & Benefits
- Work on foundational multilingual AI models designed for Indonesia and regional languages.
- Collaborate with colleagues from diverse technical and cultural backgrounds.
- Develop AI systems for consumer and enterprise applications at large scale.
- Permanent employment with a hybrid work arrangement.
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