Data Scientist

Responsibilities:

1. Design, implement, and optimize prompting and tuning techniques for Large Language Models (LLMs) and LLM-based agents.
2. Develop and enhance the in-house AI training and inference platform to improve scalability and performance.
3. Conduct cutting-edge research and development in LLMs, Retrieval-Augmented Generation(RAG), and agents.
4. Collaborate with cross-functional teams to deploy LLMs and agents into production environments.

Requirements:

1. Minimum Bachelor's Degree in Computer Science, Mathematics, Computational Linguistics, or a related field.
2. 2+ years of hands-on experience in data science, machine learning, or AI research, with proficiency in Python.
3. Strong understanding of NLP/CV/LLM fundamentals, including Transformers and Attention, etc.
4. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and related libraries (e.g., Hugging Face, LangChain).
5. Having experience in fine-tuning large language models (LLMs) and developing LLM-based agents.
6. Publications in top-tier conferences (NeurIPS, ICML, ACL, CVPR, etc.) are highly desirable.
7. Having experience in applying AI techniques to solve financial problems is a plus.
8. Excellent communication skills; both in written and spoken English.

Skills

Machine Learning, Liaising with cross functional teams, Ai, Written English, Responsible AI and Generative AI Practices in Financial Services, Computer Science, Computational Linguistics, LLMs, Language Models, computational skills