Data Scientist

Responsibilities : Design, implement, and optimize prompting and tuning techniques for Large Language Models (LLMs) and LLM-based agents. Develop and enhance the in-house AI training and inference platform to improve scalability and performance. Conduct cutting-edge research and development in LLMs, Retrieval-Augmented Generation(RAG), and agents. Collaborate with cross-functional teams to deploy LLMs and agents into production environments. Requirements : Minimum Bachelor's Degree in Computer Science, Mathematics, Computational Linguistics, or a related field. 2+ years of hands-on experience in data science, machine learning, or AI research, with proficiency in Python. Strong understanding of NLP/CV/LLM fundamentals, including Transformers and Attention, etc. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and related libraries (e.g., Hugging Face, LangChain). Having experience in fine-tuning large language models (LLMs) and developing LLM-based agents. Publications in top-tier conferences (NeurIPS, ICML, ACL, CVPR, etc.) are highly desirable. Having experience in applying AI techniques to solve financial problems is a plus. Excellent communication skills; both in written and spoken English.