Data Analysis Engineer

Responsibilities:
1. Data analysis and data processing.
2. Design and develop LLM applications such as chatbots, virtual assistants, and content generation tools.
3. Build and optimize RAG pipelines.
4. Fine tune LLMs and implement prompt engineering
5. Collaborate with teams to integrate AI models into daily work flow or business model.
6. Stay up to date with cutting-edge advancements in generative AI and actively contribute to solution innovation.

Requirements：
1. Strong expertise in LLMs and RAG
2. Experienced in model training, system integration, and developing AI applications
3. Proficiency in Python, Statistics and key ML/AI development tools (e.g. PyTorch, TensorFlow)
4. Experienced in developing or deploying AI products or solutions
5. Experience with MLOps practices(model deployment, CI/CD) is plus