**Introduction** The Data Scientist role requires a highly analytical individual proficient in Python programming, algorithm，database management, and data science methodologies. You’ll focus on extracting insights from data, developing and implementing machine learning models, managing big data infrastructure, and supporting AI-driven product development. **Your role and responsibilities** 1. Led/participated in large model application projects, built high-performance RAG system, optimized the accuracy and efficiency of retrieval and generation modules; 2. Design model tuning schemes (LoRA/P-Tuning/ full parameter tuning, etc.) to improve the performance of the model in the vertical field; 3. Explore large model compression and inference acceleration technologies to promote model industrial deployment; 4. Build innovative solutions such as domain knowledge enhancement and multi-modal data fusion; 5. Tracked the industry technology dynamics (such as Agent/ long context optimization), and promoted the team's technology upgrade. **Required technical and professional expertise** 1. More than 2 NLP/ large model project experience, leading RAG system development (familiar with LangChain/LlamaIndex and other frameworks) 2. Proficient in large model tuning technology chain: data cleaning - prompt engineering - efficient parameter fine-tuning - evaluation alignment 3. Master PyTorch/TensorFlow framework and have distributed training/multi-card parallel practical experience 4. With 100 billion parameter model pre-training/industry large model landing experience is preferred 5. Have good communication skills and self-drive, can effectively lead the team to carry out technical research and development work, and ensure the timely and high-quality delivery of projects. **Preferred technical and professional experience** Hiring manager and Recruiter should collaborate to create the relevant verbiage. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.