大模型应用方向实习生（J105638）
Core
Research multimodal large model algorithms, optimize prompts, and deploy intelligent agents for structured information extraction and smart procurement.
Role type
Intern, Multimodal Large Model Application Engineer
Builds
Intelligent agents for structured information extraction and smart procurement workflows
Domain
Artificial Intelligence, Multimodal Large Models
Deliverable
production ML models
Required skills
Computer vision, Natural language processing, PyTorch, Open-source multimodal large model tuning, Information extraction, Flask, MySQL, Docker, Large model training and inference, ms-swift, SFT, GRPO, VLLM
Preferred skills
Top-tier conference publications, Experience with multi-turn interaction and autonomous error correction in agents
Technologies
PyTorch, Flask, MySQL, Docker, ms-swift, VLLM
Responsibilities
Research multimodal large model algorithms and prompt engineering; Design and deploy agent workflows for complex structured tasks; Evaluate and optimize large model performance and efficiency; Collaborate on technical challenges
Seniority
Intern
