Job Description
•Model and solve complex optimization problems in logistics and related business scenarios, including but not limited to route planning, scheduling optimization, resource allocation, and inventory optimization.
• Design and implement practical, production-ready optimization solutions based on operations research methods (such as linear programming, integer programming, network flow, and stochastic optimization) as well as heuristic and meta-heuristic algorithms (e.g., GA, SA, TS, ACO, PSO).
• Possess hands-on experience in either Computer Vision (CV) or Natural Language Processing (NLP), with in-depth practical application of Large Language Model (LLM) technologies, including but not limited to RAG, fine-tuning, Agents, MCP, and Skills.
• Optimize algorithm performance, robustness, and scalability based on business data and constraints, ensuring that solutions can be effectively engineered and deployed in large-scale, highly constrained ...