Lead Operations Research Engineer - LP, MIP, heuristics, Python, Gurobi, CPLEX
Core
Design and build scalable optimization and decisioning systems using Operations Research techniques to solve complex business problems.
Role type
Lead Operations Research Engineer
Builds
Optimization and decisioning systems, data pipelines, and backend systems
Domain
Operations Research / Optimization, Data Engineering, AI/ML
Deliverable
production ML models | product features | infrastructure
Required skills
Linear Programming (LP), Mixed Integer Programming (MIP), Heuristics/Metaheuristics, Python development, Gurobi/CPLEX/OR-Tools, Snowflake, MongoDB/NoSQL, AI/ML integration, System design, Distributed systems
Preferred skills
Large-scale optimization (supply chain/logistics), Real-time decision systems, ETL/Streaming systems, DevOps/CI-CD, Cloud cost optimization, Reinforcement Learning
Technologies
Python, Gurobi, CPLEX, OR-Tools, Snowflake, MongoDB, Azure/AWS/GCP
Responsibilities
Lead design and development of optimization systems, Build scalable backend systems, Develop and manage data pipelines, Design and optimize data models, Integrate AI/ML models, Drive architecture decisions, Mentor engineers
Seniority
Senior, hands-on IC with leadership responsibilities
