Lead Operations Research Engineer - LP, MIP, heuristics, Python, Gurobi, CPLEX
Tasks
- Build backend systems in Python
- Deliver end to end software including testing deployment monitoring
- Design optimization and decisioning systems
- Develop data pipelines
- Develop optimization pipelines
- Drive system architecture decisions
- Improve solver performance
- Integrate AI ML models into decision systems
- Integrate solver tooling into services
- Mentor engineers
- Optimize data models in NoSQL
- Translate business problems into optimization models
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Artificial Intelligence | Azure | CI/CD | CPLEX | Cloud platform | Constraint Programming | Constraint Solving | DevOps | Distributed Systems | ETL | Google Cloud | Google Cloud Platform | Gurobi | Heuristics | Integer Programming | Linear Programming | Machine Learning | Metaheuristics | Microservices | Mixed Integer | Mixed-Integer Programming | MongoDB | NoSQL | OR-Tools | Python | REST APIs | Real Time | Real-time Systems | Snowflake | Streaming Data | Time Systems | Web Services
Education
N/A
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