Operations Research & Applied AI Engineer
Tasks
- Benchmark modeled output against real business results
- Build AI evaluation frameworks with ground truth and regression testing
- Build testing and validation infrastructure
- Collaborate with stakeholders to implement and approve production systems
- Deploy AI solutions to production with monitoring and evaluation
- Design mathematical optimization models for operations
- Develop applied AI applications for operational decision support
- Formulate and solve mixed integer programming and network flow problems
- Identify business opportunities for optimization and AI
- Measure and validate solution quality
- Prototype and scale initiatives into supported systems
Perks/Benefits
- N/A
Skills/Tech-stack
Azure OpenAI | CPLEX | Continuous integration | Ground Truth | Gurobi | Heuristic algorithms | Integer Programming | Language Models | Large Language Models | Linear Programming | Machine Learning | Metaheuristic algorithms | Mixed Integer | Mixed-Integer Programming | Model Evaluation | Monitoring | Network flow | Prompt engineering | Python | Regression testing | SCIP | SQL | Structured Logging | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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