Senior Python Optimization Engineer - Gurobi / Unit Commitment

About The Role

We are looking for a Senior Python Optimization Engineer / Gurobi Modeler to support a Python-based Unit Commitment model that uses Gurobi as a MILP solver.  

This is expected to be a long-term, part-time engagement with regular overlap with US Eastern Time. The role will help maintain, troubleshoot, and extend the existing model as it becomes part of a standard customer offering. Workload may vary over time, with occasional ramp-up during customer implementations and lighter ongoing support between projects.

The ideal candidate combines strong Python engineering, practical MILP modeling experience, and hands-on Gurobi knowledge. Experience in power systems, energy markets, or Unit Commitment is strongly preferred.

Key Responsibilities

• Maintain and enhance an existing Python-based Unit Commitment optimization model.
• Troubleshoot model behavior, infeasibility issues, solver performance, and customer-specific cases.
• Extend the model with new constraints, business rules, objective terms, or configuration options.
• Provide ongoing part-time support for issues that arise between implementation projects.
• Improve model maintainability, structure, documentation, and repeatability.
• Work with client-side product teams and engineering stakeholders to clarify requirements and validate results.
• Document model assumptions, formulation logic, known limitations, changes, and troubleshooting steps.

Technical Requirements

Required:

• Strong Python development experience.
• Hands-on experience with Gurobi.
• Practical experience building, maintaining, or extending MILP optimization models.
• Ability to debug optimization models, including infeasibility, constraint behavior, and solver performance issues.
• Experience working with existing codebases and improving model maintainability.
• Ability to understand mathematical formulations and translate them into production-quality Python code.
• Strong analytical and problem-solving skills.
• Good written and spoken English communication.
• Reliable availability for a part-time engagement.
• Regular working-hours overlap with US Eastern Time.

Nice To Have:

• Experience with Unit Commitment models.
• Experience in power systems, electricity markets, energy optimization, or production cost modeling.
• Familiarity with economic dispatch, reserves, ramping constraints, startup/shutdown logic, min up/down times, renewables, storage, or transmission constraints.
• Experience with pandas, NumPy, or similar Python optimization/data libraries.
• Experience tuning Gurobi models for performance.
• Experience productizing analytical or optimization models for repeat customer use.
• Experience supporting customer implementations or production troubleshooting.
• Ability to explain model behavior and tradeoffs to both technical and non-technical stakeholders.