Operation research with Python experience

Design and develop mathematical optimization models to solve complex business problems.
Implement optimization algorithms using Python and relevant OR tools.
Work on linear, mixed-integer, non-linear, and stochastic optimization models.
Develop heuristic and metaheuristic approaches for large-scale optimization problems.
Translate business requirements into mathematical formulations.
Collaborate with cross-functional teams to integrate optimization models into production systems.
Optimize performance and scalability of models.
Document models, assumptions, and solution approaches clearly.

Responsibilities

4–6 years of professional experience in Optimization / Operations Research roles.
Strong understanding of optimization modeling languages and environments such as:
Gurobi
PuLP
AMPL
Other OR tools
Good understanding of:
Linear Programming (LP)
Mixed Integer Programming (MIP)
Non-linear Programming (NLP)
Stochastic Programming
Heuristic and metaheuristic methods
Advanced Python programming skills with strong Object-Oriented Programming (OOP) knowledge.
Experience integrating optimization solutions into real-world applications.
Strong mathematical and analytical problem-solving abilities.

Requirements

4–6 years of professional experience in Optimization / Operations Research roles.
Strong understanding of optimization modeling languages and environments such as:
Gurobi
PuLP
AMPL
Other OR tools
Good understanding of:
Linear Programming (LP)
Mixed Integer Programming (MIP)
Non-linear Programming (NLP)
Stochastic Programming
Heuristic and metaheuristic methods
Advanced Python programming skills with strong Object-Oriented Programming (OOP) knowledge.
xperience integrating optimization solutions into real-world applications.
Strong mathematical and analytical problem-solving abilities.