Optimization Specialist

S P A Enterprise

0 years

0 Lacs

Telangana India

Posted:4 days ago| Platform:

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Skills Required

optimization research simulation design scheduling routing planning data software ai ml algorithms forecasting clustering drive testing support model programming integer pyomo cplex gurobi python learning evaluation metrics communication documentation engineering mathematics

Work Mode

Remote

Job Type

Contractual

Job Description

Location:

Looking for a highly analytical and technically skilled Optimization Specialist to build and scale mathematical models and process optimization. Candidates must show strong grounding in operations research, simulation, and/or machine learning.

Design and implement optimization models (e.g., LP, MIP, MILP) for real-world scheduling, routing, and planning scenarios.
Build simulation models to evaluate performance under uncertainty (e.g., disruptions, variable demand).
Collaborate with data scientists, software engineers, and business analysts to refine problem definitions and translate them into quantitative models.
Use AI/ML algorithms (forecasting, clustering, classification) to drive predictive optimization workflows.
Conduct what-if analyses and sensitivity testing to support decision-making.
Support research and pilot initiatives involving Quantum-Inspired Optimization (QUBO, hybrid models).
Present findings and model performance to stakeholders with clear, concise visualizations and documentation.
Strong knowledge of Linear Programming (LP), Mixed Integer Programming (MIP/MILP), Constraint Programming.
Formulating and solving large-scale combinatorial problems
Hands-on experience with Optimization libraries like Pyomo, PuLP, Google OR-Tools
Solvers like CPLEX, Gurobi, GLPK, or CBC
Programming proficiency in Python, R, or MATLAB
Simulation expertise in SimPy, AnyLogic, Arena, or equivalent tools for discrete-event or agent-based simulation
Applied machine learning knowledge Forecasting models, clustering, and model evaluation metrics (e.g., MAPE, RMSE)
Clear communication and documentation skills to present models and insights to non-technical audiences
Educational background PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or related field

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