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MindBrain
Operations Research (Optimization) Engineer (5+ yrs)
MindBrain
Anywhere•Remote•5-8 Yrs•1 day ago
Job description
Remote
Overview
Job Title: Operations Research (Optimization) Engineer / Scientist
Responsibilities
- Design, develop, and implement mathematical optimization models for complex business problems.
- Build optimization algorithms using Operations Research techniques.
- Develop and solve optimization models using Linear Programming (LP), Mixed Integer Programming (MIP/MILP), Constraint Programming (CP), and related methods.
- Apply optimization techniques to business use cases such as:
- Supply Chain Optimization
- Inventory Optimization
- Demand & Supply Planning
- Warehouse Optimization
- Network Optimization
- Resource Allocation
- Scheduling & Routing
- Workforce Planning
- Working Capital Optimization
- Develop scalable optimization solutions using commercial or open-source optimization solvers.
- Collaborate with business stakeholders to understand requirements and translate them into optimization models.
- Write efficient production-quality code for optimization applications.
- Integrate optimization models with analytics or AI-based solutions where required.
- 5–6 years of hands-on experience in Operations Research (OR) or Mathematical Optimization.
- Strong expertise in:
- Operations Research
- Mathematical Optimization
- Optimization Modeling
- Optimization Algorithms
- Prescriptive Analytics
- Decision Science
- Hands-on experience with one or more of:
- Linear Programming (LP)
- Mixed Integer Programming (MILP/MIP)
- Constraint Programming (CP)
- CP-SAT
Qualifications
- Location: Remote (Bangalore, Pune, Noida, Gurgaon, Delhi for Asset Collection)
- Duration: 6-12 Months (Contract)
- Job Summary
- We are seeking an experienced Operations Research (Optimization) Engineer/Scientist with strong expertise in Mathematical Optimization and Operations Research (OR). This is not a generic Data Scientist or Machine Learning Engineer role. The ideal candidate should have hands-on experience designing and implementing optimization models to solve complex business problems using advanced optimization techniques.
- Candidates with primary experience in Machine Learning, Deep Learning, NLP, Computer Vision, or Predictive Analytics without Operations Research expertise will not be considered.
- Heuristics
- Metaheuristics
- Genetic Algorithms
- Simulated Annealing
- Tabu Search
- GRASP
- Local Search
- Strong hands-on coding skills (Python preferred).
- Gurobi
- CPLEX
- OR-Tools
- SCIP
- Xpress
- Equivalent optimization frameworks
- Supply Chain Management (SCM)
- Logistics & Transportation
- Manufacturing
- Supply Chain Planning
- Inventory Planning
- Demand Planning
- Warehouse Optimization
- Network Optimization
- Working Capital Optimization
- Simulation Techniques:
- Discrete Event Simulation