Operations Research Engineer

EXL; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

EXL is seeking an Operations Research Engineer to develop labor optimization models using LP, MILP or heuristic search for our Amazon Supply Chain projects. You will work with our Research team to define business requirements, build data pipelines, write optimization code and assess solution quality.

Ideal candidates have 2+ years in optimization with LP/MILP, experience with solvers like Gurobi/Xpress/CPLEX, and programming in Python with SQL knowledge.

Qualifications

• 2+ years in building optimization models (LP, MILP)
• Experience with commercial solvers (Gurobi, Xpress, CPLEX)
• Programming in at least one language (Python preferred)
• Basic knowledge of SQL

Responsibilities

• Define business requirements with program partners
• Build data pipelines for optimization workflows
• Write optimization code and assess solution quality across scenarios
• Collaborate with cross-country teams to align on objectives

Skills

LP/MILP

Python

SQL

Tools

Gurobi

FICO Xpress

IBM CPLEX

Job description

Come build Optimization tools for Amazon Supply Chain. Our Research team builds decision support tools for supply chain processes across multiple countries. We are looking for an Operations Research Engineer develop of our labor optimization models using Mixed Integer Programming, Linear Programming or Heuristic search. This engineer, will work closely with our program partners to define business requirements, build data pipeline, write optimization code and deep dive on solution quality.

• 2+ years of experience in field of Optimization building Linear Programming, Mixed Integer Programming models.
• Experience with commercial solvers like Gurobi, FICO Xpress or IBM CPLEX
• Programming experience with at least one software programming language. Python preferred
• Basic knowledge of SQL

Preferred qualifications

• Excellence in technical communication with peers and non-technical cohorts who may be remote
• Ability to tackle big, incompletely specified problems and resolve ambiguity in the customer's favor.
• Ability to drive consensus within a team and influence outcomes in significant technical decision-making.