Key Skills: Machine Learning, Implementation, Operations Research, Optimization, Python, Design, Mixed Integer Programming (MILP/MIP), Mathematical modelling, Mathematical Optimization
Roles and Responsibilities:
Lead the design, implementation and delivery of advanced optimization solutionsfor terminal operations including container handling equipment efficiency, yard positioning strategies,vessel loading/unloading sequencing, and truck routing.
Build both operational tools for day-to-day terminal operations and strategic models for long-term planningand decision-making.
Coach and mentor junior team members in optimization techniques and operations research methodologies.
Work with relevant stakeholders to understand terminal operational dynamics and business processes,incorporating their needs into products to enhance value delivery.
Collaborate and communicate model rationale, results and insights with product teams, leadership andbusiness stakeholders to roll out solutions to production environments.
Analyse data, measure delivered value,



and continuously evaluate and improve models to increaseeffectiveness and operational impact.
Validate and iterate on optimization solutions against discrete event simulation models of terminal operations,
System design, architecture, and solution design for recent features.
Skills Required:
5+ years of industry experience in building and deliveringoptimization solutions
PhD or M.Sc. in Operations Research, Industrial Engineering, Machine Learning, Statistics, AppliedMathematics, Computer Science, or other field related to algorithms and data (or equivalent experience).
Depth in optimization modelling — LP, MILP, constraint programming, and/or metaheuristics, applied to problems like scheduling, sequencing, routing, bin packing, and resource allocation.
Fluency implementing these in Python across open-source and commercial solvers (e.g. PuLP, OR-Tools/CP-SAT, HiGHS, Gurobi).
Experience developing optimization models for stochastic

📌 Senior Operations Research Engineer_102701 (Bengaluru)
🏢 MyCareernet
📍 Bengaluru