Operations Research Engineer | Bangalore

Michael Page; Bengaluru; On-site; INR 4,000,000 - 6,500,000; Full time

Benefits offered by this job

Permanent role

Career growth

AI projects in Bengaluru

Job summary

Michael Page partners with a global leader in port, logistics and supply chain to hire a senior optimization specialist. Design and deliver optimization solutions for terminal operations, including container handling, yard positioning, vessel sequencing and truck routing.

You will build operational tools and strategic models, mentor junior team members, collaborate with product teams and leadership, and continuously evaluate models against simulation to maximise value and impact.

Qualifications

• 5+ years of industry experience delivering optimization solutions.
• Advanced degree in OR/IE/ML/Statistics/Applied Mathematics or CS.
• Deep expertise in LP/MILP, constraint programming, or metaheuristics.
• Proficient in Python with open-source and commercial solvers.
• Experience with stochastic environments and simulation.
• Proven track record of production-grade Python.
• Ability to translate complex operations into technical solutions.
• Experience leading technical teams and driving projects end-to-end.

Responsibilities

• Lead design, implementation and delivery of advanced optimization solutions for terminal operations.
• Develop operational tools and strategic models for planning.
• Coach and mentor junior team members in optimization techniques.
• Collaborate with stakeholders to refine requirements and deliver value.
• Communicate model rationale and insights with product teams and leadership.
• Analyse data, measure value, and continuously improve models.
• Validate solutions against discrete event simulation models.
• System design and architecture for new features.

Skills

Optimization modelling

Python programming

Leadership

Stakeholder communication

Analytics

Education

PhD or MSc in OR/Industrial Eng/ML/Statistics/Applied Mathematics/CS

Tools

PuLP

OR-Tools/CP-SAT

HiGHS

Gurobi

Job description

About Our Client

This is a global leader in the port, logistics, and supply chain industry, operating one of the world's largest integrated networks across container terminals, maritime services, and inland logistics. The organization is at the forefront of digital transformation, leveraging advanced analytics, optimization, AI/ML, and automation to enhance operational efficiency and drive innovation across its global operations. The company offers a highly collaborative and international work environment where technology, data science, and operations intersect to solve complex real-world challenges at scale. Employees have the opportunity to work on high-impact projects that directly influence global trade, transportation networks, and next-generation logistics solutions.

• Global Scale and Impact
• Career Growth and Development

Job Description

• Lead the design, implementation and delivery of advanced optimization solutions for 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 planning and 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 and business stakeholders to roll out solutions to production environments.
• Analyse data, measure delivered value, and continuously evaluate and improve models to increase effectiveness and operational impact
• Validate and iterate on optimization solutions against discrete event simulation models of terminal operations,
• System design, architecture, and solution design for new features.

The Successful Applicant

We're Looking For Someone Who Has

• 5+ years of industry experience in building and delivering optimization solutions
• PhD or M.Sc. in Operations Research, Industrial Engineering, Machine Learning, Statistics, Applied Mathematics, 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 operational environments, and evaluating them against simulation.
• Track record of delivering production-quality Python.
• Ability to understand complex operational systems and translate business requirements into effective technical solutions.
• Experience in leading technical work, coaching junior colleagues, and driving projects from concept to delivery.

What's on Offer

• Be part of a leading organisation in the shipping freight industry.
• Opportunity to work on innovative AI projects in Bengaluru.
• Permanent role with career growth potential.

Quote job ref: JN-102026-7122368