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Tier-1 brand, mid-level 5+ experience, and Bengaluru metro increase applicant competition.
Role demands OR, optimization, simulation, and production ML experience, limiting cross-industry transferability.
Explicit 5+ years plus mandatory production ML, optimization, and OR expertise drives high shortlisting strictness.
Design, implement, and maintain advanced data-driven solutions optimizing container terminal operations including equipment efficiency, yard positioning, vessel sequencing, and vehicle routing.
Develop operational and strategic models for real-time terminal operations and long-term planning.
Translate real-world terminal activities into mathematical models, explain results to non-technical stakeholders, monitor and iteratively improve model performance against terminal data.
5+ years industry experience building and delivering technical or optimization solutions (PhD or exceptional ability may substitute partly).
M.Sc. or PhD in Operations Research, Industrial Engineering, Machine Learning, Statistics, Applied Mathematics, Computer Science, or related quantitative field.
Proven production-quality Python coding experience integrating ML, optimization, simulation, or statistical models into software.
Not explicitly mentioned in the JD: Notice period and strict location constraints.
Depth or strong working knowledge in operations research (optimization modeling), discrete event simulation, statistical modeling, or AI/ML applied to operational problems.
Experience shipping production solutions impacting complex physical operations with measurable outcomes.
Ability to bridge physical operational realities and technical modeling, communicating complex concepts to diverse stakeholders effectively.