Overview
Lead the technical direction for AI-augmented optimisation and intelligent operational decisioning across Network Design and Ocean Operations. Guide specialists and shape AI, optimisation, and agentic decision systems for planning and execution.
What you'll do
- Lead optimisation intelligence across network design, routing, vessel deployment, cargo flow, and operational decisioning.
- Set direction for problem framing, optimisation approaches, heuristics, search, and AI-enhanced decision quality.
- Guide specialists building optimisation models, analytical components, and AI capabilities.
- Drive experimentation to evaluate methods and improve performance, robustness, and scalability.
- Define how AI interacts with solver layers, heuristics, optimisation services, and enterprise workflows.
- Lead agentic AI for reasoning, orchestration, exception handling, and human-in-the-loop support.
- Communicate assumptions, trade-offs, and limitations to senior stakeholders.
What you'll need
- Advanced degree in engineering, mathematics, computer science, operations research, or another quantitative field.
- Significant experience leading applied AI, decision intelligence, optimisation, or analytical platform work.
- Strong understanding of optimisation and modelling principles.
- Experience improving planning, routing, scheduling, or network optimisation.
- Strong Python skills and collaboration with software and data engineering teams.
- Ability to lead experimentation and validate model performance.
- Strong communication skills for explaining technical trade-offs to non-technical stakeholders.
Nice to have
- Experience in logistics, supply chain, shipping, transportation, or another optimisation-heavy industry.
- Exposure to large-scale network design, routing, fleet planning, or cargo flow optimisation.
- Experience with learning-augmented algorithms, surrogate models, search guidance, or reinforcement learning.
- Experience taking optimisation methods from research and prototyping into production.
Details
- Location: Bengaluru, Karnataka, India.
Read the full description and apply on the company’s own careers page.