1 - 6 years

2 - 4 Lacs

Hyderabad / Secunderabad, Telangana, Telangana, India

Posted:3 days ago| Platform: Foundit logo

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Skills Required

Mixed Integer Linear Programming MILP reinforcement learning Vehicle Routing Problem stochastic Simulation Decision Automation

Work Mode

On-site

Job Type

Full Time

Job Description

What You'll Do As an Optimization Scientist, you will design and deploy scalable optimization and reinforcement learning models to solve complex supply chain problems. You'll work on: Route Optimization:Solve VRP variants (Capacitated, Time Window, Multi-depot) using MILP, heuristics, and RL. Inventory Optimization:Develop multi-echelon inventory models using stochastic/dynamic programming and ADP. AI/OR Integration:Combine ML forecasts, OR models, and RL agents for end-to-end decision automation. Simulation & Deployment:Build simulation environments and deploy models in real-world systems. What We're Looking For Degree in Operations Research, Industrial Engineering, Applied Math, Computer Science, or related fields. 1+ years of experience in solving OR problems (LP/MILP, heuristics, metaheuristics). Hands-on experience with RL algorithms (PPO, DQN, A3C) and toolkits (OpenAI Gym, RLlib, Stable-Baselines3). Strong Python skills with libraries like Gurobi, Pyomo, NumPy, Pandas, TensorFlow/PyTorch. Why Join Us Work on real-world, high-impact problems in supply chain and logistics. Collaborate with a world-class team of scientists and engineers. Flexible, innovation-driven culture with opportunities for growth.

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