Optimization Scientist – Route & Inventory Optimization (OR & RL)
at WINIT
PythonJob Title: Optimization Scientist – Route & Inventory Optimization (OR & RL)
Location: Hyderabad (On-site)
Experience Required: 1+ year
Company Overview:
We are a leading AI-driven supply chain solutions company focused on transforming retail, FMCG, and logistics through cutting-edge technologies in machine learning, operations research, and reinforcement learning. Our mission is to build intelligent systems that enhance decision-making and automate processes across forecasting, inventory, and transportation.
Internship Overview:
We are seeking a passionate and motivated AI/ML Intern to support the development of intelligent optimization systems for route planning and inventory allocation. You will work alongside experienced scientists and engineers, gaining hands-on experience in applying machine learning, reinforcement learning, and operations research to real-world logistics challenges.
Key Responsibilities:
🔹 Assist in Route Optimization Projects:
- Support in modeling and solving simplified versions of Vehicle Routing Problems (VRP) under guidance.
- Work with Python libraries like Pyomo or OR-Tools to prototype optimization solutions.
- Explore reinforcement learning methods (e.g., DQN, PPO) for dynamic routing decisions under uncertainty.
🔹 Support Inventory Optimization Efforts:
- Learn to model multi-echelon inventory systems using basic OR and simulation techniques.
- Analyze historical data to understand stock levels, service times, and demand variability.
- Help design experiments to evaluate replenishment strategies and stocking policies.
🔹 Contribute to AI-Driven Decision Systems:
- Assist in integrating ML forecasting models with optimization pipelines.
- Participate in the development or testing of simulation environments for training RL agents.
- Collaborate with the team to evaluate model performance using historical or synthetic datasets.
Required Qualifications:
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or related field.
- Good understanding of Python and key libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
- Familiarity with basic optimization concepts (LP/MILP) and libraries like OR-Tools or Gurobi (student license).
- Basic knowledge of reinforcement learning frameworks (OpenAI Gym, Stable-Baselines3) is a plus.
- Strong problem-solving skills and willingness to learn advanced AI/OR techniques.
What You’ll Gain:
- Hands-on exposure to real-world AI and optimization use cases in logistics and supply chain.
- Mentorship from experienced scientists in OR, ML, and RL.
- Experience working in a fast-paced, applied research environment.
- Opportunity to convert to a full-time role based on performance and business needs.
About WINIT:
WINIT is a pioneer in mobile Sales Force Automation (mSFA) with over 25 years of experience. We serve more than 600 global enterprises, helping them enhance efficiency, streamline logistics, and leverage AI/ML to optimize sales operations. With a commitment to innovation and global support, WINIT continues to lead digital transformation in sales.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Follow CutshortShubham Vishwakarma
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