6 Ortools Jobs

As a Principal Data Scientist, you will play a crucial role in developing enterprise-grade optimization solutions and platforms. Your expertise in mathematical optimization, strong Python programming skills, and ability to bridge technical and business teams will be key in solving complex business problems across various domains. Key Responsibilities: - Design & Development: Architect and implement optimization models (LP, MILP, CP, metaheuristics) using solvers like Gurobi, CPLEX, or open-source equivalents. - Platform Building: Lead the design and development of optimization-as-a-service platforms with modular, reusable architecture. - Techno-Functional Role: Translate business requirement...

Role Overview: As an Optimization and ML Modelling Engineer at Sustainability Economics.ai, you will be responsible for designing, developing, and deploying prescriptive models to identify optimal solutions under complex business and operational constraints. Your role will involve formulating and solving optimization problems using advanced mathematical programming and numerical methods. By combining strong analytical thinking with hands-on Python development, you will build models that drive intelligent, data-informed decision-making. Key Responsibilities: - Design, develop, and implement optimization and forecasting models for complex analytical problems. - Apply mathematical programming (...

As Manager of Data Science at A&M GCC PI Supply Chain team, you will contribute in the following key areas: - Develop and automate data pipelines using Python for ingestion, cleansing, and transformation of supply chain data - Design predictive analytics models in Python (e.g., demand forecasting, inventory optimization) using libraries such as pandas, scikit-learn, stats models, and Prophet - Implement anomaly detection models to flag irregularities in procurement costs, delivery timelines, and inventory movements - Develop end-to-end ETL workflows for integrating data from SAP, SQL databases, and Excel-based trackers - Use Python for simulation of what-if scenarios in logistics and supply ...

As an Optimization Scientist specializing in Route & Inventory Optimization at a leading AI-driven supply chain solutions company, your role will involve supporting the development of intelligent optimization systems for route planning and inventory allocation. You will work alongside experienced scientists and engineers to tackle real-world logistics challenges using machine learning, reinforcement learning, and operations research techniques. Key Responsibilities: - Assist in Route Optimization Projects: - Support in modeling and solving simplified versions of Vehicle Routing Problems (VRP) under guidance. - Utilize Python libraries like Pyomo or OR-Tools to prototype optimization solution...

You are a skilled Principal Data Scientist with 10-13 years of experience in developing enterprise-grade optimization solutions. Your expertise lies in mathematical optimization, Python programming, and bridging the gap between technical and business teams. You will be responsible for leading the design and deployment of scalable optimization engines to solve complex business problems across various domains. Key Responsibilities: - Design & Development: Architect and implement optimization models (LP, MILP, CP, metaheuristics) using solvers like Gurobi, CPLEX, or open-source equivalents. - Platform Building: Lead the design and development of optimization-as-a-service platforms with modular,...

As an Optimization Scientist specializing in Route & Inventory Optimization (OR & RL) at our Hyderabad location, you will play a crucial role in transforming retail, FMCG, and logistics industries through cutting-edge technologies such as machine learning, operations research, and reinforcement learning. Your main objective will be to develop intelligent systems that automate decision-making processes across forecasting, inventory management, and transportation. In this internship role, you will work closely with experienced scientists and engineers to gain hands-on experience in applying machine learning, reinforcement learning, and operations research to tackle real-world logistics challen...