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Specialized OR+ML role reduces applicants, but Bangalore location and general ML visibility keep competition moderate.
Core OR and ML skills transfer across industries, yet supply-chain domain experience increases fit sensitivity.
Requires specialized OR/ML and Python skills but no explicit years, producing moderate shortlisting filters.
Develop and enhance optimization and analytical software components for supply chain planning, focusing on operations research and mathematical modeling.
Support AI-powered planning and decision intelligence by building data workflows and applying machine learning to forecasting, prediction, and recommendation.
Design and deliver production-quality Python software, participate in code reviews, and contribute to continuous integration and deployment processes.
Strong Python programming skills and familiarity with operations research techniques such as optimization, linear/integer programming, simulation, and mathematical modeling.
Bachelor's or Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Statistics, AI, ML, or Data Science.
Experience with AI/ML frameworks such as Scikit-Learn, Pandas, NumPy, and PyTorch or TensorFlow.
Work Experience Required: Not explicitly mentioned in the JD.
Educational background in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, or Computer Science with strong Python skills.
Experience or interest in combining operations research, optimization, simulation, machine learning, and decision intelligence to solve complex supply chain or planning problems.
Ability to translate mathematical and AI concepts into scalable, enterprise-grade software solutions within a product development context.