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Mid-level Bangalore ML/AI role with common SQL/Python skills and moderate brand yields medium competition.
Requires supply-chain, SAP/ERP, and manufacturing experience, so background fit sensitivity is high.
Explicit 6–8 years plus Databricks, Python, ML and GenAI requirements make shortlisting highly strict.
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Drive advanced analytics, AI, and machine learning solutions to improve end-to-end Supply Chain performance, including planning, procurement, inventory, manufacturing, and fulfillment.
Design, develop, and deploy diagnostic, predictive, and prescriptive models and scalable analytical applications from ideation through adoption and production with cross-functional global teams.
Build rapid AI-powered prototypes and MVPs, leveraging complex multi-source enterprise data, including SAP/ERP systems, while owning solutions end-to-end for measurable business value.
6–8 years of professional experience in Data Science, Advanced Analytics, AI/ML, Analytics Engineering, or Supply Chain Analytics.
Strong hands-on expertise in SQL, Python, Databricks, Power BI, and modern AI/ML technologies; experience with complex SQL queries and multi-source large datasets.
Bachelor’s or Master’s degree in Engineering, Computer Science, Statistics, Data Analytics, Supply Chain, Operations, or related field.
Work Experience Required: 6–8 years in relevant analytics and AI roles, preferably within automotive, manufacturing, or supply chain domains.
Proven experience independently solving complex Supply Chain analytics problems with end-to-end delivery from problem definition to production deployment of AI/ML and analytics solutions.
Strong domain expertise in Supply Chain processes and KPIs, with ability to translate ambiguous business challenges into structured analytical and technical solutions.
Comfortable working in a global, hybrid environment and managing stakeholder relations across business, analytics, and technology functions with a consulting mindset focused on measurable impact.