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Tier-1 brand, Bangalore metro, and a mid-level generalist ML/AI role drive high applicant competition.
Core ML, cloud, and MLOps skills are transferable, but supply-chain and healthcare domain knowledge raises specialization.
Explicit years, Python plus cloud and LLM/MLOps requirements create moderately strict shortlisting.
Support design, development, and deployment of AI/ML and Generative AI solutions to improve Supply Chain functions.
Assist in building and maintaining scalable, production-ready AI applications including ML models, AI agents, and cloud-native solutions on AWS and Azure.
Collaborate with Supply Chain stakeholders, data scientists, and cloud architects to translate business requirements into reliable AI solutions delivering measurable value.
Bachelor's degree in Computer Science, Software Engineering, AI, or related field plus 2 to 4 years professional experience in ML, AI, Data Science, or AI Engineering (or Master's with relevant experience including internships).
3+ years hands-on experience with Python and foundational experience in ML/AI solution design, including forecasting, predictive modeling, feature engineering, ideally on Azure, AWS, or Databricks.
Exposure to Generative AI and Agentic AI frameworks such as Lang Graph, Lang Chain, Auto Gen, or Crew AI.
Location: Bangalore (Hybrid) with up to 40% travel to office.
Has practical experience collaborating across Supply Chain and AI/ML teams to deliver production-ready AI solutions supporting operational efficiency.
Familiar with cloud AI deployment and MLOps practices on AWS and Azure, including CI/CD and model monitoring.
Demonstrates foundational knowledge of LLMs, prompt engineering, system design patterns, and enterprise data engineering relevant to AI/ML applications.