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Metro Bengaluru, generalist data scientist title, and broad AWS+LLM skillset increases candidate competition.
Generative AI and cloud data skills are widely transferable across industries.
Multiple mandatory cloud, data and LLM technologies indicate strict technical screening.
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Operate and develop AI/ML solutions using AWS AI services including Glue, Lambda, and Redshift.
Implement and optimize prompt engineering with LLMs, RAG Architecture, and Agentic AI.
Collaborate on integrating AI tools possibly within supply chain or related domains.
Proficient in AWS Glue, Lambda, and Redshift databases.
Strong programming skills in Python and SQL.
Experience with LLMs, Retrieval-Augmented Generation (RAG) Architecture, Agentic AI, and Prompt Engineering.
Work Experience Required: Not explicitly mentioned in the JD.
Experience working with AWS AI/ML services and cloud databases in production environments.
Familiarity or interest in applying AI technologies such as Bedrock and GitHub Copilot.
Knowledge or background in supply chain domain is a plus but not mandatory.