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Popular ML/AI role with broad LLM/Databricks requirements in Bangalore, increasing applicant density and competition.
Role targets ML expertise plus supply-chain domain knowledge, limiting transferability across unrelated industries.
Requires specialized ML/LLM and Databricks experience, making technical stack and domain skills mandatory.
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Develop, deploy, and maintain AI/ML solutions focused on enhancing supply chain visibility, decision-making, and operational efficiency.
Apply expertise in Machine Learning, Predictive Analytics, Generative AI/LLMs, Retrieval-Augmented Generation, and Agentic AI techniques.
Work with technologies including Python, SQL, Databricks, and other modern data science platforms specifically targeting supply chain analytics, forecasting, risk prediction, and intelligent automation.
Strong expertise in Machine Learning, Generative AI, and related AI/ML fields.
Technical proficiency with Python, SQL, and Databricks platform.
Domain knowledge in Supply Chain Analytics including forecasting, risk prediction, and automation.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in applying AI/ML methods to supply chain operations and analytics.
Skilled in using advanced AI techniques such as LLMs, RAG, and Agentic AI for operational improvements.
Capable of handling end-to-end AI/ML lifecycle in a data-driven environment leveraging modern data science platforms.