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Contract Ai Ml Engineer Databricks Bangalore 1 Year Contract (India)

BangalorePosted 1 month ago
Data Science And StatisticsMid-levelFull Time; Regular
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World Wide Technology (WWT), a 36-year-old global technology solutions provider specializing in systems integration, Infra-Cloud security, application development, AI Services, and supply chain solutions. With a workforce of 10,000+ employees and strategic partnerships with leading OEMs such as Cisco, Dell EMC, Microsoft, and NVIDIA, WWT delivers cutting-edge infrastructure, cloud, security, and custom application services to clients across 35 countries. Our Advanced Technology Centers (ATCs)lab setup environments spanning over one million square feet of world-class integration and distribution space enable us to deliver unmatched value and innovation at scale. Recognized as one of the Best Places to Work by Glassdoor and Fortune for 14 consecutive years, WWT is also ranked #6 on Indias Excellent Place to Work list for 2025. World Wide Technology Holding Co, LLC. (WWT) currently has an exciting opportunity available for the role ofAI/ML Engineer . If you are interested in this prospect, please respond with an updated resume and the required details at the bottom of this email. This is a contract Role & we use a global payroll partner to manage payroll for all contract opportunities with us. A proper background verification of past employments, criminal checks would be done for onboarding to any prospect with WWT. Role : AI/ML Engineer Location : Bangalore Experience : 5+ years with min 3 years in AI/ML Duration : 1 Year Role & responsibilities The Data Scientists are expected to work on the GenAI/LLM layer, specifically: Key Responsibilities Working with unstructured enterprise data Creating and managing vector indexes Building and optimizing RAG/search capabilities Integrating data with supervisor agents Prompt engineering Fine-tuning LLM behaviors Optimizing text-to-SQL workflows Improving model accuracy and reducing hallucinations/errors Configuring model parameters (temperature, retrieval tuning, etc.) Working with Databricks GenA .

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