Subcontractor - AI OPS (INDIA - BENGALURU - HP, IN)

Birlasoft
Bengaluru
Workplace: OnsiteContractFunction: Data Science & Machine LearningSkills: []

Work on AI OPS solutions with hands-on expertise across AWS Glue and Lambda, Redshift, and Python and SQL. Build and integrate LLM-based capabilities using RAG architecture and agentic AI, including prompt engineering. Optionally leverage Bedrock and Microsoft 365/GitHub Copilot, and contribute with supply chain domain knowledge where applicable.

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FursaFursa
Birlasoft
Birlasoft
2 days ago

Subcontractor - AI OPS (INDIA - BENGALURU - HP, IN)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Work on AI OPS solutions with hands-on expertise across AWS Glue and Lambda, Redshift, and Python and SQL. Build and integrate LLM-based capabilities using RAG architecture and agentic AI, including prompt engineering. Optionally leverage Bedrock and Microsoft 365/GitHub Copilot, and contribute with supply chain domain knowledge where applicable.
Location: Bengaluru
Workplace: Onsite
Employment Type: Contract
Job Function: Data Science & Machine Learning

Key Requirements

  • •Hands-on experience with AWS Glue and Lambda.
  • •Hands-on Redshift DB knowledge.
  • •Proficiency in Python and SQL.
  • •Hands-on experience with LLMs, RAG architecture, and agentic AI.
  • •Prompt engineering experience.
Experience:Supply chain
Tech Stack:AWS GlueLambdaAmazon RedshiftPythonSQLLLMsRAGAgentic AIPrompt EngineeringBedrockMS365GitHub Copilot

Company Brief

Birlasoft
Birlasoft is a global IT services and digital solutions provider delivering consulting, enterprise applications, cloud, and infrastructure services to enterprises across industries, helping accelerate digital transformation and business modernization.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 500M to 1B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Noida, India
WebsiteLinkedIn