Associate Data Scientist - AWS AI

Birlasoft
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: []

Work on AWS-based AI initiatives by applying Python and SQL to data tasks and implementing production-ready solutions. You will use AWS Glue and Lambda, demonstrate hands-on Redshift experience, and build LLM-driven systems using RAG architecture and agentic AI. The role also emphasizes prompt engineering, with Bedrock and tools like MS365/GitHub Copilot as additional strengths, plus optional supply chain domain knowledge.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Birlasoft
Birlasoft
1 day ago

Associate Data Scientist - AWS AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Work on AWS-based AI initiatives by applying Python and SQL to data tasks and implementing production-ready solutions. You will use AWS Glue and Lambda, demonstrate hands-on Redshift experience, and build LLM-driven systems using RAG architecture and agentic AI. The role also emphasizes prompt engineering, with Bedrock and tools like MS365/GitHub Copilot as additional strengths, plus optional supply chain domain knowledge.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Requirements

  • •Hands-on experience with AWS Glue and Lambda
  • •Strong Redshift database knowledge
  • •Proficiency with Python and SQL
  • •Hands-on experience with LLMs, including RAG architecture and agentic AI
  • •Prompt engineering experience
Tech Stack:AWS GlueAWS LambdaAmazon 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