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Data Scientist - B3

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  • Posted 23 hours ago
  • Be among the first 10 applicants
Early Applicant

Job Description

  • Build productiongrade GenAI systems with real business impac
  • Work on global-scale data platforms at the edge of AI innovation

Job Description

  • Design and build agentic workflows using modern GenAI frameworks
  • Develop LLM-based applications including RAG and vector search
  • Productionise AI POCs into scalable, monitored systems
  • Build distributed data pipelines using Python and PySpark
  • Contribute to MLOps/LLMOps, CI/CD, governance, and guardrails
  • Collaborate with product, analytics, and engineering stakeholders

The Successful Applicant

  • 5-8 years of experience in AI/ML, data, or software engineering
  • Strong hands-on expertise in Python, PySpark, and API development
  • Experience with LLM frameworks and GenAI architectures
  • Solid understanding of prompting, embeddings, RAG, and evaluation
  • Cloud platform experience (AWS, Azure, or GCP)
  • Strong system design and business problemsolving skills

What's on Offer

  • Opportunity to work on enterprise-scale GenAI platforms
  • High-impact role aligned to a long-term AI roadmap
  • Exposure to global stakeholders and complex data ecosystems
  • Hybrid working model with strong engineering culture
  • Location - Chennai

More Info

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About Company

Michael Page has five decades of expertise in professional services recruitment. We were established in London in 1976, and over this period we've grown organically to become one of the best-known and most respected consultancies, with an office network spanning six continents.
While size has its advantages, it doesn't define us - the nature of our organic growth means that each new office is integrated into the region that it serves. It also means that as an employer looking to hire, or as a candidate aiming to grow your career you have the best of both worlds&#x3B; a team that understands the market and geography you operate in, plus the resources and expertise of an international network at your disposal.

Job ID: 146604891