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Principal Ai Engineer (genai Platforms & Mlops) @ Kantar

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Kantar  Principal Ai Engineer (genai Platforms & Mlops)

Job Description

What youll be doing

  • Designing and building GenAI platform components that help teams create and deploy AI solutions safely and efficiently
  • Implementing LLMbased systems, including RAG, embeddings, semantic search, and agentbased workflows
  • Shaping how GenAI systems handle prompting, grounding, evaluation, reliability, and cost control
  • Building and evolving MLOps pipelines, from experimentation through deployment, monitoring, and iteration
  • Engineering cloudnative, APIdriven services that integrate AI into production platforms
  • Supporting and guiding other engineers through design reviews, coaching, and shared standards

The skills experience were looking for

We dont expect you to tick every box if most of this sounds like you, wed love to hear from you.

  • Handson experience building production AI or ML systems, with recent focus on Generative AI / LLMs
  • A strong understanding of RAG architectures, embeddings, vector databases, and semantic retrieval
  • Experience with MLOps, including deployment, monitoring, evaluation, and CI/CD for AI systems
  • A solid softwareengineering background, building scalable backend services
  • Experience working in cloud environments (Azure preferred, but AWS or GCP also welcome)

Job Classification

Industry: Film / Music / Entertainment
Functional Area / Department: Engineering - Software & QA
Role Category: DevOps
Role: DevOps Manager
Employement Type: Full time

Contact Details:

Company: Kantar
Location(s): Hyderabad

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Keyskills:   ai engineer mlops generative ai ai solutions ai vector databases cloud gcp design coaching aws azure ml

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Kantar