ML Ops Engineer

Genpact

10 - 15 years

32 - 37 Lacs

new delhi hyderabad bengaluru

Posted:1 day ago| Platform:

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Skills Required

devops rag llm aws ml

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

Define and evolve the enterprise MLOps reference architecture (build test deploy monitor retrain)
Architect a multi-tenant AI platform with native GenAI support (LLMs, RAG, LangChain/Bedrock/OpenAI integrations)
Own all infrastructure-as-code strategy, with modular, reusable Terraform stacks for multi-cloud/hybrid deployments
Lead CI/CD modernization across teams (GitHub Actions, CodePipeline, Argo Workflows)
Establish centralized model governance, access control, and explainability standards (integrating tools like SHAP, LIME, CloudWatch, SageMaker Model Monitor)
Champion infrastructure observability and compliance logging for regulated environments (banking, insurance, healthcare)
Represent MLOps in enterprise-wide architecture reviews and cloud optimization boards

Preferred candidate profile

8 - 10 years in DevOps, AWS, or ML Infrastructure roles.
5+ years leading MLOps initiatives at scale in production.
Degree/qualification in Computer Science or a related field, or equivalent work experience
Deep AWS expertise (SageMaker, Lambda, VPC, CloudWatch, IAM).
Strong Python and Terraform skills, with proven CI/CD implementation track record.
Experience with deploying GenAI models (OpenAI, Bedrock, Hugging Face) and managing inference at scale.
Engaging in the design, development and maintenance of data pipelines for various AI use cases
Active contribution to key deliverables as part of an agile development team
Experience designing model governance frameworks and CI/CD pipelines.
Familiarity with LangChain, Bedrock, and OpenAI API integrations.
Collaborating with others to source, analyse, test and deploy data processes

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