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Urgent! EY - GDS Consulting - AI and DATA - MlOps/AI Engineering - Senior Job Opening In Bengaluru – Now Hiring EY

EY GDS Consulting AI and DATA  MlOps/AI Engineering Senior



Job description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you.

And we’re counting on your unique voice and perspective to help EY become even better, too.

Join us and build an exceptional experience for yourself, and a better working world for all.

AI Engineering


Role summary


You will engineer, ship, and operate AI powered services and APIs in production.

The focus is on Python, API development, robust deployment practices, and end to end MLOps/DevOps on AWS/Azure.

You’ll partner with data, ML, and platform teams to move models and AI capabilities from notebooks to reliable, secure, scalable services.

Key responsibilities

  • Design, build, and operate production grade AI services/APIs, owning reliability, scalability, and performance SLOs.

  • Implement MLOps best practices (experiment tracking, model packaging, CI/CD for models, automated testing, feature and model registries, telemetry) to reduce time to production.

  • Drive DevOps automation (infrastructure as code, containerization, orchestration) and secure delivery with least privilege, secrets management, and policy-as-code.

  • Lead deployment of AI components to AWS/Azure (containers, serverless, managed ML platforms) with strong observability and rollback plans.

  • Collaborate cross functionally to translate product and analytics requirements into well designed APIs, contracts, and SLAs.
  • Must have skills

  • MLOps (, MLflow/Kubeflow/SageMaker/Azure ML), CI/CD for ML, model registry, monitoring

  • DevOps (Docker, Kubernetes, IaC—Terraform/Bicep, GitHub/GitLab Actions/Azure DevOps)

  • Python (production code quality, testing, packaging)

  • Deployment to AWS/Azure (EKS/AKS, ECS/Fargate, Lambda/Functions, API Gateway/App Gateway)

  • API development (FastAPI/Flask, OpenAPI/Swagger, authN/Z, rate limiting, versioning)
  • Good to have

  • GenAI/Agentic concepts, vector databases, prompt engineering fundamentals
  • Qualifications & experience

  • in CS/EE or equivalent.

  • 4+ years in AI Engineering
  • EY | Building a better working world 


    Required Skill Profession

    Computer Occupations



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