EY EY - GDS Consulting AI DATA Engineering Senior 

India, Karnataka, Bengaluru 

733255316

AI Engineering

You will engineer, ship, and operate AI powered services and APIs in production. The focus is on, robustpractices, and end to endon. 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 (e.g., 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

• B.Tech/M.Tech/MS in CS/EE or equivalent.
• 4+ years in AI Engineering

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.