
EY - GDS Consulting - AI and DATA - AI Engineering - Senior
- Bangalore, Karnataka
- Permanent
- Full-time
- 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.
- 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)
- GenAI/Agentic concepts, vector databases, prompt engineering fundamentals
- B.Tech/M.Tech/MS in CS/EE or equivalent.
- 4+ years in AI Engineering