MLOps Engineer
Summary
MLOps Engineer in Bangalore building the secure deployment platform for the PDx lead scoring model, including automated release pipelines, governance, and production support. Core stack: AWS SageMaker and the AWS ML ecosystem, CI/CD for ML, Docker, model registry/versioning, CloudWatch observability, Python, and Git.
MLOPS Engineer
Primary responsibility: Build the secure deployment platform for the PDx Model, with automated release pipelines, governance, and production support required to the PDx Lead Scoring Model
Skills Needed :
- AWS SageMaker and AWS ML ecosystem
- CI/CD for ML
- Automated Build and Deployment for training/inference pipelines
- Docker/containerization
- Model registry/versioning and experiment tracking
- CloudWatch/observability
- Strong Python and Git
- Security, access control, lineage and production support
Desired attributes across both roles :
- 4-7+ years overall engineering experience, with demonstrated hands-on production AI/ML experience
- Proven experience deploying and supporting AI/ML solutions in production
- Strong ownership and troubleshooting capability
- Ability to bridge Data Science and production engineering
- Experience working in enterprise/cloud environments
- Strong communication and stakeholder collaboration
Location : Bangalore