Offer summary

Qualifications:

Minimum 4 years of relevant experience as an MLOps engineer., Hands-on experience with AI/ML CI/CD pipelines using AWS Sagemaker, Kubernetes, Docker., Strong knowledge of data structures, data modeling, and database management., Experience in creating Infrastructure as a Service and enterprise cloud setup..

Key responsibilities:

Manage reproducible AI/ML CI/CD pipelines using cloud technologies.

Handle model onboarding, automated training, versioning, and governance.

Develop and maintain infrastructure solutions for AI/ML workflows.

Collaborate on enterprise cloud setup and optimize MLOps processes.

Job description

Location: Bangalore

Mandatory :• Minimum of 4 to 16 years of relevant work experience as MLOps engineer
• Strong hands on Experience in managing reproducible AIML CICD pipeline using AWS Sagemaker, Cloud formation, Kubernetes, docker
• Wellversed in data structures, data modelling, and database management systems, model onboarding, automated model training, model versioning and governance
• Experience in creating Infra as Service
• Experience in enterprise cloud setup

Good To Have :• Certified AWS SageMaker
• AWS solution architect
• Knowledge of Medical domain ( Dicom,HL7, FHIR)