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.
Requirements:
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
