Senior MLOps Engineer - Bangalore

This role is responsible for customizing and validating the various components.

Component configuration : Configures and customizes core Kubeflow components for the specific needs of the projects

Validates Installation : Validation installation with sample ML Models, MLOps implementation (NOT Model building)

Documentation : Create technical documentation for the installation and ongoing Operations

Must have worked on min 3-4 MLOps Projects including the recent one

Must Have Skills :

MLOps implementation ( NOT Model building )

Core Kubeflow components.

Deployment exp using Kubeflow Pipelines.

Model Registry.

Must have hands-on exp in solving scalability issues in MLOps pipeline.

KServe for model serving