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
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Senior Machine Learning Engineer • Bengaluru, Republic Of India, IN
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