Senior AI Infrastructure Engineer

ConcentrixBengaluru, Republic Of India, IN

3 days ago

Job description

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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Ai Infrastructure Engineer • Bengaluru, Republic Of India, IN

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