Zigsaw

Udaipur Group Udaipur Negotiable

Create reproducible ML pipelines
Model deployment, monitoring, and infrastructure upkeep are essential
for the MLOps role.
Create reusable software environments
Register, package, and deploy models from anywhere
Capture the governance data for the end-to-end ML lifecycle
Notify and alert on events in the ML lifecycle
Monitor ML applications for operational and ML-related issues
Automate the end-to-end ML lifecycle with Azure Machine Learning and
Azure Pipelines