Job Location - India- Offshore_Noida,Chennai,Hyderabad .

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Looking for Immediate joiner or max 2 Weeks' notice period

Job Descriptions -

Practical experience implementing MLOps pipelines for end-to-end machine learning lifecycle management - including model training, versioning, deployment, and monitoring .
Strong understanding of Machine Learning concepts such as data preprocessing, model evaluation, and optimization.
Experience with Azure Machine Learning , MLflow , or Databricks for managing ML experiments and model registries.
Ability to integrate ML workflows into CI/CD pipelines for automated deployment and governance.
Experience and deep understanding working within a DevOps environment.
Solid technical background/understanding in DevOps, Software Engineering or Infrastructure Engineering so that you're able to understand high level technical briefs, talks and ideas.
Experience with various monitoring solutions namely Dynatrace, App Dynamics, Grafana etc.
Experience of the full software delivery lifecycle and working in complex enterprise environments.
Experience with Windows systems engineering and Linux as well.
Strong experience in multiple public clouds.
Experienced in CI/CD Pipelines with GitHub Actions

MLOPS Engineer