Design, build, and deploy ML models using Python and Azure Databricks. Develop scalable ML pipelines, implement MLOps practices, manage model lifecycle, and ensure performance, monitoring, and CI/CD integration in cloud environments.
Required Candidate profile
Experience in ML engineering/MLOps with Python (OOP), hands-on Databricks and Azure ML. Expertise in model deployment, pipelines, and cloud-based ML systems. Positive problem-solving and collaboration
📌 MLOps Engineer (Azure & Databricks) (Pune)
🏢 Consult Asia
📍 Pune
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