MLOps Engineer (Azure & Databricks)
Consult Asia · Pune · onsite · Posted 26d ago
₹15.0L - ₹30.0L PA7–12 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
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. Good problem-solving and collaborationSourced from naukri
Skills
DockerMLOps / Model DeploymentKubernetesApache SparkModel DeploymentModel MonitoringmlflowMLOpsfeature engineeringazure mlMl PipelinesExperiment trackingmachine learning engineeringMLEDatabricksData EngineeringPythonCI/CD for MLREST APICi/Cd