MLOps Engineer
Consult Asia · Mumbai · onsite · Posted 26d ago
₹20.0L - ₹25.0L PA5–9 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Design, develop and automate enterprise ML pipelines; deploy, monitor and manage ML models; configure cloud ML environments; implement model governance and lifecycle management; collaborate with Data Science and engineering teams.
Required Candidate profile
3–5+ years in MLOps/ML Engineering with strong Python, TensorFlow/PyTorch, ML pipeline automation, model deployment/monitoring and Azure/AWS/GCP cloud experience.Sourced from naukri
Skills
Model DeploymentModel Monitoringmachine learning operationsMLOpsgoogle cloud platformamazon web servicesMl PipelinesPytorchTensorflowModel lifecycle managementModel governancemachine learning engineeringModel performancemodel integrationPythonMicrosoft AzureCloud Architecturecloud ML services