GCPGoogle Cloud PlatformMLOpsVertex AIPythonCI/CDTerraformBigQueryCloud StoragePub/SubCloud MonitoringInfrastructure as CodeML deploymentCloud BuildKubernetesKubeflowMLflow
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
5-10
Location
Pune, India
Full job description
Seeking a Senior GCP MLOps Engineer to automate deployment and lifecycle management of Python-based ML models on Google Cloud Platform. Responsibilities include designing scalable MLOps frameworks, automating deployment and monitoring, implementing CI/CD pipelines, managing cloud infrastructure (Vertex AI, BigQuery, Cloud Storage, Kubernetes), and ensuring production reliability and governance. Requires 5-8 years experience in Cloud Engineering or MLOps, strong GCP skills, Python ML deployment expertise, CI/CD and Infrastructure-as-Code experience with Terraform. Preferred certifications include Google Cloud Professional ML Engineer.
What you'll do
Design, build, and maintain scalable MLOps frameworks on Google Cloud Platform
Automate deployment, testing, monitoring, and lifecycle management of machine learning models
Establish repeatable and standardized ML deployment processes across environments
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