Job Description
Appealing Points:
Lead End-to-End MLOps on Vertex AI – Design and implement scalable ML pipelines covering data ingestion, training, deployment, monitoring, and model lifecycle management on Google Cloud.
Build Enterprise-Grade AI Platforms – Work with Vertex AI, BigQuery, Dataflow, GCS, and Pub/Sub while enabling reliable model serving using GKE and automated CI/CD workflows.
Drive Production AI Delivery & Governance – Collaborate with data scientists and engineering teams to operationalize ML models, enforce IAM/security controls, and ensure robust, production-ready AI systems.
Annual salary: 10 million and above
Job Responsibilities:
Design and implement end-to-end MLOps pipelines on Vertex AI, including data ingestion, model training, evaluation, and deployment
Build and manage Vertex AI Pipelines (Kubeflow Pipelines) for automated model training and retraining workflows
Deplo...
Apply for This Position
Ready to take the next step? Click the button below to submit your application.
Submit Application