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...