Vertex AI Engineer & Cloud Delivery Lead

Vertex AI Engineer & Cloud Delivery Lead

Role in plain language

MLOps and AI platform engineer who takes models from experimentation to production using Vertex AI pipelines, registry, endpoints, feature engineering, monitoring, GCP data services, Terraform, containers and delivery governance.

What to validate in screening

• Has built and operated Vertex AI pipelines, not only trained notebooks or consumed APIs.
• Can explain model registry, endpoints, batch prediction, monitoring, drift and environment promotion.
• Has integrated Vertex AI with BigQuery, Dataflow, GCS or Pub/Sub.
• Can provision ML infrastructure using Terraform and containerise/model-serve through Docker or GKE.

Primary search keywords

Vertex AI | MLOps | Machine Learning Engineer | ML Platform Engineer | AI Engineer | Vertex AI Pipelines | Kubeflow Pipelines | Model Registry | Model Deployment | Feature Store

Secondary / validation keywords

Python | TensorFlow | PyTorch | Scikit-learn | BigQuery | Dataflow | Cloud Storage | Pub/Sub | Model Monitoring | Docker | GKE | Terraform | LLM | Model Garden