Vertex AI Engineer & Cloud Delivery Lead
Tasks
- Build and manage Vertex AI Pipelines
- Configure IAM policies for Vertex AI workloads
- Containerize experiments and promote models through environments
- Deploy and manage models on Vertex AI
- Deploy model serving workloads on GKE
- Design and implement end-to-end MLOps pipelines
- Develop GCP integrations for data ingestion and processing
- Establish model monitoring for data drift and skew
- Implement feature engineering workflows
- Lead cloud delivery planning and release management
- Provision ML infrastructure with Terraform
Perks/Benefits
- Elder care
- Flexible work
- Health checks
- Insurance with top-ups
- New parent support
- Partner coverage
- Telemedicine
Skills/Tech-stack
AI Pipelines | AI endpoints | Batch Prediction | BigQuery | Cloud Storage | Data Drift | Data Skew | Dataflow | Docker | Feature Engineering | Feature Store | GCP | GKE | IAM | Kubeflow Pipelines | MLOps | Machine Learning | Model Monitoring | Model Registry | Pub/Sub | PyTorch | Python | Scikit-learn | Service Account | Service Controls | TensorFlow | Terraform | VPC | VPC Service Controls | Vertex AI | Vertex AI Endpoints | Vertex AI Feature Store | Vertex AI pipelines
Education
N/A
Roles
AI Engineer | Cloud Delivery Lead | Cloud) | Delivery Lead | Engineer | Lead | Vertex AI Engineer
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