Description

You will design and manage scalable infrastructure on GCP for data engineering and AI workloads.

Responsibilities

• Deploy and manage models using Vertex AI, including batch and online serving.
• Build and maintain infrastructure for data engineering pipelines on GCP.
• Automate model workflows and configurations using Vertex Pipelines.
• Implement model management, monitoring, testing, and governance protocols.
• Collaborate with data engineering and software development teams to ensure efficient deployment of analytics systems.

Required Skills

• 10+ years of professional experience in technical architecture or engineering.
• Deep expertise in GCP Vertex AI for model deployment and management.
• Experience with Vertex Pipelines for workflow automation.
• Hands-on experience with BigQuery and other GCP data services.
• Proven ability to design and implement scalable data engineering pipelines.
• Experience with both batch and online model serving.
• Strong understanding of infrastructure automation for data and analytics tools.
• Ability to work within PST time zones.

Preferred Skills

• Experience integrating data engineering pipelines with software development lifecycles.

Key Skills

Education

ANY GRADUATE