The Senior AI Engineer role is for an experienced professional with expertise in Vertex AI MLOps, Traditional ML and supervised learning models
Self-directed, disciplined, and self-aware to balance project development and support activities with a commitment to excellence in quality and communication
Builds effective relationships and communicates with business partners and vendors to collect and clarify business requirements

Requirements

Senior candidate with 8 plus years relevant experience in Cloud Platform & AI Services (Google Cloud/Vertex AI)
Vertex AI Capabilities: Using built-in features for predictive and generative AI, as well as the Model Garden to discover and customize models
Vertex AI Pipelines: Building and executing steps in Vertex Pipelines, including understanding how to use Kubeflow to build pipeline templates for interoperability
Core GCP Services: Configuring and enabling APIs for BigQuery, Google Cloud Storage, and managed Vertex AI notebooks
Good experience in MLOps & Automation - A major focus of the engagement is establishing Machine Learning Operations (MLOps) maturity
CI/CD Integration: Implementing Continuous Integration/Continuous Delivery workflows using Cloud Build or GitHub to deploy pipeline components
Model Lifecycle Management: Managing models through the Vertex AI Model Registry, using Artifact Registry for Docker images, and setting up Vertex AI Experiments for tracking pipeline runs
Infrastructure as Code (IaC): Developing automation scripts (likely Terraform, though "IaC" is the term used) to manage the lifecycle of AI/ML sandbox projects and environments

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Vertex AIMLOpssupervised learningpredictive AIgenerative AIKubeflowBigQueryGoogle Cloud StorageCI/CDInfrastructure as Code

Soft Skills

self-directeddisciplinedself-awarecommitment to excellencecommunicationrelationship building