Expert MLOps Platform Engineer
Vancouver, British Columbia, CA, V6B 1A9
CAD 108K-214K (estimate) Senior-level Full Time
Tasks
- Build and maintain production ML platforms
- Collaborate with developers and infrastructure teams
- Establish MLOps best practices
- Implement continuous training pipelines for automated retraining and deployment
- Manage model versioning experiment tracking and deployment strategies
- Manage production systems updates and changes
- Monitor troubleshoot and resolve production ML issues
- Support production systems off hours
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Apache Kafka | ArgoCD | Azure Event | Azure Event Hubs | Azure ML | Bash | CI/CD | Cloud Networking | CloudWatch | Databricks | Docker | Event Hubs | GitHub Actions | Grafana | Grafana Loki | High Availability | Ingress controllers | Istio | Istio Policy | Jenkins | Kubernetes | Kyverno | Load balancers | MLflow | MySQL | MySQL High Availability | OPA | OpenTelemetry | PostgreSQL | PostgreSQL High Availability | Prometheus | Python | Service meshes | Terraform | Unity Catalog | VPC
Education
N/A
Roles
Regions
Countries
States
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