Machine Learning Platform Engineer
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO, Canada
CAD 100K-155K (estimate) Senior-level Full Time Found 11d ago
Tasks
- Building scalable on-premise ML systems
- Deploying ML platform on OpenShift/Kubernetes
- Designing data and ML pipeline standards
- Implementing observability tools (Prometheus, Grafana)
- Managing large language models on GPU infrastructure
- Monitoring GPU utilization and model performance
- Supporting infrastructure design and documentation
Perks/Benefits
- Bonuses
- Career development support
- Competitive pay
- Flexible benefits
- Stock options
- Team collaboration
Skills/Tech-stack
Alerting | Bash | CI/CD | DevOps | Docker | GitHub Actions | Helm | Hybrid Infrastructure | Infrastructure automation | Kubernetes | LLM serving | Monitoring | OpenShift | Operators | Python | RBAC | Registry Mirroring | Rust | Software testing | TensorRT-LLM | Troubleshooting | VLLM
Education
Language: en |
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