Machine Learning Platform Engineer
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO, Canada
CAD 103K-155K (estimate) Senior-level Full Time
Tasks
- Build scalable resilient on premise systems for machine learning hosting
- Configure RAG pipelines for model retrieval and generation
- Deploy and operate machine learning platforms on OpenShift and Kubernetes
- Design machine learning and data pipeline standards
- Implement observability with Prometheus Grafana and structured logging
- Manage large language model deployments on GPU infrastructure
- Monitor GPU utilization and model performance metrics
- Provide infrastructure guidance and documentation for platform users
Perks/Benefits
- N/A
Skills/Tech-stack
Bash | DevOps | Docker | GPU Monitoring | GitHub Actions | Grafana | Helm | Kubernetes | MLOps | Machine Learning | NVIDIA A100 | NVIDIA CUDA | NVIDIA H100 | Nvidia Nim | OpenShift | Prometheus | Pushgateway | Python | RAG | RBAC | Rust | Structured Logging | TensorRT-LLM | VLLM
Education
N/A
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