Lead DevOps Engineer (ML Platform)
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO, Canada
CAD 90K-140K (estimate) Senior-level Full Time
Tasks
- Automate ML build and integration
- Automate code analysis
- Build machine learning automation systems
- Design machine learning deployment tools
- Design scalable cloud and on prem hosting systems
- Implement data and ML pipeline standards
- Monitor applications and systems
- Optimize ML deployment and automation
- Support infrastructure design decisions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Azure | Bash | Code review | Control Management | Dagster | DevOps | Distributed Systems | Flyte | GitHub Actions | Hybrid Cloud | JavaScript | Jenkins | Kubeflow | MLOps | Machine Learning | Monitoring | PyTorch | Python | Source Control | Source Control Management | TensorFlow | Testing | Unix
Education
N/A
Roles
DevOps Engineer | Engineer | Lead | Lead DevOps | Lead DevOps Engineer
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