Machine Learning Engineer, ML Systems and Infrastructure
AMER - Canada - Ontario - Toronto - University Ave
R
CAD 123K-180K (estimate) Senior-level Full Time
Tasks
- Build and maintain ML pipelines for data preparation model training evaluation deployment and monitoring
- Contribute to system design for scalability maintainability and efficiency
- Develop scalable software and infrastructure for machine learning workflows
- Document technical decisions workflows and operational processes
- Implement distributed data processing and training systems
- Improve automation testing CI CD observability and operational reliability
- Support data ingestion transformation validation and serving for large scale datasets
- Troubleshoot data infrastructure and performance issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Data Lineage | Data Pipelines | Data Processing | Debugging | Distributed Systems | Docker | GCP | Inference | Machine Learning | Model Deployment | Model Evaluation | Model Training | Monitoring | Observability | Python | Testing | Version control
Education
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