Senior ML Engineer
Ontario, Ontario, Canada
A CAD 112K-160K (estimate) Senior-level Full Time
Tasks
- Apply champion challenger model framework
- Build MLflow experiments and model registry
- Collaborate on data quality validation and schema contracts
- Design and consume batch and low latency feature stores
- Develop batch and near real time inference workflows
- Enable controlled model rollouts
- Generate explainability artifacts
- Implement CI/CD pipelines for ML
- Implement deterministic preprocessing for train serve parity
- Implement feature drift detection
- Implement model performance monitoring
- Productionize ML models into governed pipelines
- Support replay and recovery with idempotent patterns
- Validate data freshness and SLA
- Version feature and model deployments
Perks/Benefits
- N/A
Skills/Tech-stack
AWS S3 | Batch inference | CI/CD | Data Quality | Data Quality Validation | Drift Detection | Feature Engineering | Feature Stores | IAM | Large-scale | Large-scale Datasets | MLflow | Model versioning | PySpark | Python | Quality validation | Real Time | Real-time Scoring | Schema Contracts | Streaming Data
Education
N/A
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