Machine Learning Engineer
Toronto, Ontario, Canada
R
CAD 135K-195K (estimate) Senior-level Full Time
Tasks
- Build data labeling training evaluation pipelines
- Create evaluation metrics for product outcomes
- Diagnose resolve issues in deployed models
- Monitor production performance and model drift
- Optimize models for edge deployment
- Participate in design reviews code reviews technical planning
- Prototype new product capabilities
- Recommend develop evaluate deploy ML models
- Write maintainable, well-tested code
Perks/Benefits
Skills/Tech-stack
Automated testing | C++ | Computer Vision | Continuous integration | Convolutional Neural Networks | Dataset versioning | Docker | Edge Computing | Experiment tracking | Geospatial | Image classification | Knowledge Distillation | ML observability | Model Compression | Model Monitoring | Neural Networks | ONNX Runtime | Object Detection | Pruning | PyTorch | Python | Quantization | Scikit-learn | Sensor fusion | TensorFlow | TensorRT | Version control
Education
N/A
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