Machine Learning Engineer (Canada)
Toronto, Ontario, Canada
CAD 150K-180K (estimate) Senior-level Full Time
Tasks
- Build reusable production data pipelines
- Create scalable machine learning systems
- Deploy data science solutions
- Deploy machine learning models
- Design and evaluate machine learning experiments
- Execute machine learning model validation
- Improve production machine learning systems
- Manage infrastructure for ML production
- Monitor machine learning solutions
- Package code as containers
- Recommend retraining and revalidation
- Run machine learning tests and experiments
- Troubleshoot production model issues
- Write production-quality code and libraries
Perks/Benefits
Skills/Tech-stack
AI Platform | AWS SageMaker | Apache Airflow | Apache Hadoop | Apache Spark | Azure Machine Learning | Cloud Computing | Continuous integration | Docker | Google AI | Google AI Platform | Keras | Kubernetes | MLflow | Machine Learning | Nose | Pytest | Python | Relational databases | SQL | Scikit-learn | Statistical Analysis | TensorFlow | Test-Driven | Test-Driven Development
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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