Senior Staff Machine Learning Platform Engineer
Kitchener-Waterloo, ON; Toronto, ON
R
CAD 248K-341K Senior-level Full Time
Tasks
- Adopt Unity Catalog and data ML mesh patterns
- Architect scalable ML workflows
- Build model governance and observability
- Define ML platform architecture
- Drive training and inference systems
- Establish code quality standards
- Evaluate and integrate Databricks features
- Implement CI/CD for MLOps
- Lead experimentation and model lifecycle management
- Manage feature engineering and feature management
- Mentor ML engineers
- Optimize performance, reliability, and cost
- Serve as ML technical advisor
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Cloud Architecture | Databricks | Datadog | Delta Lake | Distributed Systems | Docker | Fivetran | GitHub Actions | Iceberg | Kafka | Kotlin | Kubernetes | LLM | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | PySpark | PyTorch | Python | S3 | SQL | SageMaker | Snowflake | Spark | Terraform | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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