Senior Staff Machine Learning Platform Engineer
Kitchener-Waterloo, ON; Toronto, ON
R
CAD 248K-341K Senior-level Full Time
Tasks
- Adopt Unity Catalog and multi workspace strategies
- Architect scalable ML workflows
- Build training and inference pipelines
- Define ML platform architecture
- Establish code quality standards
- Evaluate and integrate Databricks features
- Implement observability for ML systems
- Integrate LLM workflows into enterprise platforms
- Lead MLOps CI CD practices
- Lead experimentation and model lifecycle management
- Manage feature engineering and feature governance
- Mentor ML engineers
- Optimize ML platform performance reliability and cost
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | CI/CD | Cloud Architecture | CockroachDB | Databricks | Datadog | Delta Lake | Distributed Systems | Docker | Experimentation | Feature management | Fivetran | GitHub Actions | Iceberg | Kafka | Kotlin | Kubernetes | LLM Workflow Integration | LLM workflow | Lifecycle Management | MLOps | MLflow | Machine Learning | Model Governance | Model Lifecycle | Model Lifecycle Management | MySQL | Observability | PySpark | PyTorch | Python | S3 | SQL | SageMaker | Snowflake | Spark | Terraform | Unity Catalog | Workflow Integration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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