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