Senior ML Engineer, ML Platform - GFT
745 THURLOW ST:VANCOUVER, Canada
CAD 90K-140K (estimate) Senior-level Full Time
Tasks
- Automate model lifecycle management
- Build CI/CD deployment pipelines
- Design end-to-end MLOps pipelines
- Develop Python PySpark training scripts
- Implement model registry
- Implement observability and auditability
- Integrate with DevOps and data engineering for secure governance
- Manage model artifacts dependencies environments
- Orchestrate data and training workflows
- Train test register deploy machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CodePipeline | AWS IAM | AWS Lambda | AWS Step Functions | Airflow | Amazon CloudWatch | Amazon ECS | Amazon EKS | Amazon EMR | Amazon S3 | Amazon SageMaker | CI/CD | Dask | Docker | Git | GitHub Actions | Infrastructure as Code | Jenkins | Linux | MLOps | Machine Learning | Prefect | PySpark | Python | Ray | Shell Scripting | Step Functions | “as-code”
Education
Regions
Countries
States
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