Expert développeur DevOps/MLOPS
Downtown Montreal South & West, Canada
CAD 92K-143K (estimate) Senior-level Full Time
Tasks
- Automate machine learning pipeline steps in cloud environments
- Build and manage versioned auditable secure machine learning models
- Collaborate in agile iterations and meet delivery deadlines
- Create technical and operational MLOps documentation
- Design data pipelines and engineering infrastructure for machine learning deployments
- Develop CI CD pipelines for model training and deployment
- Evaluate new technologies to improve machine learning system performance maintainability reliability
- Implement testing unit tests integration tests acceptance tests
- Manage MLOps infrastructure and data pipelines to deploy code to production
- Perform peer code reviews and implement development best practices
- Support end to end application understanding of machine learning algorithms
Perks/Benefits
- Career development
- Environment initiatives
- Family event leave
- Flexible schedule
- Learning program
- Paid sick leave
- Remote work flexibility
- Social initiatives
- Well Being Focused Culture
Skills/Tech-stack
Acceptance Testing | Airflow | Apache Spark | Argo Workflows | Azure | Azure AutoML | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Data Lake | Azure ML | Azure ML SDK | Azure Machine Learning | Azure SQL | Azure SQL Database | CI/CD | Cosmos DB | Data Factory | Data Lake | Deep learning | Docker | Git | Integration Testing | Keras | Kubeflow | Kubernetes | ML SDK | MLOps | MLflow | Machine Learning | Microsoft SQL | Microsoft SQL Server | PyTorch | Python | R | REST API | SQL | SQL Database | SQL Server | Scrum | TensorFlow | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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