Expert développeur DevOps/MLOPS
Tasks
- Automate machine learning pipeline steps
- Build machine learning deployment infrastructure
- Create AI and ML CI CD pipelines
- Create MLOps technical documentation
- Deploy supervised unsupervised deep learning models
- Design data pipelines
- Develop end-to-end ML applications
- Evaluate new technologies for ML systems
- Implement software development best practices
- Maintain and improve ML infrastructure
- Manage data pipelines and production releases
- Manage model versioning and auditability
- Perform peer code reviews
- Run unit integration and acceptance tests
- Secure data for machine learning
Perks/Benefits
- Career development
- Flexible schedule tools
- Flexible working hours
- Learning program
- Sick leave and family event leave
- Social and environmental initiatives
- Telework
Skills/Tech-stack
Acceptance Testing | Agile | Airflow | Argo | Azure API | Azure AutoML | Azure Data | Azure Data Factory | Azure Data Lake | Azure ML | Azure ML SDK | Azure SQL | Azure SQL Database | CI/CD | Data Factory | Data Lake | Docker | Git | Integration Testing | Keras | Kubeflow | Kubernetes | ML SDK | MLflow | Powershell | PyTorch | Python | R | SQL Database | SQL Server | Scala | Scrum | Spark | TSQL | TensorFlow | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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