Expert développeur DevOps/MLOPS
Tasks
- Apply software engineering rigor and best practices to machine learning including CI CD
- Automate AI and ML pipeline steps in cloud environments
- Build and maintain ML deployment pipelines
- Collaborate with stakeholders in iterative delivery with task tracking
- Contribute to AI solution architecture evolution
- Deliver end to end understanding of ML applications
- Design data pipelines and engineering infrastructure for machine learning deployment
- Develop and support ML models with auditability versioning and data security
- Evaluate new technologies for ML performance maintainability and reliability
- Implement development best practices
- Improve existing MLOps infrastructure
- Manage infrastructure and data pipelines to deploy code to production
- Perform peer code reviews and contribute to testing
- Produce MLOps technical and operational documentation
Perks/Benefits
- Career progression
- Flexible work hours
- Paid sick leave
- Provided equipment
- Remote work flexibility
- Training program
Skills/Tech-stack
APIs | Acceptance Testing | Agile | Airflow | Argo | Azure AutoML | Azure Data | Azure Data Factory | Azure ML | Azure ML SDK | CI/CD | Data Factory | Deep learning | Docker | Git | Integration Testing | JavaScript | Keras | Kubeflow | Kubernetes | ML SDK | MLOps | MLflow | PyTorch | Python | R | SQL | Scrum | Spark | TensorFlow | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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