MLOps ENGINEER (m/f/d)
Tasks
- Automate model deployments
- Collaborate with cross-functional teams
- Containerize services with Docker
- Deploy machine learning models in production
- Design CI/CD pipelines
- Ensure GDPR-compliant data handling
- Implement monitoring and model drift detection
- Implement notebook linting
- Manage data versioning
- Manage feature store
- Manage job orchestration with Apache Airflow
- Manage pipelines with Databricks Workflows
- Orchestrate deployments with Kubernetes
- Perform code quality analysis
- Run load testing
- Secure model lifecycle operations
- Set up unit test automation
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | CI/CD | Cloud platform | Data Versioning | Databricks | Databricks Workflows | Docker | Drift Detection | Feature Store | GDPR | Google Cloud | Google Cloud Platform | Kubernetes | Load Testing | MLflow | Model Deployment | Model Drift | Model Drift Detection | Monitoring | Secure model deployment | SonarQube
Education
N/A
Roles
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