MLOPS ENGINEER (m/f/d)
Tasks
- Automate model deployments
- Build CI/CD pipelines
- Collaborate with cross-functional teams
- Containerize ML services
- Deploy machine learning models to production
- Detect model drift
- Ensure GDPR-compliant data handling
- Implement monitoring for model performance
- Lint notebooks for code quality
- Manage data versioning
- Manage feature store
- Orchestrate ML deployments with Kubernetes
- Orchestrate data and model pipelines
- Perform load testing
- Provide ML security and governance
- Run SonarQube analysis
- Run unit test automation
- Secure model lifecycle operations
- Translate business requirements into data-driven solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | CI/CD | Cloud platform | Data Versioning | Databricks | Databricks Workflows | Docker | Drift Detection | Feature Store | GCP | GDPR | Google Cloud | Google Cloud Platform | Kubernetes | Load Testing | MLflow | Model Drift | Model Drift Detection | Model Monitoring | Notebook linting | SonarQube
Education
N/A
Roles
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