Senior Machine Learning Engineer
Tasks
- Design MLOps workflows and tools
- Develop incident handling recovery rollback escalation procedures
- Ensure ML model and pipeline stability reliability performance
- Implement monitoring for data drift model performance inference quality
- Oversee model lifecycle operations
- Support data quality dataset versioning lineage tracking governance
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Machine Learning | CI/CD | Data Drift | Data Drift Detection | Databricks | Drift Detection | Git | Inference Quality Monitoring | Inference quality | MLOps | MLflow | Machine Learning | Model Monitoring | Model Performance Monitoring | Model performance | Performance Monitoring | Power BI | Quality monitoring | SQL | Scripting | Tableau
Education
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