Senior Machine Learning Engineer #AIDA
SGD 161K-195K (estimate) Senior-level Full Time
Tasks
- Develop incident handling recovery rollback and escalation
- Ensure model stability reliability and performance
- Handle model lifecycle versioning lineage and governance
- Implement monitoring for data drift and model performance
- Manage MLOps workflows
- Manage dataset versioning data lineage and quality
- Provide production support for ML models
- Set up dashboards and alerts for model health
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Machine Learning | CI/CD | Concept drift | Concept drift detection | Data Drift | Data Drift Detection | Data Lineage | Databricks | Databricks SQL | Drift Detection | Git | Lifecycle Management | MLOps | MLflow | Machine Learning | Model Governance | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Model Registry | Model versioning | Power BI | Python | Reproducibility | SQL | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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