Machine Learning Engineer, National Job-Skills Data Office (SIPD)
Tasks
- Build data pipelines
- Collaborate with cross-functional teams
- Deploy machine learning models
- Design scalable machine learning systems
- Detect model drift
- Diagnose pipeline issues
- Ensure data governance compliance
- Implement MLOps pipelines
- Integrate models into production
- Maintain data architecture
- Monitor model performance
- Optimize model latency
- Set up CI CD for model updates
- Support incident response reviews
- Track resource utilization
Perks/Benefits
Skills/Tech-stack
APIs | CI/CD | Containerization | Data Governance | Data Pipelines | Data Quality | Data Warehousing | DevOps | Docker | Drift Detection | Kubernetes | MLOps | Model Monitoring | Model retraining | PyTorch | Python | SQL | Scikit-learn | TensorFlow
Education
N/A
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