Machine Learning Engineer
Tasks
- Collaborate to productionize and scale machine learning models
- Deploy machine learning models using CI CD and containers
- Design training deployment and inference pipelines
- Detect and manage model drift and data drift
- Document models and decisions
- Embed machine learning into customer facing products
- Ensure compliance with privacy security and regulatory requirements
- Implement model versioning monitoring and automated retraining
- Promote explainability auditability and ethical AI practices
Perks/Benefits
- Collaboration with cross-functional teams
- Global organization focus on innovation and safety
- Impactful real world AI projects
Skills/Tech-stack
Amazon SageMaker | Auditability | Automated retraining | CI/CD | Cloud Platforms | Containerization | Data Drift | Data Drift Detection | Drift Detection | Explainable AI | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Model versioning | Python
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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