Machine Learning (ML) Ops Engineer - IS Clinical Research - Full Time 8 Hour Days (Exempt) (Non-Union)
Tasks
- Automate retraining and deployment
- Build AI pipelines for ingestion preprocessing and retrieval
- Configure monitoring and logging for models and systems
- Design build and maintain production machine learning models
- Develop and optimize CI/CD pipelines
- Develop scalable machine learning infrastructure
- Document MLOps processes and configurations
- Ensure security and compliance for machine learning systems
- Implement robust model deployment pipelines
- Implement version control for models and code
- Maintain and improve MLOps pipelines
- Manage end-to-end machine learning lifecycle
- Monitor model performance for drift
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | CI/CD | Cloud platform | Concept drift | Data Drift | Deep learning | Docker | GitHub Actions | Google Cloud | Google Cloud Platform | Kubernetes | Logging | Machine Learning | Microsoft Azure | Monitoring | Python | R | Retraining | SQL | Version control | Web Services
Education
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