Senior Principal, Algorithms Engineer - Medical Imaging AI
Tasks
- Build data pipelines for medical imaging
- Build production DICOM data pipelines
- Collaborate with QA engineers on testability
- Contribute to ML system architecture standards
- Design and implement end-to-end ML systems
- Design model versioning and deployment strategies
- Develop and optimize deep learning segmentation models
- Develop model training and inference services
- Enable automated testing and validation
- Implement preprocessing and augmentation workflows
- Integrate ML models into medical applications
- Optimize inference performance
- Stay current with modern ML architectures and training techniques
- Support CI CD pipelines for ML
- Support MLOps in AWS environments
- Validate model performance accuracy and reliability
Perks/Benefits
- N/A
Skills/Tech-stack
3D CNN | 3D Slicer | 3D UNet | AWS | Automated testing | CI/CD | Computer Vision | DICOM | Deep learning | Docker | GPU Computing | Git | Image Processing | Image Segmentation | Inference Optimization | MLOps | MONAI | Machine Learning | Model versioning | NIfTI | NnU-Net | Node.js | PostgreSQL | PyTorch | Python | React | SageMaker | U-Net | YOLO
Education
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