Computer Vision Engineer

• Design, train, and evaluate deep learning models for segmentation, landmark detection, registration, and 3D anatomical modeling
• Develop AI supporting image-guided interventions including surgical planning, navigation, and tumor ablation
• Build image processing pipelines for DICOM/NIfTI volumetric data across X-ray, CT, and MRI
• Analyze large clinical imaging datasets and improve data quality
• Design reproducible experiments and evaluate performance with appropriate statistical methods
• Write production-quality, well-tested code and collaborate with engineering on integration
• Support V&V activities for regulated medical device development

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AI/ML Engineer I – Medical Image Computing