AI PromptOps Engineer vs AI Radiology AI Specialist

B AI Radiology AI Specialist Only

• Medical image analysis across X-ray, CT, MRI, ultrasound, and mammography modalities
• Deep learning architectures for imaging (CNNs, U-Net, Vision Transformers, nnU-Net)
• DICOM standard knowledge and PACS/RIS/VNA integration
• Dataset curation, annotation management, and label-quality auditing for medical images
• Model training, hyperparameter optimization, and experiment tracking (MLflow, Weights & Biases)
• Regulatory and clinical validation (FDA 510(k), CE marking, MDR, AI/ML SaMD frameworks)
• Statistical evaluation of diagnostic AI: sensitivity, specificity, AUROC, calibration, subgroup fairness
• Clinical workflow integration and PACS-adjacent deployment (DICOMweb, HL7 FHIR, IHE profiles)