Machine Learning Engineer – Medical Imaging AI
Core
Developing production-ready AI models for medical imaging (CT and MRT) to be deployed in clinical radiology workflows via interoperable platforms.
Role type
Machine Learning Engineer (Medical Imaging AI)
Builds
End-to-End ML pipelines, containerized inference services, and open medical inference platforms for clinical use.
Domain
Healthcare / Medical Imaging / AI
Deliverable
production ML models
Required skills
Deep Learning (CNNs, Vision Transformers, Foundation Models), Python (PyTorch/TensorFlow), MLOps (MLflow, W&B, DVC, Kubeflow), Linux/Shell scripting, DICOM/FHIR data processing, Model deployment (Docker/Kubernetes, FastAPI, KServe)
Preferred skills
3D/volumetric image processing, Domain Generalization, Prompt-based segmentation (SAM/MedSAM2), Regulatory compliance (EU AI Act, MDR)
Responsibilities
Develop, train, validate, and deploy Deep Learning models for medical image analysis; Build and maintain reusable ML infrastructure and MLOps workflows; Process and version medical data (DICOM/FHIR) ensuring privacy and compliance; Optimize model performance for accuracy and inference speed; Collaborate on multi-institutional research projects and publications.
Seniority
Junior to Mid-level (open to fresh graduates or those with end-to-end experience)
