AI/ML Engineer

About this role

Our AI team sits at the intersection of machine learning research and real-world clinical impact. You will work alongside physicians, data scientists, and engineers to build models that directly improve patient outcomes. We have rich proprietary datasets and a commitment to rigorous evaluation.

Qualifications

• 5+ years of experience in machine learning engineering
• Deep expertise in PyTorch or TensorFlow
• Experience with medical imaging (DICOM, segmentation, classification)
• Strong software engineering skills (Python, MLOps, CI/CD for ML)
• Publications or contributions to ML research preferred

Responsibilities

• Design, train, and evaluate deep learning models for medical imaging tasks
• Build robust ML pipelines from data ingestion to model deployment
• Collaborate with clinical advisors to define model requirements and evaluation criteria
• Monitor deployed models and implement continuous improvement loops
• Author technical reports and internal documentation