AI/ML Engineer - Medical Imaging

About the job

Senior Engineer, (AI/ML Engineer - Medical Imaging): The AI/ML Engineer will lead the design and implementation of advanced imaging algorithms for a next-generation healthcare platform focused on 3D reconstruction from medical modalities such as TEE and CT. This role involves applying state-of-the-art machine learning, deep learning, and computer vision techniques to enhance medical image understanding, segmentation, and reconstruction. Key Responsibilities: • Design, develop, and optimize AI/ML algorithms for medical image analysis, segmentation, and 3D reconstruction from TEE and CT images. • Research and implement advanced deep learning architectures including CNNs, GANs, VAEs, and Diffusion Models for medical imaging tasks. • Develop robust 3D reconstruction pipelines from 2D image data and multi-view geometries, tailored to medical imaging workflows. • Perform multimodal image registration (CT-CT, CT-MRI, Fluro-Endo, 2D-3D) and develop tools for alignment, calibration, and fusion. • Enhance and denoise medical images using advanced computer vision and AI-based enhancement techniques. • Work extensively with DICOM data, integrating with PACS systems for data ingestion and retrieval. • Collaborate with teams for dataset curation, labeling, and ground truth generation. • Develop scalable training and inference pipelines on cloud platforms (AWS preferred; Azure/GCP acceptable). • Ensure reproducibility and traceability in experiments using MLOps practices (Docker, MLflow, or similar). • Collaborate with software engineers to integrate AI components into production-grade imaging applications. • Document research findings, maintain version-controlled repositories, and contribute to technical publications or IP filings. • Stay up-to-date with emerging trends in AI, computer vision, and medical imaging technologies.

Requirements

• AI/ML
• Computer Vision
• Deep Learning
• 3D Reconstruction
• MLOps

Qualifications

• Bachelor’s, Master’s, or Ph.D. in Computer Science
• Data Science
• Biomedical Engineering

Preferred Technologies

• AI/ML
• Computer Vision
• Deep Learning
• 3D Reconstruction
• MLOps