AI/ML Engineer - Medical Imaging

About the job

Hiring Manager: Mukesh Vijayvargia Recruiter: Srimayee Banerjee 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. The candidate will collaborate with cross-functional teams including frontend, backend, QA, DevOps, and clinicians to build AI-driven imaging solutions. 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. Required Qualification: • Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Biomedical Engineering, or related field with focus on AI, ML, or Computer Vision. • 8+ years of hands-on experience in AI/ML model development with strong exposure to computer vision and imaging applications. • Expert-level proficiency in Python and deep learning frameworks such as PyTorch and TensorFlow. • Experience in 2D and 3D medical imaging (CT, MRI, Ultrasound, TEE) and DICOM data handling. • Strong understanding of 3D geometry, camera calibration, stereo vision, and multi-view reconstruction. • Experience in segmentation, registration, and object tracking within medical image contexts. • Proficiency with classical computer vision techniques (OpenCV, PCL, feature detection, structure-from-motion, SLAM, etc.). • Knowledge of generative and reconstruction models (GANs, VAEs, Diffusion Models) and fine-tuning methods for domain-specific applications. • Experience with data preprocessing, augmentation, and pipeline automation for large-scale medical datasets. • Familiarity with MLOps, containerization (Docker), and deployment workflows for cloud and edge environments. • Experience using cloud platforms (AWS, Azure, or GCP) for model training and large dataset management. • Strong software engineering fundamentals — version control (Git), testing, CI/CD, and documentation practices. • Excellent analytical, communication, and collaboration skills with a strong commitment to quality and compliance in healthcare development.

Requirements

• AI/ML algorithms
• 3D reconstruction
• Python
• DICOM
• MLOps
• deep learning frameworks

Qualifications

• Bachelor’s, Master’s, or Ph.D. in Computer Science
• 8+ years of hands-on experience in AI/ML model development
• Expert-level proficiency in Python
• Strong understanding of 3D geometry
• Experience with data preprocessing

Preferred Technologies

• AI/ML algorithms
• 3D reconstruction
• Python
• DICOM
• MLOps
• deep learning frameworks

Benefits

• Variable compensation
• Annual bonus target
• Long-term incentives

About the company

Boston Scientific is dedicated to transforming lives through innovative medical solutions that improve the health of patients around the world.