Senior Engineer, (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. Preferred Qualification: • Experience in endoscopy imaging, image mosaicing, and fusion with ultrasound imaging. • Experience in 3D visualization, rendering, and medical image annotation tools. • Knowledge of reinforcement learning or self-supervised learning techniques for imaging applications. • Background in signal processing or physics-based imaging reconstruction methods. • Exposure to regulatory and quality systems in medical device software development (e.g., ISO 13485, IEC 62304).

Requirements

• AI/ML Algorithms
• Deep Learning
• Medical Imaging
• Computer Vision
• Python
• PyTorch
• TensorFlow

Qualifications

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

Preferred Technologies

• AI/ML Algorithms
• Deep Learning
• Medical Imaging
• Computer Vision
• Python
• PyTorch
• TensorFlow

About the company

Boston Scientific is a medical device manufacturer that develops and produces a wide range of products used in medical procedures, with commercial representation in 140 countries.