Senior Engineer, (ai/ml Engineer - Medical Imaging) (Pune)

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 Robust 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 Requisition ID 620747 The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific BSC - see will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role Compensation will be commensurate with demonstrable level of experience and training pertinent education including licensure and certifications among other relevant business or organizational needs At BSC it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above Compensation for hourly non-sales roles may also include variable compensation from time to time e g any overtime and shift differential and annual bonus target subject to plan eligibility and other requirements Compensation for salaried non-sales roles may also include variable compensation i e annual bonus target and long-term incentives subject to plan eligibility and other requirements Compensation for sales roles is governed by Sales Incentive Compensation Plan which includes