Computer Vision Engineer- Medical Imaging

Job Description:

• 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

Technical Requirements:

• 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

Preferred Skills:

Technology->AI-Data science->Computer Vision->Image Video processing,Technology->AI-Generative AI->Image Video processing