Computer Vision Engineer- Medical Imaging

About the Role

This role involves working as a Computer Vision Engineer in the medical imaging domain, focusing on developing and optimizing AI/ML algorithms for medical image analysis, segmentation, and 3D reconstruction from TEE and CT images.

You will be responsible for designing, developing, and optimizing AI/ML algorithms for medical image analysis, segmentation, and 3D reconstruction from TEE and CT images, as well as researching and implementing advanced deep learning architectures for medical imaging tasks.

As a Computer Vision Engineer in medical imaging, you will work extensively with DICOM data, integrating with PACS systems for data ingestion and retrieval, and collaborate with teams for dataset curation, labeling, and ground truth generation.

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.

Skills & Qualifications

• Degree in Computer Science, Engineering, or a related field.
• Proficiency in programming languages such as Python, C++, or Java.
• Experience with computer vision libraries such as OpenCV, PCL, and MLflow.
• Knowledge of deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Understanding of 3D geometry, camera calibration, stereo vision, and multi-view reconstruction.
• Experience with DICOM data handling and integration with PACS systems.

What You'll Learn

In this role, you will gain hands-on experience with medical imaging technologies, including 2D and 3D medical imaging, DICOM data handling, and advanced computer vision techniques.

You will also learn about the design, development, and optimization of AI/ML algorithms for medical image analysis, segmentation, and 3D reconstruction, as well as the implementation of advanced deep learning architectures for medical imaging tasks.

This role will provide you with the opportunity to work with a team of experts in the field of medical imaging and computer vision, and to contribute to the development of innovative solutions for medical imaging applications.

Resume Tip

When applying for this role, be sure to highlight your experience with computer vision libraries such as OpenCV and PCL, as well as your knowledge of deep learning frameworks such as TensorFlow and PyTorch.

Also, be sure to mention any relevant projects or research experience you have in the field of medical imaging and computer vision, and how they have prepared you for this role.

Finally, be sure to tailor your resume to the specific requirements of the job, and use specific examples to demonstrate your skills and experience.