
AI Visionary: Ultrasound Data Specialist
2 weeks ago
Role Overview
We're looking for a mission-driven professional with a strong foundation in computer vision to join our team. The ideal candidate will help build real-time, AI-assisted tools that support surgeons treating venous disorders. This is a rare opportunity to work on live ultrasound data, translate research into product, and directly shape the future of intelligent surgical planning.
Job Description
For our current project, you'll be responsible for designing and developing a real-time ultrasound video processing software based on engineering best practices. You will also apply computer vision and machine learning algorithms to detect key haemodynamic features (e.g., reflux points, venous flow direction). Additionally, you'll develop algorithms for 2D/3D anatomical reconstruction from ultrasound data, support integration of software into ultrasound machines/devices, and collaborate with frontend engineers to ensure intuitive clinician-facing user interfaces.
Responsibilities
- Design and develop real-time ultrasound video processing software
- Apply computer vision and machine learning algorithms to detect haemodynamic features
- Develop algorithms for 2D/3D anatomical reconstruction from ultrasound data
- Support integration of software into ultrasound machines/devices
- Collaborate with frontend engineers to ensure intuitive user interfaces
Required Skills and Qualifications
The ideal candidate will have a strong background in Computer Science or a related technical discipline. They should be passionate about MedTech and want to build tools that impact real patients. Proficiency in Python and/or C++, experience in deploying real-time or performance-sensitive applications, and ability to analyse and preprocess data are essential.
Benefits
This role offers a unique opportunity to work in a fast-paced, research-driven environment and adapt to evolving challenges. The ideal candidate will have strong problem-solving and analytical thinking abilities, as well as hands-on experience in dealing with computer vision tasks, such as image segmentation, object detection and tracking, especially in medical imaging or video processing domains.
Others
Familiarity with cloud-based solutions, ensuring performance, scalability, and cost-effectiveness, is a plus. Experience working with deep learning frameworks, such as PyTorch or TensorFlow, and understanding of medical device development standards are also desirable.
What We're Looking For
We're looking for a talented individual who can contribute to building impactful healthcare software. If you're excited about applying deep tech to solve meaningful clinical problems, we'd love to hear from you.
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