AI Visionary

1 week ago

Singapore beBeeSoftware Full time $80,000 - $120,000
Job Description

We are seeking a skilled software engineer or AI expert to join our team in Singapore.

This is an exciting opportunity to work on live ultrasound data, translate research into product, and directly shape the future of intelligent surgical planning.

The ideal candidate will have a strong foundation in computer vision and experience with real-time or performance-sensitive applications.

They should be passionate about MedTech and want to build tools that impact real patients.

Key Responsibilities
  • Design and develop a real-time ultrasound video processing software based on software engineering best practices.
  • Apply computer vision and machine learning algorithms to detect key haemodynamic features (e.g., reflux points, venous flow direction).
  • 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 clinician-facing user interfaces.
  • Create clear, well-structured design documentation that supports regulatory submissions and audits, ensuring design decisions align with healthcare software standards and quality requirements.
  • Implement and maintain robust software testing strategies, including automated testing, CI/CD automation, and deployment, to ensure high-quality code and reliable algorithms.
  • Design and implement scalable systems to automate MLOps/DevOps workflows.
Requirements
  • A strong background in Computer Science, Computer Engineering, or a related technical discipline.
  • Experience with Python and/or C++, with a focus on deploying real-time or performance-sensitive applications.
  • An ability to analyze and preprocess data and rigorously evaluate algorithm performance for clinical applications.
  • Strong problem-solving and analytical thinking abilities.
  • 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.
  • Experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Ability to communicate well across technical and clinical domains.
  • Ability to work in a fast-paced, research-driven environment and adapt to evolving challenges.
Preferred Qualifications
  • Familiarity with vascular anatomy or haemodynamic concepts.
  • Experience with cloud-based solutions, ensuring performance, scalability, and cost-effectiveness.
  • Understanding of medical device development standards (e.g., ISO 13485, IEC)

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