Senior Computer Vision Scientist (Remote)

Job summary

The role involves leading the development and deployment of computer vision and AI solutions specifically for medical imaging, ensuring that these systems are robust and clinically validated for real-world healthcare applications.

Qualifications

• Over 7 years of experience in computer vision, deep learning, or machine learning, with hands-on experience in building AI systems.
• Strong expertise in deep learning frameworks such as PyTorch and TensorFlow.
• Solid understanding of medical imaging standards like DICOM and NIfTI.
• Proficient in Python programming; familiarity with C++ is a plus.

Responsibilities

• Develop and optimize computer vision and deep learning models for medical imaging.
• Lead the end-to-end AI pipeline from data preprocessing to production deployment.
• Design evaluation frameworks to ensure models meet clinical performance standards.
• Define data curation and quality processes to address dataset challenges.
• Contribute to the validation and regulatory requirements for clinical AI.
• Collaborate with clinicians and engineers to create scalable AI solutions.
• Provide technical leadership and mentor team members in AI architecture and development.

Skills

• Expertise in computer vision and deep learning architectures, including CNNs and Vision Transformers.
• Experience with large, complex datasets, particularly in medical imaging.
• Strong problem-solving skills and ability to translate clinical needs into ML solutions.
• Familiarity with model interpretability and clinical AI validation processes.

Education

• Advanced degree in a relevant field is preferred, though not explicitly stated.

Tools

• Proficient in deep learning frameworks (PyTorch, TensorFlow) and programming languages (Python, C++).