Senior Computer Vision Scientist

Responsibilities

• Develop Medical Imaging AI by building and optimizing computer vision and deep learning models for medical imaging and multimodal datasets
• Own the end-to-end AI pipeline from data preprocessing and training through inference, optimization, and production deployment
• Design evaluation frameworks to ensure models meet clinical performance, reliability, and generalization standards
• Define data curation, annotation, and quality processes while addressing bias, noise, and dataset imbalance
• Contribute to validation, documentation, explainability, and regulatory requirements for clinical AI
• Partner with clinicians, engineers, and product leaders to translate clinical needs into scalable AI solutions
• Provide technical leadership by mentoring team members and shaping AI architecture and roadmap

Requirements

• 7+ years of experience in computer vision, deep learning, machine learning, or a closely related field
• Strong expertise in deep learning frameworks such as PyTorch and TensorFlow
• Solid understanding of medical imaging standards and formats, including DICOM and NIfTI
• Experience working with large, noisy, and imperfect real-world datasets
• Strong programming skills in Python; familiarity with C++ is a plus
• Practical experience using architectures such as CNNs, Vision Transformers, and/or self-supervised learning
• Experience developing AI-enabled medical devices or FDA-regulated medical software
• Proven experience working with medical imaging or other highly complex, heterogeneous datasets (MRI, CT, ultrasound, pathology, or multimodal data)
• Strong software engineering skills and experience building scalable ML/inference pipelines and production systems
• Demonstrated technical leadership, including mentoring, influencing technical direction, and driving projects from concept to deployment

About the Company

Sora Union is a globally distributed professional services company that specializes in Design and Software Engineering, providing services to global companies and start-ups across various industries including healthcare, financial services, technology, and education.