Medical Imaging ML Engineer - NodeAI

Elevate medical imaging technologies as a Machine Learning Engineer with NodeAI. Focus on ultrasound AI models, segmentation, and classification for clinical applications. NodeAI is looking for a dedicated ML Engineer to spearhead the development of AI models for ultrasound image analysis.

Your role will include designing deep learning models in PyTorch and leading technical direction as the team grows. You'll work in a regulated medical environment, focusing on the efficient deployment of models and enhancing clinician collaboration. Key Responsibilities: • Train and optimize deep learning models for ultrasound data • Create efficient architectures for multi-tasking goals • Provide technical leadership and mentorship • Implement scalable pipelines for training and inference • Collaborate on monitoring and model rollout processes Requirements: • Extensive experience with PyTorch and modern architectures • Knowledge of transfer learning and SSL application • Strong Python and Git software engineering skills • Ability to work with cloud engineers for integration • Compliance with data privacy and security best practices Make a significant impact on the future of medical imaging at NodeAI. #J-18808-Ljbffr