Machine Learning Engineer at NodeAI

Join NodeAI as a Machine Learning Engineer focusing on ultrasound AI solutions. Your expertise in deep learning will help transform medical imaging with cutting-edge technology. NodeAI is seeking a hands-on ML Engineer to develop innovative ultrasound AI models.

This role emphasizes the design and training of deep learning architectures and setting the technical direction for imaging applications. Collaborating closely with engineering teams, you'll deploy your models in a cloud-oriented clinical environment. Key Responsibilities: • Design and evaluate deep learning models in PyTorch • Develop reusable models for segmentation, detection, and classification • Set technical direction and prioritize development goals • Implement training pipelines and optimize models for deployment • Collaborate on MLOps workflows for model management Requirements: • Strong experience with PyTorch and computer vision architectures • Familiarity with self-supervised learning techniques • Solid software engineering skills in Python and CI/CD • Collaboration skills with cloud/backend engineers • Understanding of regulated environments and data security standards Leverage your skills in ML and computer vision to advance NodeAI's impactful ultrasound solutions. #J-18808-Ljbffr