AI/ML Engineer

Job Summary: We are seeking a skilled AI/ML Engineer to join our innovative team and drive the development of machine learning models for advanced medical imaging applications. The ideal candidate will have a strong background in artificial intelligence, machine learning algorithms, and data analysis, with a passion for applying AI to solve complex problems in healthcare. Key Responsibilities Develop, implement, and optimize AI/ML algorithms for medical imaging data analysis. Work with large, diverse datasets to train, test, and validate machine learning models. Collaborate with cross-functional teams to integrate AI/ML solutions into existing MRI and medical imaging platforms. Continuously research and evaluate new AI technologies to improve the accuracy and efficiency of models. Ensure AI solutions meet regulatory and compliance standards for healthcare applications. Document and maintain detailed records of model development and testing. Requirements Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with a focus on AI/ML. Proficiency in programming languages such as Python, R, or C++. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning algorithms, neural networks, and deep learning models. Familiarity with medical imaging data (e.g., MRI, CT) and DICOM protocols is a plus. Excellent problem-solving skills and the ability to work in a fast-paced environment. Preferred Qualifications: Experience in the healthcare or medical technology sector. Familiarity with regulatory standards for medical AI applications. Knowledge of cloud-based AI services and scalable computing solutions. About the Company BioProtonics is a pioneering company focused on advancing diagnostic imaging through its Magnetic Resonance Histopathology (MRH) technology. MRH offers a non-invasive, high-resolution method for analyzing tissue microarchitecture during routine MRI scans. By capturing detailed spectral data across various wavelengths, MRH provides valuable insights into tissue health, helping differentiate between normal and potentially diseased or cancerous tissues. This innovative approach aims to enhance early disease detection, reduce the need for invasive biopsies, and improve patient care through more precise diagnostic capabilities. #J-18808-Ljbffr