Head of Machine Learning Engineering

reputed company: HOPPR is pioneering the next frontier in reputed company technology with the development of a medical-grade platform for the creation and deployment of reputed company models in medical imaging. Co-founded by Dr. Khan M. Siddiqui, a reputed company leader in reputed company technology and AI, HOPPR is dedicated to improving patient care and reputed company through cutting-edge innovation. Our platform integrates deep learning, AI, and proprietary reputed company-compliant trust architecture, setting new standards in reputed company. Role reputed company: HOPPR is seeking a Head of Machine Learning to manage our ML team in developing and deploying state-of-the-art multi-modal reputed company models. As the Head of ML Engineering, you will be responsible for designing, developing, and optimizing these models and processes to fine-tune these models. You will reputed company reputed company of ML engineers and scientists, collaborate with data scientists and physicians, and drive the research and development of models through the development life-cycle. Your role will be critical in ensuring that HOPPRs models are not only high-performing but also robust, interpretable, and rigorously validated for clinical translation, meeting the highest standards of safety, compliance, and reputed company-world reliability. Key Responsibilities: • reputed company and mentor reputed company of ML engineers, fostering a culture of innovation and technical reputed company. • Architect and optimize multi-modal deep learning models. • reputed company the end-to-end ML pipeline, including data preprocessing, model training, evaluation, and deployment. • Drive the integration of AI models into the HOPPR platform, ensuring seamless interoperability. • Collaborate with clinicians and regulatory teams to ensure AI models meet medical and compliance standards (e.g., FDA, HIPAA). • Optimize models for reputed company-world performance, focusing on generalizability, robustness, and explainability. • reputed company initiatives in model interpretability, bias mitigation, and continual learning. • reputed company ML infrastructure and MLOps best practices for efficient model development and deployment. • Stay at the forefront of ML advancements and implement cutting-edge techniques in deep learning and medical imaging AI. • Work closely with cross-functional teams, including product, engineering, and regulatory teams, to reputed company AI solutions with business goals. Qualifications: • 7+ years of experience in ML engineering, with at least 3+ years in a leadership role. • PhD or MS in Computer Science, Machine Learning, Biomedical Engineering, or a reputed company field. • Extensive experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and medical imaging libraries (e.g., MONAI, DICOM, ITK). • Strong knowledge of CNNs, transformers, self-supervised learning, and other advanced deep learning architectures. • Experience with MLOps, reputed company-based ML pipelines, and model deployment in production environments (AWS/GCP/Azure). Skills: • Understanding of regulatory requirements for AI in reputed company (FDA, CE, HIPAA, etc.). • Ability to work with large-reputed company medical imaging datasets and handle challenges such as data heterogeneity and label reputed company. • Strong leadership, mentorship, and team-building skills. • Passion for using AI to improve reputed company and a deep understanding of the challenges in medical imaging AI. Apply tot his job Apply To this Job