✨ About The Role
- The Principal Machine Learning Engineer will lead efforts in advancing cardiac diagnostics through innovative machine learning techniques.
- Responsibilities include designing, training, and fine-tuning deep learning architectures that integrate multimodal data for scalable solutions.
- The role involves collaborating with a world-class team and external partners to refine groundbreaking technology aimed at transforming patient care.
- The engineer will develop tools for explainable AI and integrate findings into production systems, enhancing the interpretability of AI models.
- The position requires mentoring junior team members and fostering a collaborative team environment.
âš¡ Requirements
- The ideal candidate will have over 10 years of experience as a data scientist or machine learning engineer, particularly in the biomedical field, with a focus on cardiac models.
- A strong educational background, such as a Master's or PhD in computer science, data science, mathematics, physics, AI, or a related field, is essential.
- Proven experience in developing and deploying state-of-the-art deep learning models for real-world applications, especially in the MedTech sector, is crucial.
- The candidate should possess deep expertise in advanced deep learning and machine learning frameworks, particularly self-supervised methods.
- Strong engineering capabilities in Python and familiarity with version control systems are necessary for maintaining high-quality code standards.