Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Candidates must be pursuing a Master's degree in Electrical Engineering, Computer Science, or Biomedical Engineering, with proficiency in English (C1 or above). A strong mathematical background and solid theoretical and practical skills in Machine Learning are essential.
The intern will work on machine learning projects for medical applications, including feature selection and classification tasks to research treatment characteristics. Responsibilities include data preprocessing, developing and evaluating machine learning models, performing feature selection, documentation, reporting, and presenting results to the team and stakeholders.
Develops and manufactures medical devices and therapies
Medtronic provides medical technology, services, and solutions to improve patient care. The company develops a variety of medical devices, including pacemakers, insulin pumps, surgical tools, and neurostimulation devices, which help diagnose, prevent, and treat chronic diseases. These products are used by hospitals, clinics, and healthcare professionals around the world. Medtronic stands out from competitors by investing significantly in research and development to create new products and offering additional services like training and patient management programs. The goal of Medtronic is to enhance patient outcomes and lower healthcare costs through its comprehensive range of medical solutions.