Job Overview
Our organization is seeking a skilled Machine Learning Engineer to join our team. We are dedicated to developing innovative AI solutions that improve cardiovascular health.
The successful candidate will have the opportunity to work with cutting-edge technology and contribute to the development of machine learning models for blood pressure estimation.
This role offers an exciting chance to collaborate with cross-functional teams, solve complex technical problems, and make a meaningful impact on people's lives.
Responsibilities
* Design, develop, optimize, and document innovative AI models for blood pressure estimation from optical signals.
* Analyze model limitations and devise strategies to enhance performance, addressing key challenges.
* Collaborate effectively with cross-functional teams to solve complex technical problems.
Requirements
* A Master's degree or Ph.D. in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or a relevant field.
* At least 2 years of industry experience applying Deep Learning techniques, ideally in a highly regulated field such as medtech or banking.
* Experience in developing, fine-tuning, and evaluating neural network architectures on large-scale datasets.
* Experience in performing verification and validation activities of developed models.
* Experience in deploying machine learning models in a production environment.
* Deep understanding of statistical learning, CNNs, and RNNs.
* Proficiency in Python and machine learning frameworks such as PyTorch, Scikit-learn, TensorFlow, etc., and AWS.
* Experience in medical signal processing or time series analysis is a plus.
* Strong communication skills in English, both written and spoken.
* Creative and hands-on approach to problem-solving.
* Comfortable working in a multidisciplinary, multicultural, and diversity-oriented team.
* Highly organized and meticulous in code development and documentation, ensuring thorough traceability and clarity in compliance with medical device industry standards.