Machine Learning Engineer / Data Scientist

Published on Aug 23, 2021

An Outsource company with office in Lviv, Ukraine.

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1-3 years
Job Type:
Data Engineering
Deep Learning
Data Science & AI

What You Will Do Responsibilities
  • Collaborate with a team of doctors, engineers, and fellow data scientists around product goals and novel sensing modalities;
  • Develop validated biomarkers with the use of deep learning and machine learning algorithms, and contribute to their integration into the final product;
  • Develop novel analytic strategies for physiological signals collected from medically graded device and data collected with wearable devices;
  • Document and communicate results to the team in preparation for regulatory filing.

What You Should Bring
  • A degree in Biomedical Engineering, Statistics, Computer Science;
  • 3+ year’s of relevant experience;
  • Proficiency with Python and associated machine learning libraries such as Numpy, Pandas, Scikit-Learn, TensorFlow/Keras/PyTorch;
  • Solid knowledge of ML solutions design patterns;
  • Working knowledge of AI/ML and Data Engineering tools in any major cloud platform such as GCP, AWS, or Azure;
  • Hands-on experience with ML operationalization;
  • Proficiency in querying Relational and Non-relational databases;
  • Ability to innovate features and models beyond basic routines to meet performance objectives;
  • Proficiency in implementing innovative solutions and techniques based on academic data science and machine learning literature;
  • Passionate for developing products to serve patients and make lives better;
  • Drives towards a positive outcome as the work you will do will directly impact the standard of care worldwide;
  • Entrepreneurial, independent, and collaborative;
  • Proficiency in English and excellent written and verbal scientific communication and time management skills.
  • PhD desired;
  • Experience working in a fast-paced start-up;
  • Experience working with ECG (or other cardiac signals), EEG, and/or clinical physiological data and/or data from wearable devices (e.g., Garmin, Apple Watch);
  • Familiarity with health and medical regulatory processes;
  • Working experience with Amazon Web Services.

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