Machine Learning Engineer / Data Scientist

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Machine Learning Engineer / Data Scientist

Published on Aug 23, 2021

ORIL

An Outsource company with office in Lviv, Ukraine.

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Experience

1-3 years

Job Type

Full-Time

Remote

Specializations

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

Must-have

• 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.

Nice-to-have

• 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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