Position: Machine Learning Engineer / Data Scientist
Company: ORIL
Category: Data Science
Experience required: 3y
English level: upper

**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.
 
**Requirements:**
- 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.
 
**Will be a plus:**
- 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.