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Senior Machine Learning Engineer
Há 1 mês
We are seeking a highly skilled Machine Learning Engineer to join our team at Sword Health. As a key member of our AI team, you will be responsible for designing, building, and evaluating AI/ML-powered features that drive high-quality clinical care at unprecedented levels of personalization and scale.
Our team is dedicated to leveraging AI and ML to provide innovative solutions that improve patient outcomes. We are looking for an individual who is passionate about machine learning and has a strong background in developing and deploying AI/ML systems.
Key Responsibilities- Contribute to designing, building, and evaluating AI/ML-powered features for internal and external users;
- Develop and maintain data processing pipelines for getting the data required to build and evaluate models;
- Work alongside the Product, Data, and Engineering Teams to define and implement AI/ML-powered features;
- Share knowledge and experience of how to build ML systems.
- 2+ years of professional experience in Machine Learning;
- Hands-on experience implementing and maintaining machine learning systems;
- Solid experience in SQL and Python as well as experience developing production software;
- Working knowledge of Python data stack (numpy, pandas, matplotlib, scikit-learn, etc);
- Ability to learn quickly and dive deep into new problems and fields;
- Ability to communicate concepts clearly and interface with both technical and non-technical stakeholders;
- Ability to prioritize and solve issues according to the team's direction and goals.
- A stimulating, fast-paced environment with lots of room for creativity;
- A bright future at a promising high-tech startup company;
- Career development and growth, with a competitive salary;
- The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;
- A flexible environment where you can control your hours (remotely) with unlimited vacation;
- Access to our health and well-being program (digital therapist sessions);
- Remote or Hybrid work policy.
The interview process will consist of 30-minute calls with the recruiter and an initial screener, a 1-week take-home assignment, a 1-hour general skills and working principles interview, and a 1-hour mindset and cultural fit interview.
