We are a global B2B2C telemedicine platform, active in 37 countries around the world. Our mission is to make professional healthcare as easy to access as advice from a friend. By transforming the way people access professional healthcare, we contribute to the United Nations Sustainable Development Goal 3 “to ensure healthy lives and promote well-being for all."
As Data Scientist / Machine Learning (ML) Engineer, in this role you will help building and improving the AI/ML solutions and infrastructure supporting our products and services, contributing to the continuous innovation cycle of the company.
You will contribute to the development and evolution of the AI-based features of our services, ensuring the robustness and scalability of our models and solutions in a real-life and fast-growing global environment.
You will use your experience to coach and support more junior colleagues in the AI Lab, promoting a strong team-work and effective working environment.
Tasks
Requirements
You are available for a full time role, working remotely and/or in our office in Barcelona.
You are a resident of Spain, France, Ireland or UK.
Your skills and experience
Your attributes
Benefits
What else
We look forward to learning more about you!
Abi is a global B2B2C telemedicine platform, active 35 countries around the world. Our mission is to make professional healthcare as easy to access as advice from a friend.Our services are designed to be instantly available at the moment of need by integrating with the apps and websites people already use. We develop cutting edge Artificial intelligence and Machine Learning to markedly improve the speed, effectiveness and quality of healthcare delivery. Our core resource is the human intelligence of our healthcare professionals who share our mission of health empowerment.By transforming the way people access professional healthcare, we contribute to the United Nations Sustainable Development Goal 3 “to ensure healthy lives and promote well-being for all".
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Scientist Q&A's