Great Machine Learning algorithms are awesome. But what about the data behind them? As a Data Engineer, you are responsible for making our raw data useful and setting the cornerstone for our algorithmic success.
Your responsibilitiesBuild up the infrastructure to maximize data privacy, security, and development speed.Align and manage the activities of your cross-functional team.Plan, execute, and document the development of the medical AI product.What are we looking for?First experiences with our tech stack: Encord, Label Studio, PyTorch, Apache Airflow, Snowflake, dbt, Docker, Kubernetes, Argo CD, Great Expectations, Valohai.Experience in data orchestration and creating data warehouses.Good-to-have: Interest in Machine Learning.We are looking for brilliant, hard-working people who strive to become recognized thought leaders in their domain. If you enjoy learning new things and thrive in a fast-paced environment, we would love to meet you. Together, we will continuously tailor the role to your strengths and development goals.
Why usPioneer medical AI to maximize human health. Become part of an ambitious team valuing individuals, dedication, and a joyful work experience. Solve novel challenges with life-saving implications.
We accelerate your learning with rapid feedback, weekly 1:1 sessions, and inspiring problems.We give you autonomy, flexibility, and the opportunity to connect with our generation's brightest minds.We provide flexible remote team culture, fun team events, and fair compensation.Floy is on a mission to build the infrastructure for personalized health. Today, our AI products help radiologists to detect typically overlooked diseases. We envision a future where everybody can access annual holistic health assessments to prevent diseases through early detection.
Leander and Benedikt founded Floy in June 2021 and raised 8.8m€ total funding from Europe's leading investors. Over the last months, the team grew to 35 exceptional people. Our pace only accelerates from here.
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