About PriceHubble
PriceHubble is a PropTech company with over 220 employees, set to radically improve the understanding and transparency of real estate markets based on data-supported insights. We aggregate and analyze a wide variety of large scale datasets, and apply state-of-the-art machine learning to generate high-quality valuations and predictive analytics for the real estate market. We are headquartered in Zürich, with offices in Berlin, Hamburg, Paris, Vienna, Prague, Amsterdam and Tokyo. We work on international markets and we are backed by world-class investors. We have a startup environment, low bureaucracy, and an international team and business.
The opportunity
You will be part of the Data Products team, heading a team of experienced ML and software engineers who build PriceHubble’s Data and ML Platform. The Data & ML Platform Manager has a key role in supporting the excellence of PriceHubble’s products, by directing the development of the ideal environment for data engineering and science teams to innovate and deliver PriceHubble’s world-class, high scale, customer-facing real-estate inference products.
As the leading member of the team, the empowerment and growth of your team members will be your main responsibilities. Moreover, you value elegant and highly efficient engineering, and you derive great satisfaction from delivering very reliable and usable systems .
Through your contributions, you will help to:
We will also expect you to always stay at the forefront of ML engineering, quality management, cloud and data ops best practices in the industry.
Requirements
* We are interested in every qualified candidate who is eligible to work in the European Union but we are not able to sponsor visas.
Benefits
Join an ambitious and hungry team and enjoy the following benefits:
💰 Competitive salary because we always want to attract the best talents.
📘 Learning & Development program - We want you to feel happy, confident about improving your skills, experience level as well as your personal development success.
🏢 Very well-located offices with a great remote work policy and the possibility to work from different places.
🕓 Flexible working hours and work life balance.
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