Engineering Manager - Data & ML Platform

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:

• Build a team of experts focused on large scale data systems engineering.
• Manage, maintain and develop the organization’s ML and Data platforms, with a focus on usability, reliability, performance and efficiency.
• Define robust, maintainable, state-of-the-art distributed system architectures, to identify improvements to engineering processes and to improve efficiency and reduce effort in platform operation by creating repeatable and automated processes.
• Steer the development of infrastructure and systems supporting the deployment, monitoring, optimization and scaling of AI-based prediction and insight services in production, from conception to launch. Define requirements, create a roadmap and work with engineers to build, release, assess and iterate.

• Optimize and streamline the work of data engineering and data science teams, by designing tools and products to facilitate data exploration, model training, deployment and serving processes to achieve insights quality and service quality SLOs

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

• BSc or MSc in computer science or related fields
• At least 1 year of professional experience managing a team of more than 3 engineers
• At least 2 years of professional experience working on ML platforms
• Passionate about data and engineering at scale
• Keen to help teams grow and learn, and to nurture an harmonious engineering culture
• Solid experience in communicating with both business and technical stakeholders
• Strong oral, written and presentation skills with ability to clearly explain complex concepts to a variety of audiences
• Strong practice using agile methodologies and DevOps methods
• Excellent skills in object-oriented programming, data structures, algorithms as well as designing distributed service architectures in a cloud environment
• Proficient in the Python data science ecosystem
• Experience with data systems, ML and ML ops in production, at scale: K8s, Kubeflow, Dataproc, Sagemaker, Tensorflow, scipy, Keras…
• Experience working with public cloud platforms (AWS, Azure or GCP)
• Value end to end ownership of projects, simplicity and getting the right things done
• Fluent in English both in writing and speaking

* 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.