Project Overview:

Relayr is the Industrial Internet of Things (IIoT) powerhouse delivering the most complete solution for risk-free digital transformations. We unleash data insights from existing equipment, machines, and production lines to improve our customers’ business outcomes. 

We provide a unique combination of first-class IIoT technology and its delivery with powerful financial and insurance offerings — all from a single source trusted by hundreds of companies worldwide. With around 300 employees, we are a truly global family with locations in Germany, the USA, Poland, Italy, and the UK. Named twice the hottest start-up in Berlin by WIRED magazine and a winner of The Spark - the German Digital Award, relayr is now part of the Munich Re group.

Our analytics team pushes the boundaries of technology. We tackle challenging problems in the fields of data science and machine learning research to develop solutions from early prototypes to fully-fledged production-ready systems in the cloud and on the edge. We are looking to recruit highly motivated engineers and scientists that can successfully rise to the diverse challenges in the emerging market of the Internet of Things.

Above all, we are looking for people who will contribute to the success of relayr. We love diverse experiences, so even if you don’t meet all the requirements but think you’d thrive in this role, we would really like to learn more about you.

Олена Сєрокурова
  • Help Relayr building the world’s most advanced IoT Cloud Platform;
  • Design, prototype, and refine our predictive maintenance algorithms;
  • Develop data pipelines that span from edge to cloud;
  • Implement MLops solutions for continuous deployment, monitoring, and retraining of models;
  • Conduct in-depth literature research, evaluate new machine learning methods and develop predictive models;
  • Work in a cross-functional team together with Solution Architects, Backend Developers, and other Data Scientists;
  • Perform ad-hoc data analysis and present results;
  • Prototype and iterate quickly;
  • Engage in architectural discussions;
  • Participate in workshops to align customer requirements with our product and our business goals.
  • Minimum 3-5 years of experience in the analytics field;
  • Good experience with Python;
  • Significant experience with machine learning techniques ideally supervised learning and anomaly detection. Alternatively in-depth experience of implementing complex mathematical algorithms and a keen interest to dive into learning-based analytics;
  • Ability to explain data science concepts and requirements to non-technical audiences.
Nice to have:
  • Experience with cloud technology (preferably Azure);
  • Experience with predictive maintenance algorithms;
  • Experience with time-series data;
  • Good knowledge of traditional signal processing.
Higher Education:
  • Master's degree or Ph.D. in Computer Science, Engineering, Physics, or another relevant field.

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