MeteoSchweiz

The Federal Office of Meteorology and Climatology MeteoSwiss is Switzerland's national weather service. We record and forecast the weather and climate in Switzerland and thus make a sustainable contribution to the well-being of the population and to the benefit of the economy, science and the environment.
25/01/2024
Full time
MeteoSchweiz 8302 Kloten, ZH, Switzerland
The Federal Office of Meteorology and Climatology MeteoSwiss is looking for: Machine Learning Scientist/Engineer (m/w) 80%-100% / Zurich airport MeteoSwiss Good to know Machine learning (ML) is already widely used at MeteoSwiss and makes us a leading national weather service in this subject area. However, the potential is far from exhausted. One focus of development is on data-driven forecast models as a supplement or alternative to existing numerical weather forecast models. The speed and efficiency of these ML models will enable us to deliver new and expanded prediction products in the future. As a Machine Learning Scientist/Engineer, you will develop and train data-driven weather models based on our large data archive. You will have the unique opportunity to implement innovative, data-driven approaches in weather forecasting for Switzerland. Your tasks Develop and implement machine learning...
23/01/2024
Full time
MeteoSchweiz Hyatt Regency Zurich Airport The Circle, Zürich, ZH, Switzerland
The Federal Office of Meteorology and Climatology MeteoSwiss is looking for: Coordinating management of machine learning (ML enabler) 80%-100% / Zurich airport MeteoSwiss Good to know Machine learning (ML) is already being used widely operationally at MeteoSwiss and makes us a leading national weather service in this subject area.   However, the potential is far from exhausted.   To this end, we would like to strengthen the experience and knowledge at MeteoSwiss, achieve greater professionalization, create synergies in topics such as platforms and MLOps and start larger development projects.   In your role as an “ML Enabler”, you will lead projects in the area of ​​ML and drive innovation together with a virtual team. Your tasks Develop and implement a MeteoSwiss-wide ML strategy and roadmap and strengthen best practices, ML skills and specialist knowledge in the organization Build and lead a team of up to five people Design and implement...