4 beste Stellen als machine learning python in kanton zürich – aktuell auf Personalsuche

Deliver MeteoSwiss's technical expertise in an international cooperation project focused on improving meteorological forecasts in South Asia
Apply machine learning (ML) methods to improve local precipitation forecasts
Develop and operationalize practical solutions for the use of ML methods in collaboration with national meteorological services in the region
Cooperate with international project partners such as the University of Oxford, the World Meteorological Organization, and national weather services in the region, and exchange expertise on ML methods
Conduct regular business trips to South Asia, give presentations at conferences, publish in professional journals and grey literature, and actively disseminate knowledge

This makes you unique

Master's degree in computer science, mathematics, data science, or the natural sciences (e.g., physics, meteorology, climatology)
In-depth expertise in processing and curating meteorological and climatological data (e.g., netCDF, GRIB) as well as in designing data pipelines
Proven, multi-year expertise in software development and application deployment, including container technologies (Docker), CI/CD, and scalable systems, ideally in cloud environments
Experience in using machine learning with Python (e.g., PyTorch, TensorFlow, or JAX) as well as in the deployment and operation of ML inference systems (MLOps, monitoring, versioning)
Strong intercultural competence, a solution-oriented and self-reliant mindset, , as well as the ability to work confidently and with enthusiasm within a team and with a diverse range of international stakeholders from administration, academia, and practice
Excellent oral and written proficiency in one official language and good proficiency in a second; outstanding English language skills

In a nutshell

MeteoSwiss is actively involved in international cooperation and supports partner meteorological services in building their capacity. In this context, MeteoSwiss acts as a “peer advisor” to partners on topics such as measurement networks, modeling, service development, as well as organizational structures and their environments. In your role as an ML expert and as part of a cross-departmental team, you will contribute significantly to implementing this effort.

Starting date: by arrangement

Type of employment: temporary

until 31.12.2028

Reference no.: #LI-MCH1012

Place of work: Operation Center 1, Frachtstrasse, 8058 Zürich

What sets us apart

The Swiss Federal Office for Meteorology and Climatology MeteoSwiss is the Swiss National Weather Service. We record and forecast weather and climate in Switzerland and thus make a sustainable contribution to the well-being of the community and to the benefit of industry, science and the environment.

The offices of the Federal Department of Home Affairs (FDHA) take systematic measures to ensure a good working environment and the health of their staff. This commitment has earned them the Friendly Work Space label.

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Working for SwitzerlandWe are committed to the successful Swiss model and work for the public good.

Embracing diversityThanks to equal opportunities, we draw on our expertise and contribute different perspectives.

Staying healthy at workWe support and advise our employees in the area of physical and mental health.

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