Senior Deep-Learning Weather Forecast Engineer

TOTAL Deutschland GmbH

Palaiseau

Sur place

EUR 65 000 - 90 000

Plein temps

14 jours+

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Résumé du poste

TOTAL Deutschland GmbH seeks a talented professional to join their Integrated Power Modeling initiative focused on weather forecasting. The role involves developing deep learning solutions to support strategic decision-making and competitiveness in energy systems.

The ideal candidate holds a Master's or PhD in deep learning, has over 6 years of experience, and is fluent in both English and French. Responsibilities include designing workflows and collaborating with various stakeholders.

Qualifications

  • Master's or PhD in deep learning with a specialization in meteorological modeling.
  • Hands-on knowledge of deep learning-based weather forecasting models.
  • Practical knowledge of prerequisites for industrializing deep learning.

Responsabilités

  • Support short- and medium-term commercial ambitions in weather forecasting.
  • Design and develop robust internal workflows based on deep learning solutions.
  • Conduct both industrial and academic monitoring to stay at the forefront of weather forecasting technologies.

Connaissances

Deep learning-based weather forecasting models
Hands-on knowledge of meteorological data
Practical knowledge of industrializing deep learning
Proficiency in cloud and HPC infrastructures
Fluent in English
Fluent in French

Formation

Master's or PhD in deep learning with specialization in meteorological modeling

Outils

GraphCast
Aurora
FourCastNet

Description du poste

TOTAL Deutschland GmbH seeks a talented professional to join their Integrated Power Modeling initiative focused on weather forecasting. The role involves developing deep learning solutions to support strategic decision-making and competitiveness in energy systems.

The ideal candidate holds a Master's or PhD in deep learning, has over 6 years of experience, and is fluent in both English and French. Responsibilities include designing workflows and collaborating with various stakeholders.

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