Senior Deep-Learning Weather Forecasting Engineer

TotalEnergies Group; Palaiseau; Hybride; EUR 60 000 - 80 000; Plein temps

Résumé du poste

TOTAL Deutschland GmbH seeks a seasoned professional for its Integrated Power Modeling initiative focusing on advanced weather forecasting solutions. The candidate will support commercial ambitions, manage relevant datasets, and contribute to deep learning model development.

The ideal candidate holds a Master's or PhD in deep learning, possesses extensive experience, and is proficient in cloud and HPC infrastructures. Proficiency in English and French is required, and a strong commitment to collaboration and knowledge sharing is essential.

Qualifications

• More than 6 years of professional experience.
• Hands-on knowledge of deep learning-based weather forecasting models.
• Proficiency in computing infrastructures.

Responsabilités

• Support commercial ambitions in weather forecasting.
• Collect relevant datasets tailored to geographical areas.
• Design and develop robust internal workflows based on deep learning solutions.
• Conduct industrial and academic monitoring for weather forecasting technologies.

Connaissances

Deep learning

Weather forecasting

Data collection

Model evaluation

Stakeholder collaboration

Formation

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

Outils

Cloud computing infrastructures

High-Performance Computing (HPC)

Storage architectures

Description du poste

TOTAL Deutschland GmbH seeks a seasoned professional for its Integrated Power Modeling initiative focusing on advanced weather forecasting solutions. The candidate will support commercial ambitions, manage relevant datasets, and contribute to deep learning model development.

The ideal candidate holds a Master's or PhD in deep learning, possesses extensive experience, and is proficient in cloud and HPC infrastructures. Proficiency in English and French is required, and a strong commitment to collaboration and knowledge sharing is essential.