15 meilleures offres (machine learning engineer h/f, paris, a8) (à pourvoir)

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- Azure
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Cherry Pick —Orly (94)
- 760 € par jour
- Azure
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Pretto —Paris (75)
- SQL
- Stage
- Python
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Data Engineer Confirmé (H/F)
Extia —Sèvres (92)
- De 40 000 € à 50 000 € par an
- Anglais
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CDI - Data Product Manager Analytics & IA - Supply Chain (H/F)
Hermès Paris —Pantin (93)
- Temps plein
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- Temps plein
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Talan —Paris (75)
- De 55 000 € à 70 000 € par an
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- Azure
- Niveau Doctorat
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Talan —Paris (75)
- Temps plein
- Azure
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- Ingénierie
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Open SAS —Levallois-Perret (92)
- SQL
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Quantitative AI Portfolio Engineer (Fixed Income) H/F
Amundi —Paris (75)
Premier gérant d'actifs européen parmi les 10 premiers acteurs mondiaux (1), Amundi propose à ses 100 millions de clients - particuliers, institutionnels et…

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : machine learning engineer h/f (paris, a8)

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Ingénieur(e) Ressource Solaire et Production (H/F)

TotalEnergies -
Palaiseau (91)

Soumettre votre candidature

Détails de l'emploi

CDI
Il y a 2 jours

Qualifications

Machine learning

Description complète du poste

Contexte et environnement

Integrated Power Modelling (IPM), in OneTech Technical Line Power, supports the company’s technological ambitionin the digitalization of renewable energies value chain. It brings together cross‑domain expertise (scientific and digital) to deliver digital products with the goal of maximizing both the performance and value of renewable assets (solar, wind,energy storage).

It is built around four platforms, each oriented towards internal business clients (GRP, REN, FPI,Trading, etc.): Origination & Design, Grid Integration, Operations Performance & Optimization, and Forecasting. Each platform is structured into three teams: Product Solutions (PS), Research & Capability Development (RCD) and Software Delivery & Operations (SDO).

The Origination & Design platform’s products focus on improving our designs, energy yield assessment and costs, in order to maximize the value of our renewable projects and future assets. By design, these domains are data intensive and require integration of most advanced digital solutions.

Within our Research & Capability Development team, you will join the Solar Resource & Yield team, a dynamic and diverse group of Solar PV enthusiasts committed to advancing solar energy within TotalEnergies.

The team currently consists of engineers and scientists and contributors (post-docs, PhD candidates, engineers, subcontractors), all working together to deliver cutting-edge modeling tools for solar resource assessment and PV energy yield prediction.In addition to the core team, the activity is supported by two roles within the same platform but outside the Solar Resource & Yield team: A Product Manager, who ensures smooth interaction with internal customers. A Product Owner, who oversees the industrialization and deployment of the models developed.

Activités

As Solar Resource & Yield Engineer, you will focus on Resource Assessment and will be responsible for the designand development of numerical models for solar resource projection and analysis of solar meteorological data. These models are critical for supporting project development and optimizing asset operations across the electricity value chain. Acting as a technical referent you will coordinate activities of the team, ensuring alignment and delivery of high quality solutions to internal stakeholders and business units.

Your day-to-day activities:

Lead the activity on solar resource assessment, participating to the technological roadmap, its execution and guiding the team’s efforts.
Drive solar resource assessment tasks for urgent modeling support requests from business units and OneTech partners.
Contribute hands-on to numerical model development, applying your expertise to improve accuracy and reliability.
Stay at the forefront of innovation by reviewing scientific literature, monitoring emerging trends, and actively participating in leading conferences.
Represent TotalEnergies in international collaborations, including IEA PVPS Task 16, strengthening our position in the global solar community.
Collaborate closely with internal customers and cross-functional teams to ensure models meet operational and development needs.
Use advanced tools and technologies, including statistical modeling, machine learning, and meteorological dataplatforms, to deliver robust solutions.

Profil du candidat

6 to 10 years of professional experience

Solid understanding of data analysis, modeling techniques, and handling large meteorological data sets.
Machine learning expertise or experience applying ML to physical models is a strong plus.
Able to provide technical guidance and mentorship across the team.
Enjoys mentoring and providing technical guidance, with real influence.

Informations supplémentaires

TotalEnergies valorise la diversité, promeut le développement individuel et offre des opportunités d'emploi égales à tous les candidats.

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machine learning engineer h/f emplois - paris, a8

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : machine learning engineer h/f (paris, a8)

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