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Data Scientist / AI Engineer (AD/ADAS) H/F

LeHibou
Paris, France
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source
fr.indeed.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Python (Programming Language) Google Cloud Large Language Models Prompt Engineering Generative AI Git Pyspark Databricks

Job description

La prestation s?inscrit dans le cadre des activités de simulation des systèmes AD/ADAS du client final et vise à fournir une expertise en Data Science et Intelligence Artificielle pour le développement d?une plateforme d?automatisation intelligente basée sur l?IA générative.

? Développement de solutions basées sur les LLM pour l?analyse de données techniques

? Conception d?agents IA pour orchestrer des workflows complexes

? Automatisation de l?exécution de notebooks et pipelines sous Databricks

? Intégration et orchestration de simulations ADAS

? Mise en place de workflows robustes (monitoring, gestion des erreurs, reprise automatique)

? Génération automatique de rapports et indicateurs de performance

? Participer à l?industrialisation des solutions IA dans un environnement cloud GCP

Requirements

Profil candidat:Connaissances : ? Maîtrise des concepts et outils de Data Science, Intelligence Artificielle et Data Engineering

? Expérience de plus de 2 ans en IA générative et data engineering

? Bonne capacité d?analyse et esprit d?équipe

Outils : ? Python, PySpark

About the company

Notre client dans le secteur Aérospatial et défense recherche un/une Data Scientist / AI Engineer (AD/ADAS) H/F

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on fr.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

4:32 min

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Viktoria Semaan Viktoria Semaan · WWC Europe 2026

1:31 min

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Alexander Weißhaupt Alexander Weißhaupt +1 · WWC 2025

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

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29:50
WWC Europe 2026 • about 1 month ago

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WWC 2024 • almost 2 years ago

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