CS27 - STAGE - BAC+5 - Intelligence Multimodale pour l'Analyse Vidéo en Manufacturing (H/F)

AI in this role

Develop multimodal AI prototypes and LLM applications for industrial manufacturing processes and video analysis.

vertex-aitensorflowpythonopencv

computer-visionllmgenerative-aipredictive-maintenance

Company

RENAULT s.a.s.

Job Description

Contexte et environnement de travail :

Renault poursuit son engagement envers les jeunes au travers de la formation par l’alternance et les stages. Cette politique volontariste positionne Renault comme un des contributeurs majeurs au développement de l’apprentissage en France. Dans le cadre de votre stage, vous serez suivi par le service Emploi, compétences et Politiques Jeunes et plus particulièrement au sein des relations écoles et de la marque employeur de Renault.

Vos missions :

En tant que stagiaire, vous aurez l’opportunité de :

Contribuer aux projets LLM déjà en cours (diagnostic assisté, automatisation documentaire, optimisation des workflows).
Explorer de nouvelles opportunités pour intégrer l’IA générative dans nos processus industriels.
Participer à des travaux d’analyse IA sur des flux vidéo pour détecter des anomalies et renforcer la maintenance prédictive.
- Développer des prototypes innovants et présenter vos recommandations aux équipes DOTM.

Qui êtes-vous ?

Étudiant(e) en dernière année d’école d’ingénieur ou Master (IA, Data Science, Informatique industrielle).
Programmation en Python.
Connaissance des plateformes IA cloud, notamment Vertex AI.
Bases en vision par ordinateur (OpenCV, TensorFlow…).
Curiosité, autonomie et envie de relever des défis technologiques.

Ce que vous allez apprendre

Intégrer l’IA générative et la vision par ordinateur dans des environnements industriels réels.
Travailler sur des projets stratégiques avec des experts IA et Digital Manufacturing.
Développer vos compétences en innovation et gestion de projet.

Vous souhaitez participer à l’aventure de l’automobile de demain ? Rejoignez-nous ! 🚗💡

Job Family

Information Technologies & Systems

Contract Duration

6 months

Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves.
We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form.

In order to follow in real time the evolution of your applications and to stay in touch with us, we invite you to create a candidate account. This will take you no more than a minute and will also make it easier for you to apply in the future.

By submitting your CV or application, you authorise Renault Group to use and store information about you for the purposes of following up your application or future employment. This information will only be used by Renault Group companies as described in the Group privacy policy.

How we rate this

CS27 - STAGE - BAC+5 - Intelligence Multimodale pour l'Analyse Vidéo en Manufacturing (H/F) at Renault Group rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer VisionLLMGenerative AIPredictive MaintenanceVertex AITensorFlowPythonOpencv

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Tell me about a project where llm was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where predictive maintenance was part of your work. What did you do?
Walk me through how you've used Vertex AI in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Computer Vision, LLM, Generative AI, Predictive Maintenance, and Vertex AI. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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