Ingénieur IA Cloud & MLOps (H/F)

Renault Group is hiring an Ingénieur IA Cloud & MLOps (H/F) in Toulouse, France. Level rates it ; you can apply on Renault Group.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Google Cloud Platform, Gke and Cloud Run among its tools and skills.
Level classes it as a mid-level role.
Renault Group has 452 other open roles on Level.

AI in this role

Deploy, secure, and monitor cloud infrastructure and MLOps pipelines for AI platforms on Google Cloud Platform.

google-cloud-platformgkecloud-rundockerkubernetesci-cd

ml-opsmlopsdevopscloud-architecturesecuritynetworking

Company

AMPERE SOFTWARE TECHNOLOGY

Job Description

Rejoignez Ampere Software Technology et participez à la révolution du Software Defined Vehicle

Ampere Software Technology est l'entité du Groupe Renault dédiée à la conception et au développement des plateformes logicielles qui équiperont les véhicules de demain. Notre ambition est de faire du logiciel un facteur majeur d'innovation, de performance et de création de valeur pour nos clients.

Au cœur de cette transformation se trouve le programme Software Defined Vehicle (SDV), qui vise à construire une nouvelle génération de véhicules capables d'évoluer tout au long de leur cycle de vie grâce à des mises à jour logicielles, des services connectés et des fonctionnalités enrichies en continu.

Pour accompagner cette ambition, l'intelligence artificielle occupe une place croissante dans nos produits, nos processus d'ingénierie et nos outils internes. Nous recherchons aujourd'hui un(e) Cloud & DevOps Engineer - GCP pour rejoindre l'équipe Infrastructure, DevOps & GenAI, en charge, entre autres, de fournir la plateforme, les services et environnements techniques qui permettent aux projets IA de concevoir, déployer et exploiter leurs solutions à l'échelle d’Ampere Software Technology.

Dans ce rôle, vous serez un acteur clé du déploiement des plateformes d'intelligence artificielle sur Google Cloud Platform. Vous contribuerez directement à la mise en production de solutions innovantes, en garantissant leur sécurité, leur performance, leur résilience et leur maîtrise des coûts.

Missions principales

Architecture de Production : Déployer les solutions sur Google Cloud Platform (GCP) en utilisant les services adaptés (Cloud Run, GKE - Google Kubernetes Engine).
Conteneurisation : Gérer l'empaquetage des applications via Docker et assurer la fluidité du passage du "Dev" vers le "Push" en production.
Sécurité & Réseau : Configurer les environnements Backend (Certs, Proxy, Réseaux VPC) et gérer les accès via IAP (Identity-Aware Proxy) et IAM.
FinOps & Monitoring : Suivre la consommation des ressources (Billing) et mettre en place le monitoring pour garantir la disponibilité des services IA.

Profil recherché

Compétences techniques (Hard Skills)

Cloud : Expertise avancée sur Google Cloud Platform (GCP).
DevOps : Docker, Kubernetes (Kube), CI/CD.
Infrastructure : Gestion des réseaux VPC, certificats SSL, et politiques de sécurité IAM.
Monitoring : Stack de logging et de suivi des coûts Cloud.

Soft Skills

Pragmatisme et obsession pour la stabilité des systèmes.
Capacité à communiquer avec les développeurs pour fluidifier le déploiement.

Job Family

Information Technologies & Systems

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 Recruitment Privacy Information Policy.

How we rate this

Ingénieur IA Cloud & MLOps (H/F) at Renault Group rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Ingénieur IA Cloud & MLOps (H/F) is an open job at Renault Group.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Toulouse.
The job was posted on September 23, 2026.
Seniority: mid.
Applications are handled by Renault Group. Apply on Renault Group

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsMLOpsDevOpsCloud ArchitectureSecurityNetworkingGoogle Cloud PlatformGke

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Tell me about a project where mlops was part of your work. What did you do?
Tell me about a project where devops was part of your work. What did you do?
Tell me about a project where cloud architecture was part of your work. What did you do?
Tell me about a project where security was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ML Ops, MLOps, DevOps, Cloud Architecture, and Security. 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.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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