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Publié il y a 136 jours

Cloud Engineer - AI - Permanent

Entreprise
VizziaRecrute en direct
Localisation
Paris, France
Hybride
Type de contrat
Freelance
Niveau
Rémunération
70 - 90ۥ Taux journalier

Salaire du marché

Médiane du marché
525€/j
Sous le marché
475€/jfourchette habituelle625€/j
Cette offre : 80€/j

Basé sur 41 offres pour ce poste (tous niveaux, Paris, 3 dernières semaines). Fourchette habituelle 475€/j–625€/j, médiane 525€/j. Cette offre (80€/j) est sous la fourchette.

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Description du poste

Salary: 70-90 selon profil

Context

250+ local authorities rely on Vizzia to keep their streets clean and safe, with the ambition to reach 500+ by the end of 2026. AI Waste is the product where computer vision turns city signals into action on the ground.

The AI team (15 people) is moving from 400 to 1000+ cameras in production, dividing AI processing cost by 5, and onboarding new models in parallel. None of that ships without a cloud infrastructure that scales, holds under load, and stays cheap to run.

The Infra Orchestration squad sits inside the AI team and owns the cloud, the orchestration layer, and the CI/CD that the AI engineers ship through every day.

We're hiring a Cloud Engineer reporting to Bruno, Head of AI, to design and run the cloud architecture, optimize AI pipelines, and ship the CI/CD that makes the AI team faster.

What You'll Do

1. Cloud architecture & infrastructure as code

  • Design and maintain cloud architectures and IaC (CDK) for the AI Waste stack on AWS.

  • Make new cloud resources reproducible and easy to deploy across environments.

2. AI pipeline orchestration

  • Orchestrate and optimize the AI processing pipelines used by the AI team.

  • Build orchestration and error-management components that hold under high data volumes.

3. CI/CD for AI engineers

  • Develop and optimize the CI/CD pipelines used by the AI team (GitHub Actions).

  • Promote DevOps and MLOps best practices, automate manual workflows.

4. Scalability, security, observability

  • Keep the infrastructure scalable, secure, and observable as the camera fleet grows from 400 to 1000.

  • Contribute to incident response and post-mortems in a cloud culture.

5. FinOps

  • Track and optimize cloud cost; help divide AI processing cost by 5 over the year.

Exigences du poste

Stack technique :

DevOpsAWSPythonTerraform

Plan d'action

Un plan personnalisé pour postuler intelligemment à cette offre.

À propos de l'entreprise

VizziaRecrute en direct
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