Cloud & IA Architect F / M

Keolis; Courbevoie; Hybride; EUR 50 000 - 70 000; Plein temps

Résumé du poste

Une entreprise de transport public recherche un Architecte Cloud & SRE pour concevoir et garantir la disponibilité des infrastructures cloud et des plateformes AI. Le candidat idéal doit avoir plus de 4 ans d'expérience et maîtriser les pipelines CI/CD, l'opérationnalisation des modèles ML et les meilleures pratiques d'Infrastructure-as-Code. Ce rôle offre un modèle de travail hybride et un budget de formation individuel.

Prestations

Modèle de travail hybride

Budget de formation individuel

32 jours de congés

Qualifications

• Expérience opérationnelle des modèles ML à grande échelle.
• Compréhension approfondie des systèmes distribués et des plateformes de données.
• Maîtrise des pipelines CI/CD et des pratiques d'Infrastructure-as-Code.

Responsabilités

• Concevoir, construire et assurer la disponibilité des infrastructures cloud.
• Évaluer et intégrer des capacités d'IA générative lorsque cela est approprié.
• Définir les objectifs opérationnels pour les applications critiques.

Connaissances

Architecture Cloud

MLOps

Développement CI/CD

Gestion des incidents

Python

Formation

4+ années en architecture Cloud ou ingénierie AI

Outils

Azure DevOps

Terraform

Databricks

Description du poste

Overview

Cloud & IA Architect F / M

Systèmes d'Information

Keolis is a pioneer in public-transport development and a preferred partner of public decision-makers seeking to harness shared mobility as a catalyst for territorial attractiveness and vitality. As the world’s leading operator of automated metro and tramway networks, Keolis pursues an ambitious open-innovation policy with its subsidiaries and partners to strengthen core business while creating new, tailor-made shared-mobility solutions.

In France, Keolis ranks second in the parking sector through its subsidiary EFFIA and leads medical transport via Keolis Santé. The Group employs 68,500 people in 16 countries with revenue of €6.1 billion in 2020. Keolis is 70% owned by SNCF and 30% by CDPQ. Our 68,500 employees bring meaning to their work, build unique career paths and grow through daily encounters.

With more than 4,000 employees, the Île-de-France division oversees nearly 30 Keolis subsidiaries. Supported by the Digital & Information Systems Directorate (DDSI), we deliver enterprise IT, line-of-business applications, digital services and innovation for travellers in the Île-de-France region. Our services span tram-train, autonomous shuttles, buses, demand-responsive transport and services for passengers with reduced mobility.

Keolis Île-de-France operates public-transport solutions for Île-de-France Mobilités and major private clients.

As part of ongoing growth, the DDSI is seeking to recruit a Cloud Architect & SRE (F / M).

Your Mission

Attached to the Technical Direction team under Cloud Operation, your principal remit will be to design, build-out and ensure the operational readiness of cloud infrastructures and AI platforms that underpin Keolis’ information system. You will bridge Cloud Engineering, Data Science / ML teams and our 24×7 Production Operations team. Your goal is to raise availability, performance, scalability and reliability of all passenger-facing and back-office services while enabling safe, efficient, and fast delivery of AI / ML capabilities.

You will contribute to corporate projects by leveraging a strong grasp of business imperatives and the technical challenges posed by Big Data, IoT and Artificial Intelligence. Your task will be to manage the roadmap towards an urbanised, production-grade architecture for data and models while addressing emerging requirements from the business and customers, with the aim of industrialising, operationalising and monetising data and AI assets across operational processes.

To that end, you will provide deep technical expertise in cloud and AI technologies, operating principles, model lifecycle management (MLOps) and responsible AI practices, while focusing on business value and meaningful indicators. You will organise and manage projects within this perimeter under the CIO’s authority and in coordination with IT Production, Transformation, Innovation, Data, and Security teams, per the IS-transformation roadmap. You will collaborate with subsidiary, regional, and Group-level teams, external partners and selected AI vendors.

You will :

• Define operational objectives and ownership for critical transport applications and AI / ML services (model latency, throughput, prediction accuracy, data freshness, drift detection).
• Build and maintain automated runbooks, self-healing workflows and observability dashboards for both infra and model performance in Azure.
• Drive reliability and governance features directly into CI / CD and MLOps pipelines (Azure DevOps, Azure ML, MLflow).

40 product and data teams.

• Define and run post-incident reviews and blameless retrospectives for infra, data and model incidents; turn insights into prioritized remediation and prevention plans.
• Champion best practices for Infrastructure-as-Code (Terraform), model deployment strategies (canary, blue/green, shadow), feature-flagging and rollout governance.
• Coach Data Engineers and Operations staff to automate repetitive tasks, automate model retraining and deployment, and reduce manual toil.
• Partner with SecOps, Data Governance and Legal to embed guardrails for privacy, security, explainability and compliance (GDPR, model risk).
• Contribute to cost-optimisation and capacity planning across PaaS, IaaS, managed AI services and data platforms (Azure ML, Synapse, Databricks, vWAN).
• Promote responsible AI: implement monitoring for bias, drift, data lineage, model explainability and lifecycle documentation.
• Evaluate and integrate generative AI and LLM capabilities when appropriate (OpenAI / Azure OpenAI, embeddings, retrieval-augmented generation) ensuring safety and business alignment.

Our Tech Landscape

• Azure AD, VNets, vWAN, App Service, AKS, Functions, SQL MI, Event Hub, IoT Hub
• Azure ML, Azure OpenAI / Cognitive Services, Azure Synapse, Databricks, Data Lake Storage
• Hybrid Windows & Linux workloads, O365, Defender, Intune
• Azure DevOps Repos, Pipelines, Artifacts, Boards; MLflow, Azure Pipelines for MLOps
• HashiCorp Terraform & Packer, Bicep, Ansible
• Prometheus, Grafana, Azure Monitor, Log Analytics, Kusto (KQL)
• Python (pandas, scikit-learn, PyTorch, TensorFlow), PowerShell, Go
• Model governance tools, feature stores, monitoring for data / model drift

What You’ll Need

• 4+ years in Cloud / Platform architecture, MLOps or AI engineering on Microsoft Azure
• Demonstrated experience operationalising ML models at scale and understanding of model lifecycle (training, validation, deployment, monitoring, retraining)
• Deep understanding of distributed systems, networking and data platforms
• Hands-on experience building CI / CD and MLOps pipelines (YAML) in Azure DevOps / Azure ML
• Proven knowledge of monitoring / alerting, incident management and post-mortems for infra and models
• Infrastructure-as-Code in Terraform or Bicep
• Familiarity with responsible AI practices: explainability, bias detection, data lineage and governance
• Fluent in English; French a plus

Nice-to-Have

• Exposure to public transport or industry OT environments
• Experience with Databricks, Synapse Analytics, feature stores, or vector databases
• Experience with generative AI, LLMs, embeddings and retrieval-augmented generation (RAG)
• Kubernetes / MLOps certifications (CKA / CKS), or ML engineer certifications
• FinOps or cloud cost-management experience

What We Offer

• Impact: Your work helps keep trams, buses and metros running for 1M+ citizens and enables smarter, safer services.
• Hybrid working model & flexible hours (2–3 days remote).
• 32 holidays, pension plan, annual mobility pass, bike leasing.
• Individual training budget & Microsoft certification vouchers.
• A diverse, inclusive culture with regular tech talks, hack days and Communities of Practice.