Architecte Data / IA Services Financiers responsable de la définition, industrialisation et déploiement d’architectures Data & IA pour les services financiers, en assurant conformité réglementaire et performance.
Compensation
Rémunération : En fonction du profil
Responsibilities
Définir des architectures Data & IA : data mesh, feature stores, plateformes MLOps, scoring, pricing et IA générative
Industrialiser les solutions en garantissant passage à l’échelle, performance, résilience et maîtrise des coûts
Traduire les exigences de l’AI Act, DORA, ACPR, RGPD, Bâle et Solvency en choix de conception
Garantir l’explicabilité, la traçabilité, la robustesse et le contrôle des biais des modèles
Intégrer les contraintes des métiers : risques, conformité, anti-fraude, KYC/AML, marketing, relation client, actuariat et trading
Requirements
Master's degree (Bac+5) in Engineering or Business School with strong technical specialization
Looking for a Senior Infrastructure Engineer to help build and evolve the systems that products and engineering teams depend on every day, covering cloud infrastructure, deployment, observability, reliability, networking, security, and developer tooling.
Responsibilities
Designing and evolving cloud infrastructure on GCP
Building reliable deployment and CI/CD systems
Improving observability across services, infrastructure, and production workloads
Building tooling that makes engineers faster and reduces operational overhead
Improving reliability, scalability, and resilience across systems
Requirements
Nice to have: Experience supporting data-intensive or machine learning systems
Senior MLOps & Cloud Infrastructure Engineer responsible for building, operating, and evolving the cloud infrastructure and engineering platforms behind production AI systems.
Responsibilities
Design, provision, and operate scalable infrastructure on GCP
Manage containerised applications and ML workloads with Kubernetes
Build reproducible infrastructure using Terraform
Design and improve CI/CD pipelines for backend services and data pipelines
Improve service availability, resilience, and incident response
Looking for a Senior Data Engineer to build reliable data systems, shape how data is collected/used for ML systems, real-time product experiences, and analytics.
Responsibilities
Design and build scalable batch and streaming data pipelines
Build real-time data infrastructure used by production ML inference
Develop feature pipelines and feature serving for machine learning models
Create reliable datasets for analytics, experimentation, and business intelligence
Develop data models and infrastructure that support product and engineering teams
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