AI Full Stack Engineer

About the role

Re:Sources, the technology arm of Publicis Groupe, is building a modern, AI‑driven data and analytics ecosystem. We are looking for an AI Full Stack Engineer to design, develop, and integrate end‑to‑end solutions that combine advanced machine learning capabilities with robust, user‑facing applications.

Key responsibilities

• Develop, deploy, and maintain machine learning models in production environments.
• Build AI‑driven features such as classification, anomaly detection, recommendation systems, and data enrichment.
• Integrate AI/ML models into applications via APIs and microservices.
• Design and implement responsive user interfaces using modern frameworks (e.g., React, Angular).
• Develop and maintain scalable backend services and APIs supporting data workflows.
• Work with large‑scale ETL pipelines and integrate applications with structured and semi‑structured data sources.
• Deploy applications and models in cloud environments and contribute to CI/CD pipelines and DevOps best practices.

Required profile

• Proven experience designing and delivering AI‑enabled software solutions.
• Strong collaboration skills to work with data engineers, UX designers, product teams, and DevOps engineers.
• Ability to monitor, evaluate, and continuously improve model performance and system reliability.

Required skills

• Machine Learning model development and deployment.
• Front‑end frameworks: React, Angular.
• API design and microservices architecture.
• Backend development and scalable service design.
• ETL pipelines and data processing.
• Cloud platforms (AWS, Azure, or GCP) and DevOps practices (CI/CD, automated testing).