End-of-Studies Internships (PFE)

Design an intelligent recommendation engine for the EasyBulk platform to automatically determine the optimal time and message to maximize recipient engagement.

Develop an intelligent, AI-powered engine to automatically clean, validate, and optimize databases to improve the reliability and performance of mass message campaigns.

Develop an intelligent engine capable of automatically detecting key platform events and triggering personalized notifications, optimized by AI for content and timing.

Set up a complete automation pipeline, from the GitHub event to test report generation, using n8n as the orchestration engine.

Create a complete automation pipeline (via n8n) that automatically generates and updates user guides and video tutorials

Develop an intelligent and automated platform (via WSO2 and n8n) to clean databases and optimize SMS campaigns using Artificial Intelligence.

Design and implement a Business Process Automation (Workflow Automation) tool for managing compliance and contractual processes.

Design and implement a Backend application using the reactive paradigm and asynchronous communication to ensure high performance and better resilience.

Develop an AI-powered IDE plugin using local models to analyze code in real-time, propose optimizations, and ensure adherence to best practices.

Design an intelligent assistant capable of automatically generating, analyzing, and optimizing Infrastructure-as-Code (IaC) to streamline Cloud and DevOps deployments.

Build an automated and scalable pipeline for training, deploying, and monitoring AI models on a Kubernetes cluster.

Develop a real-time server and network surveillance system that uses AI (via n8n) for automatic anomaly detection and alert automation.

Build an intelligent platform to automate the entire recruitment process: CV pre-screening, AI-based candidate scoring, and automatic interview scheduling.