Stages & Alternances

End-of-Studies Project / Internship — Business

COGNIRA retsci •

Hybride3+ moisExpire dans 14 jours

Overview Company: COGNIRA - retsci has published a PFE Book announcing end-of-studies projects and internships for 2025/2026. Opportunity type: internships and PFE (end-of-studies) projects aimed at business students and related functions. Business Scope & Topics The post lists business as one of the departments included in the PFE Book, indicating business-related internship topics are available. Projects are positioned for candidates who want to learn, innovate, and make an impact in business areas (strategy, operations, or related functions as detailed in the PFE Book). How to Explore & Apply To view specific business internship topics and application instructions, follow: Explore our internship topics here. The provided link is the reference to access the full list of opportunities and next steps. Additional Details (from post) The announcement references both "Internship Season 2025" and "End of studies projects 2026," showing the timeline for offered PFEs. The post emphasizes diversity of opportunities across engineering, IT, and business; no further role-specific details are provided in the announcement itself.

End-of-Studies Project / Internship — IT

COGNIRA retsci •

Hybride3+ moisExpire dans 14 jours

Overview Company: COGNIRA - retsci is promoting its PFE Book and the Internship Season 2025 for students. Opportunity type: internships and end-of-studies projects (PFE) relevant to IT disciplines. IT Scope & Topics The post explicitly lists IT among the departments covered by the PFE Book; this listing corresponds to IT-focused internship topics. Projects are intended for students aiming to learn, innovate, and contribute to IT teams and initiatives. How to Explore & Apply Candidates are directed to the detailed list of internship topics via this link: Explore our internship topics here. The link is the primary resource to view available IT projects and the application process. Additional Details (from post) The announcement mentions both "Internship Season 2025" and "End of studies projects 2026," covering typical academic PFE timelines. The post emphasizes diverse opportunities across departments, including IT, without providing specific role descriptions in the announcement itself.

End-of-Studies Project / Internship — Engineering

COGNIRA retsci •

Hybride3+ moisExpire dans 14 jours

Overview Company: COGNIRA - retsci announces its PFE (end-of-studies) book and Internship Season 2025. Opportunity type: End-of-studies projects (PFE) and internships targeting students finishing in 2025/2026. Engineering Scope & Topics Departments highlighted in the announcement include engineering (this listing covers engineering-specific topics and projects). Projects are described as diverse and intended for students who want to innovate, learn, and make an impact within engineering domains. How to Explore & Apply The post directs candidates to the PFE Book with the internship topics: Explore our internship topics here. The public link above is the primary entry point to view detailed internship topics and application steps. Additional Details (from post) The announcement references both "Internship Season 2025" and "End of studies projects 2026," indicating opportunities spanning final-year internship/PFE timelines. Language and tone: the post highlights learning, innovation, and impact as key aspects of the engineering opportunities.

Stage PFE – Développement Java (Spring Boot / Angular)

Teamsyst • Tunis

Présentiel4-6 moisExpire dans 13 jours

Présentation Offre de Stage PFE en Développement Java avec Spring Boot et Angular. Destiné aux étudiant(e)s de niveau Bac+5 en Informatique ou Génie Logiciel. Compétences & Technologies Technologies attendues : Java, Spring Boot, Angular. Niveau requis : étudiant(e) Bac+5 en Informatique / Génie Logiciel. Qualités recherchées Qualités évoquées : curiosité, esprit analytique, rigueur technique. Poste orienté vers des personnes avec appétence pour le développement logiciel et la qualité technique. Modalités & Localisation Localisation : Tunis. Durée indiquée : 5–6 mois (déclaré) — classée ici en 4-6 months. Candidature Pour postuler : envoyer candidature à jobs@teamsyst.com. Email de contact : jobs@teamsyst.com

Stage PFE – Ingénieur IoT & Intelligence Artificielle appliquée à l’Agriculture

Teamsyst • Tunis

Hybride4-6 moisExpire dans 13 jours

Contexte Dans le cadre de la digitalisation du secteur agricole, participation au développement d’un système IoT intelligent. Objectif : monitorer et optimiser les paramètres environnementaux d’une ferme (température, humidité, qualité du sol, etc.). Missions principales Développer une plateforme IoT de collecte et transmission de données. Programmer des cartes Arduino ou microcontrôleurs similaires et implémenter des protocoles IoT (MQTT, LoRa, WiFi…). Concevoir une application web pour la visualisation en temps réel et développer des modèles d’analyse prédictive / IA. Profil recherché & Compétences Élève ingénieur(e) intéressé(e) par l’IoT, les systèmes embarqués et l’IA, avec bonne autonomie et goût pour l’innovation. Compétences souhaitées listées : Arduino / microcontrôleurs, capteurs IoT, développement web, Python & Machine Learning. Modalités & Démarrage Durée indiquée : 6 mois (déclaré) — début prévu début décembre 2025. Type : Stage de fin d’études (PFE). Candidature Pour postuler : envoyer candidature à jobs@teamsyst.com. Email de contact : jobs@teamsyst.com

3TOPIC DEVELOPMENT OF PROCESS MANAGEMENT TOOL PFE

habemus! Solutions •

Présentiel4-6 moisExpire dans 13 jours

Project overview Développement d'une plateforme web interne dédiée à la gestion des processus, centrée sur un outil d'Estimation des Efforts et de Facturation. Objectif principal : obtenir de hautes performances et une expérience utilisateur fluide et intuitive via une architecture optimisée et un design d'interface soigné. Extension optionnelle : implémentation de fonctionnalités pilotées par l'IA pour soutenir le recrutement et les opérations RH (automatisation intelligente, suggestions, priorisation). Technologies et compétences attendues Stack technique : Next.js, React, Node.js, PostgreSQL, Microsoft SQL Server, Prisma, Tailwind CSS. Compétences en UI/UX optimization et workflow design pour concevoir des interfaces conviviales et des parcours utilisateurs efficaces. Connaissances en optimisation des performances (front-end et back-end), intégration de bases de données et gestion de migrations. Responsabilités et tâches principales Concevoir et implémenter l'architecture front-end (Next.js + Tailwind) et back-end (Node.js + Prisma) de l'outil d'Estimation des Efforts et de Facturation. Intégrer et synchroniser les données entre PostgreSQL et Microsoft SQL Server selon les besoins du projet. Optimiser la performance de l'application (chargement, rendu, requêtes) et améliorer l'ergonomie des interfaces. Rédiger la documentation technique, tests fonctionnels et guides de déploiement. (Option) Rechercher et prototyper des modules IA pour automatiser des tâches RH/recrutement : extraction de CV, suggestions de candidats, priorisation des profils. Livrables attendus Plateforme web interne fonctionnelle offrant estimation d'effort et facturation avec interfaces front-end optimisées. Documentation technique complète (architecture, schéma BD, API, instructions de déploiement) et jeu de tests. Rapport de performance et recommandations d'amélioration. Prototype démontrant les fonctionnalités IA optionnelles (si implémentées). Modalités pratiques et candidature Lieu : Tunis (présentiel attendu), durée : 6 mois (4-6 months), stage rémunéré. Pour postuler, envoyer CV et lettre de motivation à career@habemus.com en indiquant pour l'objet : "Application 3TOPIC - DEVELOPMENT OF PROCESS MANAGEMENT TOOL PFE". Adresse mail pour candidature : career@habemus.com

4 Design and Prototyping of a Microcontroller-Based Motor Driver Board PFE

habemus! Solutions •

Présentiel4-6 moisExpire dans 13 jours

Project Overview Design and development of a PCB integrating a microcontroller-based control unit, a regulated power supply, and a DC motor driver stage. System goals: ensure stable power distribution, enable precise control of motor speed and direction, and provide input/output interfaces for monitoring and command. Location: Tunis. Duration: 6 months. Remunerated position. Scope & Objectives Full project lifecycle: schematic design, PCB layout, component selection, prototype assembly, and functional testing to validate performance and reliability. Ensure compliance with design specifications and electrical constraints for power electronics and motor control. Implement interfaces for monitoring (measurements/feedback) and command (control signals, communication with microcontroller). Tasks & Activities Design power electronics including regulated power supply and DC motor driver stage; simulate critical parts (e.g., using LTSpice) and verify thermal/electrical behaviour. Develop microcontroller firmware for motor control (speed/direction), implement control algorithms and I/O handling (Embedded-C preferred). Perform PCB layout using Altium Designer, select components, assemble prototype, and run functional and reliability tests on the assembled board. Required Skills & Tools Electronics: power electronics, analog/digital electronics, PCB design and component selection experience. Software/Tools: Altium Designer, LTSpice; firmware experience in Embedded-C is preferred. Practical skills: prototyping, soldering/assembly, measurement and debugging of motor drivers and power supplies. Deliverables & Validation Completed PCB design files (schematics and Gerbers), assembled prototype board, and documented bill of materials. Firmware source code and documentation for motor control; test reports demonstrating performance, stability, and compliance with specifications. Application To apply, send your CV and a brief cover note to career@habemus.com. Use the subject line: "Application: 4 - Design and Prototyping of a Microcontroller-Based Motor Driver Board PFE". Contact email (plain): career@habemus.com

1 Intelligent Energy Management System (EMS) for Smart Homes PFE

habemus! Solutions •

Présentiel4-6 moisExpire dans 13 jours

Overview This thesis explores the development and evaluation of AI-driven smart control strategies for residential energy systems integrating solar panels, battery storage, and the electrical grid. Focus areas include optimizing energy costs, maximizing solar self-consumption, and extending battery lifespan using advanced AI techniques. Technologies & Techniques Primary technologies: Python, TensorFlow, PyTorch, Stable-Baselines3. Core techniques: Neural Networks, Reinforcement Learning, Rule-based control, and Optimization; rule-based and optimization-based methods will be used as benchmark baselines. Objectives & Research Tasks Design and implement AI-driven control strategies (including RL-based controllers) to manage PV generation, battery charging/discharging, and grid exchange to minimize cost and maximize self-consumption. Compare proposed AI approaches against rule-based and optimization-based baselines; evaluate on metrics such as cost savings, self-consumption ratio, and battery degradation/lifetime impact. Expected Deliverables A working EMS prototype (simulation and/or real-data experiments) implementing the proposed AI strategies and baseline methods. Experimental evaluation reports, codebase (Python) using TensorFlow/PyTorch and Stable-Baselines3, and a written thesis documenting methodology, experiments, and results. Candidate Profile & Skills Good programming skills in Python and familiarity with machine learning frameworks (TensorFlow or PyTorch); experience with RL libraries (Stable-Baselines3) is a plus. Background in control systems, energy systems, or optimization is desirable; ability to work with simulation environments and time-series energy data. Logistics & Application Location: Sfax. Duration: 6 months (remunerated). To apply, send your CV and a brief motivation letter to career@habemus.com specifying the internship topic number in the email subject.

2 Evaluation of GNSS for outdoor positioning solutionS PFE

habemus! Solutions •

Présentiel4-6 moisExpire dans 13 jours

Project overview This thesis examines the development and optimization of a high-precision outdoor positioning system based on the Global Navigation Satellite System (GNSS), enhanced with Real-Time Kinematic (RTK) corrections. Enhancements to an existing architecture will include Inertial Measurement Unit (IMU) integration and algorithmic optimizations, aiming to improve positioning accuracy, system responsiveness, and overall performance, targeting an embedded platform. Required skills & technologies Embedded-C programming and development for microcontrollers (experience with STM32 is required). Signal Processing techniques for GNSS/IMU data fusion and RTK corrections. Main tasks & deliverables Integrate IMU sensors into the existing GNSS/RTK architecture and implement sensor fusion algorithms to improve robustness and short-term positioning accuracy. Optimize algorithms for real-time performance on an embedded STM32 platform, including profiling, memory/CPU optimization, and meeting deterministic timing constraints. Validate and evaluate system performance outdoors: measure positioning accuracy, convergence time, and responsiveness under realistic conditions; produce quantitative results and a final thesis report. Logistics & application Location: Sfax. Duration: 6 months (remunerated). To apply, send your CV and a short motivation letter to career@habemus.com with subject line: "Application: 2 Evaluation of GNSS for outdoor positioning solutionS PFE". Contact email (plain): career@habemus.com

Readdly-2026-01 Modular CRM blueprint (Microservices SaaS Platform) PFE

ReaddlyTech •

Hybride4-6 moisExpire dans 12 jours

Project overview: A highly extensible CRM built as a set of microservices, supporting client management, offers & projects tracking, activity logging, and document linking. The system exposes a unified API Gateway, integrates external product catalogs, and converts incoming emails into actionable sales leads; intended as a reusable digital foundation for B2B service companies and to evolve into an industry-ready SaaS offering. Scope & features: Core domains: Accounts & contacts, Offers & offer lines, Projects, Tasks & activities, plus document linking and activity logging. Cross-cutting features: Authentication & Roles, API Gateway, external product catalog integration, email-to-lead conversion. Technologies & tools: Frontend: React / Next.js, TypeScript, state management (Zustand or Redux). Backend & infra: NestJS microservices, PostgreSQL with Prisma ORM, Auth solutions (Keycloak / Auth0 / Azure AD - OAuth2 + OIDC), storage (MinIO / AWS S3), messaging (RabbitMQ / Kafka / Redis Streams), DevOps: Docker, GitHub Actions, API Gateway, OpenAPI. Role & responsibilities: As a Trainee Software Engineer you will implement features across the stack in a microservices architecture and contribute to API Gateway integration and auth flows. Tasks include designing/implementing backend services, frontend pages/components, integrating storage and messaging systems, and writing OpenAPI-compliant APIs and CI/CD pipelines. Candidate profile & expectations: Required skills: familiarity with TypeScript, React/Next.js, NestJS, relational databases (PostgreSQL), and basic DevOps/container tooling. Expected to learn/adapt: microservices patterns, message-driven integration (RabbitMQ/Kafka/Redis Streams), cloud/object storage (MinIO/AWS S3), and OAuth2/OIDC auth providers. Practical details & how to apply: Position type: Trainee (internship) for a 6-month engagement. To apply, send your application to the team at contact@readdlytech.com or visit https://www.readdlytech.com for more information.

Readdly-2026-051 Trainee Interactive story-based riddle game for young readers PFE

ReaddlyTech •

Hybride4-6 moisExpire dans 12 jours

Project overview: Development of a standalone web application that helps children strengthen reading and reasoning skills through visual and narrative riddles. Learners interact with playful story-based challenges and receive adaptive hints (text, image, and optional audio) to support engagement and comprehension. The solution includes a secure content management area for educators to create and manage new riddles. Scope & features: Story-driven riddle engine with progressive difficulty and tracking of learner progress. Visual and written hints to reinforce decoding and memory, plus optional Text-to-Speech (TTS) for auditory support. Admin dashboard for content creation, moderation and educator workflows; optional API to allow external EdTech platforms to use the riddle system. Required profile & responsibilities: Required profile: Software Engineer / Fullstack developer; hands-on implementation of frontend and backend components. Responsibilities include building the riddle engine, implementing adaptive hint logic, creating the secure CMS for educators, and integrating optional multimedia (TTS) and API endpoints. Technologies & deployment: Frontend: Next.js, React Query, TailwindCSS. Backend: Node.js (Express); Database: MongoDB or PostgreSQL; Auth: Firebase Auth or Auth.js. Multimedia (optional): Text-to-Speech (TTS); Deployment targets: Vercel or Render; Version control: Git / GitHub. Technical deliverables & constraints: Deliver a story-driven riddle engine with progressive difficulty, adaptive hint modalities (text, image, audio) and learner state management. Provide a secure admin dashboard for content creation and moderation, privacy- and child-safety-aware authentication and data storage, plus an optional API for integration with external EdTech platforms. How to apply: Apply via the company website: https://www.readdlytech.com Or send your application to contact@readdlytech.com with the subject line specified below.

Readdly-2026-02 AI-powered sentiment & conversational companion for learners PFE

ReaddlyTech •

Hybride4-6 moisExpire dans 12 jours

Résumé du projet Développement d'une application mobile qui analyse l'état émotionnel des apprenants à partir de leurs retours écrits. Fournir une assistance conversationnelle en temps réel adaptée aux besoins émotionnels et pédagogiques des apprenants. Combinaison d'analyse de sentiment et d'un chatbot éducatif intelligent (LLM) pour améliorer la motivation, réduire la frustration et personnaliser l'accompagnement. Périmètre et responsabilités Détection des émotions et du sentiment dans les feedbacks des apprenants (preprocessing, annotation, entraînement et évaluation de modèles). Conception et intégration d'un assistant conversationnel adaptatif basé sur des LLM (dialogue contextuel, gestion des états émotionnels, personnalisation des réponses). Recommandation de stratégies d'adaptation et de conseils d'apprentissage basés sur l'état émotionnel détecté. Conception d'un tableau de bord de suivi des progrès pour mesurer l'engagement émotionnel et le bien-être des apprenants. Technologies & outils Back-end & ML: Python, HuggingFace Transformers, FastAPI, LangChain. Bases de données: MongoDB / PostgreSQL. Front-end & mobile/web: React / Next.js. Déploiement & gestion: Docker, Git/GitHub. Profil recherché et détails pratiques Profil demandé: Software Engineer. Durée: 4 months (indiqué dans l'annonce). Nombre de postes: 1 to 2 Trainees. Pour postuler: envoyer votre candidature par email à contact@readdlytech.com ou postuler via le site officiel: https://www.readdlytech.com.

Readdly-2026-031 Text-to-visual learning assistant for children with reading difficulties PFE

ReaddlyTech •

Hybride4-6 moisExpire dans 12 jours

Overview Projet de développement d'une application d'apprentissage visuel pilotée par IA destinée aux enfants ayant des difficultés de lecture (dyslexie) ou des défis d'apprentissage du langage. L'objectif est de convertir des mots complexes ou abstraits en images signifiantes afin d'aider la compréhension et la mémorisation du vocabulaire. Scope & Features Détection automatique du vocabulaire complexe via des techniques de NLP pour identifier les mots à illustrer. Association d'images basée sur l'IA : génération ou récupération d'illustrations pertinentes (utilisation de modèles CLIP / BLIP ou d'APIs de recherche d'images). Interface d'apprentissage visuel comprenant fiches-mots, aperçus d'images et prononciation audio. Dictionnaire personnalisable pour enseignants, parents et orthophonistes permettant d'ajouter, valider ou modifier associations mot-image. Option mode hors-ligne pensée pour un usage en classe sans connexion continue. Responsabilités du stagiaire Concevoir et implémenter la détection automatique de vocabulaire complexe (module NLP) et lier les sorties aux modules d'images. Intégrer ou interfacer des modèles CLIP/BLIP via HuggingFace et/ou APIs de récupération d'images pour l'association mot-image. Développer l'interface utilisateur (fiches mots, previews d'images, lecture audio) et la logique de dictionnaire personnalisable. Prototyper et tester un mode hors-ligne (caching, synchronisation) adapté à l'environnement scolaire. Profil requis Profil recherché : Software Engineer (stagiaire) disponible pour 4 mois. Compétences attendues : Python (expérience avec CLIP/BLIP et HuggingFace), développement backend (FastAPI ou Nest.js) et frontend/mobile (React Native ou Next.js). Connaissances en bases de données (MongoDB), conteneurisation (Docker) et gestion de versions (Git/GitHub). Technologies & Outils Langages/Libs : Python, CLIP/BLIP via HuggingFace. Backend : FastAPI / Nest.js. Frontend / Mobile : React Native / Next.js. Base de données : MongoDB. Infrastructure : Docker, Git/GitHub. Candidature Référence du projet : Readdly-2026-031 — poste ouvert pour 2 stagiaires. Pour postuler, contacter : contact@readdlytech.com ou visiter le site de l'entreprise : https://www.readdlytech.com.

Readdly-2026-141 Trainee Secure exam mode for mobile learning applications PFE

ReaddlyTech •

Hybride4-6 moisExpire dans 12 jours

Project overview: Develop a secure assessment mode for an educational mobile app that allows students to take exams without distractions and without leaving the application environment. Aim to improve academic integrity while preserving user privacy and ensuring a smooth learning experience. Scope & core features: App-level restricted navigation: prevent module switching during an exam and disable non-authorized features while the exam is active. Local encrypted data storage and offline submission: securely store answers locally when offline and submit/synchronize results when connectivity is restored. Teacher/administrator dashboard: schedule, launch, and monitor exams (real-time monitoring and basic analytics for invigilation). Adaptive exam session recovery: robust recovery and continuation of exam sessions after connectivity loss, with conflict resolution when syncing. Technical stack & tools (suggested): Mobile app: React Native / Expo; local storage options: Secure Storage, SQLite, IndexedDB where applicable. Backend / API: Node.js with Fastify or NestJS; databases: MongoDB or PostgreSQL; Auth: Firebase Auth or Auth.js. Deployment & tooling: Render / Railway / Vercel for deploys; Git + GitHub for version control. Responsibilities & candidate profile: Required profile: Full-Stack Developer 25 (implement front-end mobile features and backend APIs, ensure secure storage and synchronization flows). Tasks include designing the restricted-navigation UX, implementing encryption for local storage, building APIs for scheduling/monitoring exams, and ensuring reliable offline-first behavior. Additional responsibilities: integrate authentication, implement server-side monitoring endpoints for teachers/administrators, write tests, and document recovery/sync strategies. Deliverables & evaluation criteria: A functioning React Native prototype with exam-mode restrictions and offline encrypted storage. Backend endpoints and a basic teacher/administrator dashboard to schedule and monitor exams. Demonstrated adaptive session recovery after connectivity interruptions and secure submission flow. How to apply: Apply via the company website: https://www.readdlytech.com Or send your application by email to contact@readdlytech.com with the subject "REF: Readdly-2026-141 Trainee Secure exam mode for mobile learning applications Application".

REF: Readdly-2026-131 Trainee Intelligent legal document assistant PFE

ReaddlyTech •

Hybride4-6 moisExpire dans 12 jours

Project overview Design and implementation of an AI-powered LegalTech application that extracts key information from legal documents (contracts, clauses, agreements) and automates generation of customizable legal drafts. The system combines OCR, NLP and LLM reasoning to help lawyers, startups, and SMEs review, summarize, and produce compliant legal documents faster and with fewer errors. Scope & responsibilities Implement OCR & parsing workflows for scanned legal PDFs and build robust document ingestion pipelines. Develop automatic extraction of entities (names, roles, dates, amounts, obligations) and pipeline components for AI-powered contract and summary generation. Build a legal conversational assistant leveraging RAG (retrieval-augmented generation) and a knowledge base to support lawyer queries and document exploration. Create a web interface tailored to lawyers, startups & SMEs and integrate backend, database, and deployment components for production readiness. Technologies & tools AI / NLP: Python, LangChain, OpenAI / Ollama, spaCy, Sentence Transformers for embedding, retrieval and LLM orchestration. OCR: PDFPlumber, Tesseract OCR for scanned PDF parsing and structured text extraction. Backend & frontend: FastAPI / Django REST for APIs; Next.js / React for the user interface. Database & deployment: PostgreSQL / MongoDB for storage; Docker with Vercel / Render for deployment. Required profile Position: Full-Stack Developer with interest/experience in AI, NLP and LegalTech product development. Expected skills: practical experience with Python-based NLP stacks, familiarity with OCR tooling, frontend development (React/Next.js), building REST APIs and working with SQL/NoSQL databases; ability to integrate LLMs and retrieval pipelines. Soft skills: ability to collaborate with legal domain experts, translate legal requirements into technical specifications, and document implementation details. How to apply To apply, send your application to contact@readdlytech.com with the subject line: "Application - REF: Readdly-2026-131 Trainee Intelligent legal document assistant PFE". You may also apply via the company website: https://www.readdlytech.com. Include CV, brief description of relevant projects (NLP/OCR/Full-Stack), and links to code or demos if available.

REF: Readdly-2026-121 Trainee AI-powered applicant tracking & smart recruitment platform (ATS) PFE

ReaddlyTech •

Hybride4-6 moisExpire dans 12 jours

Présentation du projet Développement d'une plateforme intelligente de recrutement et de gestion des candidats (ATS) visant à automatiser et simplifier les processus RH. Objectifs : parsing automatique des CV, matching sémantique candidat-offre, suivi des entretiens et production de tableaux de bord / rapports. Périmètre & fonctionnalités attendues Multi-role authentication : interfaces et permissions pour HR managers, Recruiters et Candidates. Smart CV parsing : extraction automatisée des compétences, expériences et certifications depuis PDF/Docs. Matching sémantique entre offres et candidats via embeddings et modèles NLP. Planification des entretiens, suivi de progression et export de rapports (PDF / Excel). Tableaux de bord des KPI de recrutement et optionnel : assistant chatbot pour le screening des candidats. Profil requis & compétences techniques Profil recherché : Software Engineer (Trainee) avec intérêt pour l'IA/NLP et le développement full-stack. Frontend : Next.js, TailwindCSS. Backend : NestJS ; Base de données : PostgreSQL avec Prisma ORM. AI / NLP : Python (spaCy, Hugging Face, Sentence Transformers), LangChain ; parsing de fichiers : PDFPlumber. Déploiement : Railway, Render, AWS ou Docker. Modalités de candidature Pour postuler, envoyer votre candidature en mentionnant la référence du projet dans l'objet de l'email. Email de contact : contact@readdlytech.com Site web de l'entreprise : https://www.readdlytech.com

REF: Readdly-2026-081 to 2 Trainees Smart production counter & OEE analytics PFE

ReaddlyTech •

Hybride4-6 moisExpire dans 12 jours

Overview Projet: Smart production counter & OEE analytics — plateforme IoT qui suit la production en temps réel à l'aide de cartes/senseurs connectés. Scope attendu: firmware pour device IoT + compteur de production, dashboard de monitoring temps réel, rapports OEE (Availability, Performance, Quality), documentation et scénario de test industriel. Missions / Livrables Développer le firmware pour les dispositifs Edge (ESP32/Arduino) pour comptage automatisé, tracking des arrêts et transmission des événements (RFID/QR/BLE). Mettre en place un dashboard temps réel avec fonctions de monitoring et génération de rapports OEE (Availability, Performance, Quality) exploitable par l’atelier. Produire la documentation technique complète et exécuter un scénario de test industriel pour validation en conditions réelles. Architecture & Technologies Hardware/Edge: ESP32 / Arduino / RFID / QR / BLE pour la collecte de comptages et états machine. Communication et backend: MQTT / WebSockets, Node.js / NestJS, base de données PostgreSQL/TimescaleDB (InfluxDB optionnel), broker MQTT. Dashboard & déploiement: Next.js, TailwindCSS, Recharts pour la visualisation; déploiement via Docker (et broker MQTT dédié). Profil requis Compétences IoT/embedded: expérience avec ESP32/Arduino, communication MQTT/BLE et conception de firmware embarqué. Compétences full-stack: développement backend en Node.js/NestJS, bases de données temporelles (TimescaleDB/InfluxDB), et frontend React/Next.js pour dashboards. Autonomie pour rédiger documentation, définir scénarios de test industriel et conduire tests sur site. Comment postuler Envoyer candidature en mentionnant la référence du projet et votre disponibilité pour un PFE de 6 mois. Par email: contact@readdlytech.com Site entreprise: https://www.readdlytech.com

Readdly-2026-091 Intelligent vulnerability scanner & risk dashboard PFE

ReaddlyTech •

Hybride4-6 moisExpire dans 12 jours

Project overview Plateforme qui scanne réseaux et applications web pour identifier des vulnérabilités en s'appuyant sur des outils automatisés (Nmap / OWASP ZAP). Objectif : classifier les risques avec un modèle AI entraîné sur un dataset CVE et fournir des recommandations de remédiation via un dashboard moderne. Nombre de postes : 2 trainees. Scope & livrables Scanner de vulnérabilités automatisé intégrant Nmap et OWASP ZAP pour la collecte de données de tests. Classificateur de risque basé sur l'IA (entraîné sur dataset CVE) pour prioriser les vulnérabilités détectées. Dashboard de sécurité moderne avec génération de rapports PDF et scénarios de démonstration attaque/mitigation. Documentation complète du projet et démonstration opérationnelle. Technologies & outils Backend : Python (FastAPI), JWT Auth, intégrations API (Shodan API, OWASP ZAP API), stockage : MongoDB ou PostgreSQL. Scanning & sécurité : Nmap, OWASP ZAP ; génération de rapports PDF depuis le backend. Frontend : React / Next.js pour le dashboard interactif et la visualisation des risques. Data/AI : entraînement du classificateur sur dataset CVE, traitement et normalisation des résultats de scan. Profil requis Étudiant(e) en ingénierie cybersécurité ou équivalent avec appétence pour le développement et la sécurité offensive/défensive. Compétences attendues : Python, connaissances en scanners (Nmap / ZAP), notions de bases de données (MongoDB/PostgreSQL), et familiarité avec React/Next.js appréciée. Durée du stage : 4 à 6 mois. Candidature Pour postuler : site web : https://www.readdlytech.com Envoyer votre candidature par email à contact@readdlytech.com en précisant l'objet du mail. Sujet recommandé : "REF: Readdly-2026-091 Trainee Application".

REF: Readdly-2026-111 Trainee Smart retail insights platform: Real-Time analytics for small businesses PFE

ReaddlyTech •

Hybride4-6 moisExpire dans 12 jours

Project overview: Develop a modern web analytics platform to help small and medium retail businesses analyze sales, customer behavior, and operational performance in real time. Aim to bring enterprise-level Business Intelligence to local retailers that currently lack decision-support tools. Scope & responsibilities: Implement real-time analytics for revenue, best-selling products, conversion rates, and customer metrics. Build data import pipelines from POS systems, CSV/Excel exports, Google Sheets and manual entry interfaces; support PDF & Excel report exports for managers. Integrate AI-assisted insights including trend forecasting and anomaly detection (sales drops/spikes) and product performance alerts. Technologies & tools: Frontend: Next.js, TailwindCSS, Recharts / ECharts for interactive dashboards. Backend & data: NestJS, Supabase (PostgreSQL) for storage; AI/forecasting using Prophet and scikit-learn. Deployment & infrastructure: Docker, Vercel / Render; version control with Git + GitHub. Profile & requirements: Required profile: Full-Stack Developer (candidate level indicated: 22). Experience or strong interest in web applications, data ingestion, dashboards, and basic machine learning/forecasting techniques. How to apply: Apply online or contact the team for this specific project using the company website or by email. Email: contact@readdlytech.com (use the subject line specified below when applying).

Readdly-2026-101 Trainee Custom e-learning platform for private schools PFE

ReaddlyTech •

Hybride4-6 moisExpire dans 12 jours

Overview Design and development of a customizable mobile learning platform targeted at private schools and training centers. The platform includes interactive lessons, video courses, quizzes, exercises and student performance tracking to improve learning outcomes. Scope & Key Features Mobile learning app: courses, videos, quizzes, exercises and secure media storage for educational videos/documents. Student progress tracking: scores, time spent, skills mastered; teacher dashboard with analytics and class management. Push notifications for reminders and homework; optional AI tutoring assistant for recommendations and feedback. Technologies & Tools (listed in the project) Frontend / Mobile: React Native. Backend & services: Node.js, Firebase Auth, PostgreSQL / MongoDB, AWS S3, Firebase Cloud Messaging, Git / GitHub, AWS. Required Profile & Duration Required profile: Software Engineer. Expected duration: 6 months (mapped to 4-6 months internship). How to apply To apply, send your application referencing this offer and include your CV and relevant portfolio or GitHub links. Email: contact@readdlytech.com and you can also visit the company site: https://www.readdlytech.com