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Location
Hybrid (Algiers, Algeria)
Employment
Contractor

First seen by Alion on Oct 19, 2026.

Overview
Company
Impact
Profile match
Headquartered in Algiers (Kouba), Algeria, Ouedkniss is the country’s leading online classifieds portal and e-commerce marketplace. Founded in 2006, the platform serves as the primary digital hub for peer-to-peer (C2C) and business-to-consumer (B2C) commercial transactions nationwide, hosting listings across automotive sales, residential and commercial real estate, consumer electronics, home goods, professional services, and employment opportunities. Alongside its core classifieds directory, it provides dedicated storefront solutions (Ouedkniss Stores) for retail merchants, targeted digital advertising services, and specialized automotive data platforms, positioning it among the most visited domestic web properties and digital commerce facilitators in Algeria.

### Développement de fonctionnalités IA

* Implémenter des systèmes de recherche intelligente et de traitement du langage naturel (NLP).
* Développer des moteurs de recommandation et de personnalisation.
### Traitement et exploitation des données

* Collecter, préparer et analyser les données issues de différentes sources.
* Créer des pipelines automatisés d’ingestion et de nettoyage des données.
* Définir des features pertinentes pour améliorer la performance des modèles.

### Déploiement & intégration

* Développer des microservices IA accessibles via API (REST/GraphQL).

### Optimisation continue

* Analyser les performances des modèles en conditions réelles (A/B testing, monitoring).
* Optimiser les modèles pour rapidité et scalabilité
* Mettre à jour et réentraîner régulièrement les modèles en fonction de nouvelles données.

### Collaboration et transversalité

* Travailler avec les équipes produit, data et métier pour transformer les besoins business en solutions IA.
* Documenter les solutions et accompagner les autres développeurs dans leur intégration.


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## 🛠️ Compétences techniques requises

* Langages de programmation : Python
* Frameworks IA/ML : PyTorch ou TensorFlow, Scikit-learn.
* Bases de données : SQL (MySQL, PostgreSQL), NoSQL (Elasticsearch, MongoDB, Redis).
* Big Data & traitement : Pandas, Spark.
* Pratiques de développement logiciel .
* Clean code et design patterns.
* Tests unitaires et d’intégration.
* Versionning (Git/GitHub/GitLab).

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