### **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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Ouedkniss

GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.

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Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack). 

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

GitLab offers git repository management, code reviews, issue tracking, activity feeds and wikis. Enterprises install GitLab on-premise and connect it with LDAP and Active Directory servers for secure authentication and authorization. A single GitLab server can handle more than 25,000 users but it is also possible to create a high availability setup with multiple active servers.

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.

Data Scientist/ AI Engineering

**Développement de fonctionnalités IA **

Traitement et exploitation des données

Déploiement & intégration

Optimisation continue

Collaboration et transversalité

🛠️ Compétences techniques requises

Ouedkniss

Développement de fonctionnalités IA