I am seeking a remote position where I can leverage my problem-solving skills and technical background to build scalable data and AI products. I'm looking for a culture built on trust, continuous improvement, and strong teamwork
Saïda Laribi
@saidalaribi
Junior Machine Learning Engineer, eager to apply ML skills and build practical AI solutions within a collaborative remote team.
What I'm looking for
I am a Junior Machine Learning Engineer with a Master’s degree in Computer Networks and Security. I specialize in building, training, and deploying ML and deep learning models, with hands-on experience spanning the entire pipeline—from data cleansing and feature engineering to deployment. My key projects include building an end-to-end MLOps Customer Churn prediction system using Python, XGBoost, FastAPI, and Docker, as well as developing a Deep Learning Intrusion Detection System for network security using TensorFlow and PyTorch.
Beyond AI and network security, I am deeply interested in personal development, reading, writing, and exploring new cultures. Being fluent in English, French, and Arabic, I thrive in collaborative, problem-solving environments where I can apply my technical skills to real-world software and data products.
Experience
Work history, roles, and key accomplishments
Stage Pratique Réseaux
CEVITAL - Société de Composants Industrialisés
Mar 2023 - Apr 2023 (1 month)
Conçu et sécurisé un réseau en configurant un routeur via PuTTY (interfaces, routage et sécurité) et en créant un réseau virtuel sous GNS3 avec intégration d’un pare-feu FortiGate.
Education
Degrees, certifications, and relevant coursework
Université Abderrahmane-Mira Béjaïa
Master en Informatique (Réseaux et Sécurité), Informatique Réseaux et Sécurité
2023 - 2025
Grade: 18
Activities and societies: Built an Intrusion Detection System for APT attacks in IOV based on AI(Deep Learning)
Graduated with honors
Université Abderrahmane-Mira Béjaïa
Licence en Informatique (Réseaux et Sécurité), Informatique Réseaux et Sécurité
2020 - 2023
Licence en Informatique Réseaux et Sécurité avec des bases en programmation et en modélisation orientée données. Expérience pratique en machine learning et préparation de données via des outils Python (p. ex., Scikit-Learn).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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