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Zakaria M.ZM

Zakaria M.

AI engineer

€480/day
Paris, FR
3-7 years

Average response time: 1 hour

About Zakaria

🧠 Ingénieur IA | Profil Polyvalent et Orienté Résultats
Ingénieur diplômé de CentraleSupélec en intelligence artificielle et titulaire d’un Master2 en mathématiques et informatique de l’Université de Lorraine, je conçois et développe des solutions intelligentes alliant scalabilité logicielle et performance algorithmique.

🔍 Avec plusieurs expériences réussies en tant que Software Engineer, Data Scientist et Machine Learning Engineer (Air France, Bouygues Telecom, Deloitte, etc.), j'interviens sur toute la chaîne de valeur data :

Développement de pipelines et d’APIs robustes (Python, FastAPI, Spark, SQL)

Modélisation machine learning & deep learning (XGBoost, PyTorch, TensorFlow)

Mise en place d’infrastructures cloud scalables (AWS, Azure, Docker)

Exploration de cas d’usage LLM / NLP (agents conversationnels, recherche sémantique)

Optimisation sous contrainte et scheduling

🧩 J’ai récemment développé un agent conversationnel de matching emploi combinant vector search, LLM (GPT-4) et RAG.

💬 Curieux, autonome et orienté impact, je cherche à collaborer avec des équipes tech et produit ambitieuses sur des missions à forte valeur ajoutée (ML, NLP, backend, R&D appliquée...).

📩 Discutons de vos enjeux !
  • French

    Native or bilingual

  • English

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • AIR FRANCE
    Software Engineer
    January 2024 - Today (2 years and 5 months)
    Paris, France
    • Optimized flight schedules to balance revenue and operational constraints using C++ and custom heuristics.
    • Reduced computation time by 60% through algorithmic improvements.
    • Designed and automated end-to-end testing pipelines with GitHub Actions and PyTest.
    Gurobi C++ Project Management GitHub Python
  • Bouygues Telecom
    Data Scientist intern
    May 2023 - November 2023 (6 months)
    Meudon, France
    • Developed a machine learning model to predict the success or failure of direct debit transactions, using historical payment data and customer behavior and enhanced the data pipeline by engineering new features and eliminating redundant ones.
    • Developed a business-focused PoC, resulting in greenlight from senior management.
    • Contributed to a 10% improvement in debt recovery and a reduction in churn rate.
    Machine learning Data Engineer Python Scikit-learn Data science
  • VPDive
    Deep Learning Engineer
    December 2022 - April 2023 (4 months)
    • Developed computer vision models (Faster R-CNN, PyTorch) to detect marine species (85% accu racy).
    • Managed annotation pipeline using Label Studio and applied data augmentation techniques to reduce overfitting.
    • Used AWS (EC2, S3) for scalable training and inference.
    Deep Learning Amazon Web Services Pytorch Python

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Education

  • Diplôme d'ingénieur, Mathematics, Statistics and Computer Science
    CentraleSupélec
    2023
    Diplôme d'ingénieur, Mathematics, Statistics and Computer Science
  • Classes préparatoires scientifiques( Mpsi/Mp)
    Lycée Mohammed VI d'Excellence
    2019
    Classes préparatoires scientifiques( Mpsi/Mp)

Skill set

Categories