
Hicham ZEKRI
Senior Data Engineer | MLOps & Generative AI
Salaire / Taux journalier
78140 Vélizy-Villacoublay, France
Mobilité : Paris
Freelance
Peut venir sur site
Expertises
À propos
Introduction
Data Engineer & MLOps specialist with 3+ years driving end-to-end ML solutions at Groupe Crédit Agricole. Expert in industrializing generative AI and LLMs with automated CI/CD pipelines, achieving seamless production deployments. Skilled in Python, MLflow, and cloud infrastructure—I transform complex data challenges into scalable, production-ready AI systems with measurable performance gains.
Expérience de travail
Data / ML Engineer
Groupe Crédit Agricole
avr. 2022 - Présent
4 ans 7 mois
Paris, France
– Complete MLOps Lifecycle: Designed, implemented, and managed the entire MLOps cycle, from model conception to production, ensuring effective Continuous Integration (CI) and Continuous Deployment (CD). – Generative AI and Large Language Models (LLM): Spearheaded the industrialization of generative AI models and large language models, establishing automated pipelines for model training, evaluation, and deployment, ensuring seamless integration into the production environment. – Imagery Processing: Oversaw and executed imagery processes for data preparation, including data collection, cleaning, and transformation, ensuring high-quality datasets for models. – Performance Optimization: Collaborated closely with development teams and data scientists to optimize model performance, implementing optimization techniques and ensuring effective scalability.
Data Engineer
SARL FARIMER
juil. 2020 - nov. 2021
1 an 5 mois
Alger, Algérie
– Responsible for data migration. – Developed a stock management application using Flask (Python with PostgreSQL). – Managed ERP Odoo (added modules, updates, etc.).
Intern
Université Sorbonne Paris Nord
févr. 2020 - août 2020
7 mois
Paris Region, France
Final year internship entitled "Visualisation and analysis of multi-variate time series". Use of all new data analysis and visualisation technologies and the software development chain
Formation
UVSQ Université de Versailles Saint-Quentin-en-Yvelines
Master 2 (M2), Datascale
2021 - 2022
1 an 1 mois
ECOLE SUPERIEURE EN INFORMATIQUE 08 MAI 1945, SIDI BEL ABBES
Diplôme d'ingénieur et Master 02, Informatique
2015 - 2020
5 ans 1 mois
Licences et certifications
ICT-TAWOR
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Sequence Models
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Python basic
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Deep Learning Specialization
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Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
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Neural Networks and Deep Learning
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