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Qualification
Poste
Développeur Python IA
Métier
Développement backend
Secteur d'activité
Non renseigné non renseigné
Origine
Candidature reçue
Expérience
5-10 ans
Compétences
Python, Azure, Machine Learning, GIT, Ci/Cd
Identité et contact

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Localisation
Fès
Source
Candidature ai.nextdata.ma
Déposé le
07/10/2026
CV anonyme

CV anonymisé automatiquement : nom, coordonnées et liens retirés. Les mentions entre crochets remplacent une information retirée.

NextData
Curriculum vitae anonymisé
ND-CV-D0A9DEFC

Développement backend

Fès Identité et coordonnées communiquées par NextData

[nom]

[téléphone]

[e-mail]

Tunis, Tunisia · in/[nom]

Junior AI Engineer focused on practical implementations, from data engineering to LLM-powered workflows. Experience across banking, telecom, and digital signage, building RAG systems, automation pipelines, predictive ML, and explainable AI using SHAP. Dedicated to robust data quality, production-ready REST APIs, and continuous improvement through hands-on experimentation with new AI tools.

Education

ICT Engineer's Degree - Data Science, ESPRIT - Private Higher

School of Engineering and Technology⁠

2021 – 2024 | Manouba, Tunisia

Applied License in IT - CyberSecurity, ISET'COM - Higher Institute of Communications Studies⁠

2017 – 2020 | Ariana, Tunisia

Professional Experience

Junior AI Engineer, Express Display⁠

02/2026 – Present | Ariana, Tunisia

Built a regression model predicting customer wait times, using agent throughput and working-hour patterns.

Developed an offline Edge AI vision system for real-time audience analytics, tracking, and demographic estimation.

Developing a RAG-based chatbot over Express Display's product catalogue to automate customer support.

Keywords: Scikit-learn, Feature Engineering, OpenAI, Ollama, Hugging Face, LangChain, RAG, Computer Vision, Docker

Data Scientist Intern, DeltaSoft International⁠

03/2024 – 01/2025 | Tunis, Tunisia

Extracted and transformed on-premises ERP transaction data, then engineered risk features for modeling.

Built and tuned an XGBoost regression model (R² = 0.94) and applied SHAP to explain the key drivers of client risk.

Deployed the model as a REST API in Azure ML and integrated it into Dynamics 365 for real-time scoring.

Keywords: Python, XGBoost, SHAP, XAI, SQL, SSMS, Flask, Azure ML, Microsoft Dynamics 365 Business Central, REST API

Financial Data Analyst Intern, Tunisian Saudi Bank⁠

06/2023 – 08/2023 | Tunis, Tunisia

Designed and implemented a centralized data warehouse using Microsoft SSIS to consolidate financial data

Designed secure, interactive Power BI dashboards with DAX and Row-Level Security, ensuring role-based data access for bank branch performance and KPI monitoring.

Developed and evaluated an AutoARIMA model to forecast account volumes and support predictive financial planning.

Keywords: SSIS, SQL Server, Power BI (DAX, Power Query), Excel (VBA), SSMS, Financial Analytics, Time Series Forecasting

Machine Learning Intern, Orange Tunisie⁠

07/2022 – 08/2022 | Tunis, Tunisia

Developed ARIMA & XGBoost models to predict weather impacts on telecom services, reducing downtime risks.

Improved forecast accuracy by 15% (1.10 MAE) via feature engineering and hyperparameter tuning for reliable results.

Presented findings to stakeholders, translating forecasts into actionable risk-mitigation strategies for telecom operations.

Keywords: ARIMA, XGBoost, LSTM, Time Series Forecasting, Feature Engineering, Hyperparameter Tuning, MAE, Python

Skills

AI & Generative AI: Hugging Face, RAG, OpenAI Studio, Ollama, Transformers, GNN, Prompt Engineering, SHAP, spaCy, NLTK

Machine Learning & Deep Learning: XGBoost, LightGBM, LSTM, ARIMA, TensorFlow, Keras, CNN, Scikit-learn, Feature Engineering

Software Development: Python (Pandas, NumPy, SciPy, Pydantic, PySpark), SQL, R, Java, React, Flask, REST APIs

Data Engineering & Cloud: Azure ML Studio, SSIS (ETL), SQL Server, Firebase, NoSQL (MongoDB), Docker, Kubernetes, n8n, Git

BI & Visualization: Power BI (DAX, RLS, Power Query), Tableau, SSRS, Streamlit, Plotly, Matplotlib, Seaborn, D3.js, Dash

Projects

Generative AI Recommendation System

Developed a Project Risk Management Chatbot (PMBOK/PMI guides) with Hugging Face Transformers to generate GNN-driven insights.

Data Science Project (cross-platform NLP-based application)

Developed an Automatic Detection System of email phishing attacks

Deep Learning Project (CNN Yoga Pose Classifier)

Mini-Project: Telecom Compliance & Cybersecurity Audit

Cybersecurity audit of ISET’COM resources, evaluating infrastructure risks and ensuring compliance with telecom regulatory standards.

Certificates

AI-103 : Developing AI Apps and Agents on Azure - In Progress

AI-900 Microsoft Certified: Azure AI Fundamentals - 06/2025⁠

Scrum Fundamentals Certified (SFC) by SCRUMstudy - 06/2025⁠

IBM Data Science Professional Certificate - 04/2025⁠

Building Transformer-Based NLP Applications -NVIDIA- 11/2023⁠

Applications of AI for Anomaly Detection - NVIDIA - 10/2023⁠

Natural Language Processing Specialization -Coursera- 02/2023⁠

Awards

1st Place – 2024 Riyeda Business Game (Winner)⁠

Hult Prize 2023 Global Accelerator Semi-Finalist - Lisbon⁠

2nd Place - 2022 PitchHack Hackathon - AI in Healthcare⁠

1st Place - 2020 Tunisia Open GeoDATA Hackathon⁠

Languages

English: C2 · | French: B2 · | Arabic: C2 | Spanish: A1

Interests

Photography⁠ · | Sports | Arts | GenAI | Entrepreneurship

CV anonymisé présenté par NextData · Confidentiel · contact@nextdata.ma ND-CV-D0A9DEFC

Pour être mis en relation avec ce profil, indiquez la référence ND-CV-D0A9DEFC : contact@nextdata.ma

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