Thabet Chaaouri

Lead Machine Learning Engineer | LLM

Salaire / Taux journalier

Paris, France

Freelance, ouvert au CDI

Peut venir sur site

Expertises

Machine LearningPythonData ScienceGestion de projet - PMOGitHubScrumConfluenceJiraProject OwnerData AnalysisIAAWSDeep LearningData EngineeringKerasFlaskPostgreSQLGitGitLabRESTful APIsLLMs / Large language modelsNumPypandasTensorFlowBig DataETLscikit-learnPyTorchGoogle Cloud PlatformMySQLProduct ManagementRequêtes SQLTerraformGoogle BigQueryDesign Thinking

Langues

AnglaisArabeEspagnolFrançais

À propos

Introduction

Lead ML Engineer with 6+ years developing AI solutions for media and enterprise clients. Specialized in LLM fine-tuning, transformer models, and end-to-end ML systems at France Télévisions. Expert in generative AI, churn prediction, and RAG implementation - delivering intelligent tools that drive business impact.

Liens

Expérience de travail

France Télévisions

sept. 2020 - Présent

6 ans 2 mois

Paris, France

Lead Machine Learning Engineer

sept. 2023 - Présent

3 ans 2 mois

Paris, France

Leading the delivery and deployment of ML solutions at scale in FTV’s production environments : • Led a team of 2 data engineers and 1 ML engineer to deliver production-grade AI solutions. • Scaled an open-source Speech-to-Text solution across France Télévisions, enabling automatic transcription for newsrooms and archives. • Delivered transcription and translation workflows that supported FTV’s exclusive coverage of the Paris 2024 Olympics. • Designed and deployed end-to-end support chatbots and autonomous agents using LLMs, LangGraph, and Langfuse (for monitoring), deployed via Kubernetes in secure environments.

Senior Machine Learning Engineer

sept. 2020 - sept. 2023

3 ans 1 mois

Paris, France

Developing intelligent tools tailored to the needs ofofnewsrooms : • Collaborated with journalists to understandunderstandnewsroom challenges and designed ML solutions accordingly. • Developed end to end ML demos to showcase solutions to business stakeholders • Designed a topic modeling pipeline ( using Bertopic ) on FTV news stories to promote collaboration between journalists across different newsrooms. • Integrated AI solutions to: - support fact checkers in “Fake News” detection by implementing an image similarity system and deep learning models to detect Deep Fakes. - Improve archiving workflows with STT models. - Automate music authorship declaration via a music recognition system • Experimented with fine tuning opensource LLMs for various use cases (News recommendation , Support,…)

Co founder & chief data scientist

Loopstr.aiFreelance

sept. 2019 - oct. 2020

1 an 2 mois

Paris, France

Loopstr is a predictive customer engagement SaaS that helps subscription-based businesses boost customer success and prevent churn. Our platform seamlessly integrates with your online customer data and provides you with prediction, reporting, and automation features designed to assist your teams in focusing on customer engagement and retention.

Data Analyst

Total

sept. 2018 - oct. 2019

1 an 2 mois

92000 Nanterre, France

Assist the “Marketing and Commercial” department in making decisions about fuel prices with refined KPIs : - Implementation of ETL pipelines / Data quality evaluation using Python and Pandas. - Design of dashboards using the Power BI tool

Data Analyst, Busienss Intelligence

CTM groupe

janv. 2018 - juil. 2018

7 mois

Brest, France

Design of a decision-making information system Business Intelligence project, IMT Atlantique & CGTR - Adopt a Scrum method with several sprints to collect customer needs. - Define KPIs : number of consultations, turnover, speed of interpretation, availability of radiologists,… - Identify the sources of required data - Proceed to the ETL process with Talend - Develop dashboards using Tableau Software to show the value of teleradiology consultations.

Data Scientist

SUP'COM

juin 2017 - août 2017

3 mois

Tunisie

Leveraged PySpark and its machine learning libraries, including MLlib and ML packages, to develop a churn prediction model. This involved data preprocessing, feature engineering, and model training to help the company proactively identify and retain at-risk customers.


Formation

Telecom Bretagne

General engineering with a data science speciality

2017 - 2019

3 ans

IMT Atlantique

Master's degree in computer science

2017 - 2019

3 ans

SUP'COM

Telecommunications engineer

2015 - 2017

3 ans

Le meilleur endroit pour trouver votre prochaine opportunité

© 2026. Tous droits réservés.