
Thabet Chaaouri
Lead Machine Learning Engineer | LLM
Salaire / Taux journalier
Paris, France
Freelance, ouvert au CDI
Peut venir sur site
Expertises
Langues
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.
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