Description

I have deployed numerous machine learning projects in production at scale (Renault, Jellysmack, Chanel, Adventure Conseil, Easyrecrue...). Always happy to start a new project from scratch, as well as joining an ongoing project. I love working on impactful projects. I am also used to lead small teams, mentor junior, hire new employees.

My stack was mostly the following:

- Python language and usual libraries (numpy, pandas...)

- Tensorflow or Pytorch for the deep learning

- scikit-learn for the machine learning

- OpenCV for the image processing

- Flask for API, sometimes Airflow for job scheduling

- AWS cloud (S3, EC2, load balancer, autoscaler, Sagemaker)

- Docker

- Github actions for CI/CD

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 20km)

Sanofi
Senior Machine Learning Engineer
HEALTH AND WELLNESS
July 2025 - Today (11 months)
Paris, France
Worked on applied ML and GenAI products turning large volumes of unstructured enterprise data into usable, AI-powered experiences at Sanofi GenAI team:
- Designed and built an end-to-end unstructured data pipeline for documents (PDF, DOCX, XLSX, PPTX, etc.)
- Developed multi-stage processing including content extraction, dynamic metadata generation, semantic vectorization, and indexing into vector databases
- Applied LLMs and VLMs to enrich, structure, and make enterprise documents queryable at scale
- Delivered systems running on AWS and processing millions of documents
- Built reusable GenAI agent templates using AWS Bedrock for internal product teams
- Developed and deployed multiple production agents (e.g. Confluence assistants, research publication discovery and analysis via APIs)
- Implemented evaluation tools for agents using Weave
- Worked closely with product, research, and platform teams to turn ML capabilities into concrete internal products
AWS Machine learning LLM AI Agents
Prose
Head of AI
FASHION AND COSMETICS
November 2024 - June 2025 (7 months)
Paris, France
Led the AI team powering Prose’s core personalization engine across haircare and skincare:
- Maintained and improved ultra-personalized formula computation, generating near-unique products for each customer
- Updated large-scale product recommendation systems
- Operated systems handling hundreds of thousands of AI-driven requests per day
- Defined AI roadmap aligned with a ~$200M/year revenue business
- Drove A/B testing, analytics, and data-informed product decisions
- Increased team velocity through simplification, tooling, and process improvements
- Acted as an internal AI evangelist, working closely with Product, Tech, and Business teams
- Partnered directly with C-level executives through regular 1:1s and leadership forums
Machine learning Python algorithme
CHANEL
Senior Machine Learning Engineer
LUXURY GOODS
October 2022 - November 2024 (2 years and 1 month)
Member of the Connected Experience Lab, creating memorable digital experiences:
- Creation of in-house fiducial tag and real-time decoding algorithm; deployment in web browser (Javascript/TensorflowJS)
- Instance segmentation and depth estimation based experience with Pytorch using SOTA models (e.g. SAM, ControlNet...), hybrid deployment on edge and cloud
- Development of LLM-based internal training app for beauty consultants
Python Pytorch Deep Learning Docker OpenCV

Check out Vincent's experience

Thierry

Thierry Templier

Reviewed on 07/03/2019

Vincent a su mettre à profit son expertise sur le machine learning / computer vision pour réaliser le prototype. Il a été très professionnel, les intéractions ont été très bonnes, a bien su communiquer et passer les connaissances à la fin des développements. Je recommande sans hésiter Vincent pour ce type de projets.

Fabrice

M. Anthony Diard, Sweesp SAS

Reviewed on 03/12/2018

Vincent a parfaitement rempli sa mission. Bonne connaissance des outils et l'ouverture nécessaire pour comprendre nos problématiques, je retravaillerai avec lui sans hésiter !

Show all 6 reviews