Caroline Sauvegrain is an accomplished leader in Machine Learning Engineering, currently serving as the Head of Machine Learning Engineering at Preligens. With a strong academic background from institutions like ENSAE ParisTech and Télécom Paris, she has built a robust career focusing on the practical application and deployment of AI and machine learning models at scale. Her expertise spans MLOps, computer vision, and driving ML projects from research to production. Before Preligens, she made significant contributions at Criteo AI Lab as a Machine Learning Engineer and Research Scientist, working on large-scale machine learning systems. Caroline is passionate about building efficient ML systems and fostering high-performing technical teams.
Caroline Sauvegrain's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads and scales the ML Engineering department, overseeing the industrialization and deployment of AI solutions for intelligence and defense applications, focusing on MLOps best practices.
Contributed to research and development of machine learning models for computational advertising, recommendation systems, and predictive bidding, operating on petabyte-scale datasets.
Shares insights and knowledge on MLOps, machine learning deployment, and team leadership at industry conferences and events, contributing to the broader tech community.
Graduated from top-tier French engineering schools (ENSAE ParisTech, Télécom Paris) with specializations in Data Science, Statistics, and Machine Learning, providing a solid theoretical underpinning for her practical work.
ESCP Europe - Year 2012
Lund University School of Economics and Management - Year 2014
Lycée Sainte-Geneviève - Year 2010
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