Rémi Domingues is a Senior Machine Learning Engineer with 12 years of experience building production-grade ML systems, currently leading efforts at Meta from his base in Antibes, France. He combines deep academic rigor—a PhD in Machine Learning—with hands-on expertise in time-series forecasting, unsupervised anomaly detection and interpretable classification across companies like Amadeus, Linxo and SAP Labs. Rémi has led and mentored data science teams, deployed scalable models with MLFlow, Docker and Kubernetes, and operationalized ML in cloud environments including AWS SageMaker. His background spans both research (GANs, deep Gaussian processes) and pragmatic engineering (distributed Spark pipelines, microservices), enabling him to bridge innovation and reliable production delivery. Notably, he has repeatedly translated unsupervised research into fraud and transaction-enrichment products, showing a knack for turning complex probabilistic models into tangible business value.
12 years of coding experience
5 years of employment as a software developer
Master’s Degree, Computer Engineering, Master’s Degree, Computer Engineering at Institut National des Sciences Appliquées de Lyon - INSA
French Scientist Baccalaureat, English-language European section, Mathematics, Physics Biology, First class honours, French Scientist Baccalaureat, English-language European section, Mathematics, Physics Biology, First class honours at Chaptal High School
Master’s Degree, Machine Learning, Master’s Degree, Machine Learning at KTH Royal Institute of Technology
Doctor of Philosophy (Ph.D.), Machine Learning, Doctor of Philosophy (Ph.D.), Machine Learning at Sorbonne Université
Associate’s Degree, Computer Science, First class honour - Top in class, Associate’s Degree, Computer Science, First class honour - Top in class at Institut Universitaire de Technologie (IUT) de Clermont-Ferrand
Contributions:37 commits, 14 pushes, 1 branch in 1 month
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Rémi Domingues - Senior Machine Learning Engineer at Meta