Jérôme Viveret is a Senior MLOps Engineer based in the Greater Paris area with 12 years of experience building resilient backend and streaming systems. He has evolved from PHP and frontend work into large-scale data and ML production: notable stints at Criteo on marketing platform and traffic fraud detection (Flink, Kafka) and recent MLOps and generative-AI model deployment at Onfido. Comfortable across SRE, telemetry, and backend development, he blends operational rigor with hands-on engineering to move ML from research to reliable production. A math and computer science graduate, he brings deep systems thinking informed by long-term work on fraud/traffic quality pipelines—an often-overlooked strength that makes him effective at both prevention and detection in telemetry-driven systems.
12 years of coding experience
14 years of employment as a software developer
Licentiate degree Mathématiques et Informatique, Licentiate degree Mathématiques et Informatique at Université Denis Diderot (Paris VII)
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