Grégory Vial is an experienced ML & MLOps engineer with a decade of experience delivering machine learning solutions and leading international virtual teams. Currently building AI-driven systems for smarter cars at BDR THERMEA FRANCE, he blends hands-on data science with production-focused MLOps practices. His background spans automotive and enterprise contexts—most notably four years as a Machine Learning Engineer at Continental—and leadership roles in IT and BI that sharpen his product and delivery instincts. Trained in engineering and advanced data science (Telecom Nancy, Maynooth, General Assembly), he moves seamlessly between prototyping models and operationalizing them at scale. Known for bridging infrastructure, analytics and cross-functional collaboration, he often applies lessons from BI and EAI projects to streamline ML deployment lifecycles.
10 years of coding experience
15 years of employment as a software developer
Engineer’s Degree, Engineer’s Degree at TELECOM Nancy
Data Science Immersive, Data Science Immersive at General Assembly
Johns Hopkins University Data Science Specialization, Johns Hopkins University Data Science Specialization at Coursera
Contributions:26 commits, 25 pushes, 1 branch in 1 month
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Grégory Vial - ML & MLOps Engineer at BDR THERMEA FRANCE