Applied R&D Engineer In AI ML And MLOps at HEIG-VD
Neuchâtel, Neuchâtel, Switzerland
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Summary
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Senior
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Top School
Rémy Marquis is an applied R&D engineer with 15 years of experience building AI/ML systems, specializing in MLOps, explainable AI, and scalable infrastructure for production-grade models. Based in Neuchâtel, he bridges research and product delivery—transitioning research Python into robust pipelines and applying AI to domains like geographic information systems and watchmaking standards. Proficient in Kotlin, Python and curious about languages like Zig, he has hands-on experience from mobile Android ML to deploying maintainable machine learning services. His background in environmental engineering informs a systems-oriented, measurement-driven approach to model lifecycle and impact assessment. Notably, he blends practical deployment work at startups and industry bodies with academic-style R&D, making him adept at turning experimental models into auditable, production solutions.
15 years of coding experience
6 years of employment as a software developer
Master's degree, Environmental Engineering Technology/Environmental Technology, Master's degree, Environmental Engineering Technology/Environmental Technology at EPFL (École polytechnique fédérale de Lausanne)
Discretized Interpretable Multi Layer Perceptron (DIMLP) and related algorithms
Contributions:12 releases, 2 reviews, 136 PRs in 1 year 4 months
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Rémy Marquis - Applied R&D Engineer In AI ML And MLOps at HEIG-VD