Summary
Jeremy Atia is a Machine Learning Engineer with 11 years of experience building production-ready ML systems and scalable data platforms across automotive, semiconductor, and FoodTech domains. He currently applies his expertise at eToro while co-founding and serving as CTO of a FoodTech venture where he built a serverless AWS backend, CI/CD pipelines, and a Llama2-based recommender that boosted match accuracy by 20%. Previously he led ML engineering at General Motors, delivering automated 3D annotation pipelines, real-time monitoring for a 2000+ vehicle fleet, and data augmentation workflows that improved recall in challenging driving conditions. At Intel he engineered anomaly-detection models and MLOps practices to handle extremely large, imbalanced datasets, materially improving hardware test efficiency. He blends hands-on software engineering — Docker, Kubeflow, Airflow, MongoDB/Elasticsearch — with strong statistical foundations from graduate studies in econometrics and financial mathematics. Notably, his background spans both research-grade modeling and pragmatic deployment, enabling rapid iteration from prototype to cost-efficient production.
11 years of coding experience
10 years of employment as a software developer
Fellows Program Cybersecurity and Data Science, Fellows Program Cybersecurity and Data Science at Israel Tech Challenge <itc>
Master 2 Statistics and Econometrics, Master 2 Statistics and Econometrics at Toulouse School of Economics
Master of Science Financial Mathematics and Computation, Master of Science Financial Mathematics and Computation at University of Leicester
French, English, Spanish, Hebrew