Description
Coupang is hiring an MLOps Engineer to bridge data science and production systems in Taiwan. The role focuses on translating experimental code into production architectures, establishing model deployment and versioning workflows, building scalable data pipelines, implementing feature stores and data versioning, and maintaining deployed predictive solutions. Candidates need a bachelor’s or master’s degree in a quantitative discipline, at least five years of relevant software or machine learning engineering experience, and hands-on MLOps, Python, SQL, distributed processing, and software engineering experience.
