Remote Principal MLOPs Engineer na Rackspace
Rackspace · United States - Remote / United States - San Antonio, Estados Unidos Da América · Remote
Oyster – Contrate globalmente com a Oyster. Simplifique o processamento de salários e a conformidade.
Patrocinado por OysterAbout the Role:
We are looking for a seasoned Principal ML OPS Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial. This remote position calls for exceptional communication skills and a knack for independently tackling complex challenges with innovative solutions.
