Principal MLOPs Engineer

Rackspace Technology, a leading multicloud solutions provider, is seeking a Principal ML OPS Engineer to join their team in a remote capacity. This role focuses on architecting, building, and optimizing ML inference platforms, requiring significant expertise in Machine Learning engineering and infrastructure. The ideal candidate will have extensive experience in building and scaling ML inference platforms in production environments.

The position offers an opportunity to work with cutting-edge technologies and state-of-the-art LLMs, while leading the development of high-performance, cost-effective inference systems. You'll be responsible for architecting and optimizing data infrastructure, collaborating with cross-functional teams, and providing technical leadership to foster team growth.

The role requires a strong technical background with at least 10 years of experience (or 8+ with a Master's degree) in Computer Science, preferably with a specialization in Machine Learning. Expertise in Java programming, deep learning frameworks, and public cloud services (particularly GCP and Vertex AI) is essential. The position offers competitive compensation ranging from $191,600 to $279,000, depending on location and experience.

As part of Rackspace Technology, you'll join a company recognized as a best place to work by Fortune, Forbes, and Glassdoor. The company values diverse perspectives and maintains an inclusive environment where all employees can thrive while working towards the common goal of delivering cutting-edge cloud solutions to customers worldwide.