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 deep expertise in Machine Learning engineering and infrastructure. The ideal candidate will have significant experience in scaling ML inference platforms in production environments and possess exceptional communication skills.

The role involves working with cutting-edge machine learning and deep learning models, including state-of-the-art LLMs, while collaborating with cross-functional teams to deliver robust engineering solutions. The position requires strong technical leadership abilities and the capability to mentor team members.

Key technical requirements include expertise in Java programming, experience with major deep learning frameworks, and proficiency in the Apache Hadoop ecosystem. The role demands in-depth knowledge of ML model optimization techniques and LLM architectures. Candidates should have either a Bachelor's degree with 10+ years of experience or a Master's degree with 8+ years in the field.

Rackspace offers competitive compensation ranging from $191,600 to $279,000 depending on location and experience. The company is known for its positive work culture, having been recognized as a best place to work by Fortune, Forbes, and Glassdoor. They value diversity and inclusion, welcoming unique perspectives that fuel innovation and better serve their global customer base.