Machine Learning Architect (AWS)

Rackspace is seeking an experienced Machine Learning Architect to join their team of technologists. This role combines both architectural leadership and hands-on engineering, focusing on building AI/ML solutions at scale on cloud platforms, particularly AWS. The position requires a deep technical background in machine learning, with the ability to work directly with customers to deliver innovative solutions that align with business objectives.

The ideal candidate will lead end-to-end machine learning projects, from initial concept to production deployment, utilizing cloud-native technologies and state-of-the-art ML models. They will be responsible for designing sophisticated ML architectures, implementing MLOps practices, and staying current with the latest developments in machine learning research.

This role offers the opportunity to work with cutting-edge technologies including LLMs, transformer architectures, and modern ML frameworks. The position demands both technical excellence and strong interpersonal skills, as you'll be working directly with customers and leading teams through complex technical challenges.

As a Machine Learning Architect at Rackspace, you'll be part of a company that values innovation and technical expertise, while having the flexibility of remote work. The role offers competitive compensation and the chance to work on challenging projects that directly impact business outcomes. This is an excellent opportunity for an experienced ML professional who wants to combine architectural leadership with hands-on development in a customer-facing role.