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The AI/ML Architect will develop automation and DevOps methodologies for scalable AI and ML infrastructure, engage with clients to address their needs, and maintain technical documentation. They will focus on generative AI systems and leverage AWS tools and services.

The SR Backend Java Engineer will design and develop large-scale distributed systems, automate infrastructure management, lead projects, and mentor junior team members. The role involves working with technologies such as Java and cloud infrastructures, ensuring high-performance systems for a large user base.

As a Principal MLOps Engineer, you will architect and optimize ML inference platforms, collaborate with teams for engineering solutions, and lead high-performance teams in developing efficient inference systems.

The Senior MLOPs Engineer will architect and optimize ML inference platforms, handling all aspects of development and operations. They will work with cross-functional teams to achieve business objectives through engineering solutions, mentor team members, and ensure the effective deployment of models via scalable inference systems.

The Senior Big Data Engineer will develop scalable batch processing systems using the Hadoop ecosystem and manage Machine Learning pipelines. The role requires strong programming skills in Java and Python, knowledge of GCP for data processing, and extensive experience in engineering complex systems. The candidate should excel in remote collaboration and maintain effective communication with team members.

The Windows Support Engineer II provides high-level technical support to customers, resolving complex issues and ensuring system performance and reliability. Responsibilities include mentoring colleagues, leading customer engagements, and collaborating on system architecture enhancements. The role involves adhering to security policies and maintaining SLA commitments while owning customer issues until resolution.

The Software Development Manager will lead teams in building and supporting diverse software products at Rackspace Technology. Responsibilities include mentoring engineers, delivering customer-focused solutions, improving processes, and ensuring adherence to development standards. The role emphasizes collaboration, leadership, and continuous delivery.