Search the 6 jobs at Rackspace Technology

The Principal MLOPs Engineer will architect and optimize an ML inference platform, ensuring scalability in a production environment. Responsibilities include collaborating with teams to develop robust systems, providing mentorship, and applying model optimization techniques to deployment challenges. This role demands expertise in ML engineering and infrastructure, with a strong focus on Java and familiarity with deep learning frameworks.

The Senior MLOPs Engineer will architect and optimize ML inference platforms, ensuring robustness and cost-effectiveness. Responsibilities include collaborating with teams, technical leadership, and ongoing system operations, with a focus on cutting-edge machine learning and deep learning models.

Develop scalable Java code for content aggregation, indexing, retrieval, and ranking in a large-scale distributed system running in a k8s environment with zero downtime. Collaborate with team members, write design documents, develop automated tests, and coordinate deployments. Requires in-depth knowledge of algorithms, data structures, and E2E software development lifecycle experience.

The SR Backend Java Engineer will design and develop large-scale distributed systems, deploy and operate production systems globally, automate infrastructure management, lead projects, and collaborate with cross-functional teams. The role requires strong experience with distributed systems and Java, as well as public cloud environments.

The role involves developing scalable batch processing systems within the Apache Hadoop ecosystem, managing Machine Learning pipelines, and utilizing GCP for data processing. The engineer will implement DevOps best practices and collaborate effectively in a remote environment.

The Senior Streaming Engineer will develop and scale stream and batch processing systems using GCP and various technologies like Pub/Sub and Kafka. They will implement DevOps practices, utilize CI/CD and IaC, and ensure effective communication in a remote environment. The role demands strong problem-solving skills and expertise in cloud services.