Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?
The OpenShift AI team is looking for a Software Engineer with Kubernetes and Machine Learning experience to join our rapidly growing engineering team. Our team’s focus is to make machine learning model deployment and monitoring seamless and scalable across the hybrid cloud and the edge. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms.
In this role, you'll be contributing as a core developer for the Model Registry and Model Serving features of the open-source Kubeflow project by actively participating in Model Registry and other open-source communities. You will work as part of an evolving development team to rapidly design, secure, build, test, and release model registry capabilities. The role is primarily an individual contributor who collaborates closely with other developers and cross-functional teams. You will need to have a passion for working in open-source communities and for developing reference architectures that integrate Red Hat, open-source, and partner technologies into a cohesive platform.
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