01 ago - Italia
Altro
Do you want to design and build the tools that enable creation of the next generation of Foundation Models and Large Language Models (LLMs)? The Red Hat OpenShift AI (RHOAI) engineering team is seeking a Principal Software Engineer with Kubernetes and MLOps experience to join our rapidly growing Distributed Model Training platform team. Our team creates the tools necessary for enterprise data science teams to leverage distributed compute infrastructure across the hybrid cloud when training today's most complex ML models.
In this role, you'll be contributing as an expert on ML model training and the tools necessary to support it at enterprise scale. Your contributions will enable bleeding edge platform capabilities around distributed computation and model training, model hyperparameter tuning, kubernetes-native job scheduling, and kubernetes-native resource optimization. This is an extraordinary opportunity to contribute to the development of the RHOAI family of products, participate in open source communities such as Kubeflow, Kubernetes, Ray, and Kueue,
and be at the forefront of the exciting evolution of AI.
The future of the AI industry is open with extensive opportunities, and RHOAI is a strategic investment area for Red Hat. You'll join an ecosystem that fosters continuous learning, career growth, and professional development. This hands‐on experience is a great way for you to get first‐hand exposure to the AI landscape.
Are you ready to start developing new solutions that combine open source, hybrid cloud, and AI? Join the Red Hat OpenShift AI team
What you will do
Lead Red Hat's participation in machine learning related upstream communities to ensure the technologies work on OpenShift and can be integrated with RHOAI
Architect and lead implementation of scalable open source solutions for Data Scientists to leverage distributed computing capabilities to train their Machine Learning models, running on OpenShift
Act as a MLOps SME within Red Hat by supporting cu
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