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Description:
Join the AI team to work on an open-source AI platform focusing on machine learning model deployment and monitoring across hybrid cloud and edge environments.
Contribute as a core developer for the Model Registry and Model Serving features of the Kubeflow project.
Collaborate with open-source communities and develop reference architectures integrating Red Hat, open-source, and partner technologies.
Lead the development of new features and solutions for AI, participate in technology conferences, and mentor other engineers.
Requirements:
Proficiency in Go programming language and Python.
Familiarity with Kubernetes, Docker, and Git.
Experience with core machine learning algorithms and libraries.
Strong system understanding and troubleshooting skills.
Ability to adapt to new tools and technologies quickly.
Understanding of Open Source and Free Software communities.
Excellent written and verbal communication skills in English.
Capability to work independently in a dynamic environment.
Benefits:
Opportunity to work on cutting-edge AI technologies in a rapidly growing engineering team.
Contribute to the development of the next generation of hybrid cloud MLOps platforms.
Engage with open-source communities and present at technology conferences.
Mentorship opportunities to guide and support other engineers.
Potential for professional growth and learning in a collaborative environment.