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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 and cloud computing capabilities to train their Machine Learning models, running on OpenShift
Act as an MLOps SME within Red Hat by supporting customer facing discussions, presenting at technical conferences, and evangelizing OpenShift AI within the internal community of practice
Provide technical vision and leadership on critical and high impact projects
Mentor, influence, and coach a distributed team of engineers
Present at OpenShift/Kubernetes, and AI/ML related technology conferences and internally within the AI/ML communities of practice
What you will bring
Advanced level of experience with Kubernetes
Advanced level knowledge and experience in development in Go or Python
Experience with DevOps/MLOps
Experience deploying models to production using OpenDataHub and Openshift AI is considered as a huge plus
Excellent system understanding and troubleshooting capabilities
Solid innovation skills and a passion for technology
Technical leadership acumen in a global team environment & mentorship experience
Passion for writing and maintaining reliable code
Excellent written and verbal communication skills; good English language skills
The following will be considered a plus:
Bachelor's degree in statistics, mathematics, computer science, operations research, or a related quantitative field, or equivalent expertise; Master’s or PhD
Experience in engineering, consulting or another field related to distributed model training or data processing in a customer environment or supporting a data science team
Highly experienced in OpenShift
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