Principal Software Engineer - OpenShift AI Model Training

• 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 customer facing discussions, presenting at technical conferences, and evangelizing OpenShift AI within the internal community of practice
• Architect and design new features for open source communities such as

• 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

• An existing contributor in one or more MLOps open source projects such as Ray/KubeRay, KubeFlow, Pytorch,
• Experience training and tuning ML models using tools like Ray,

• Advanced level knowledge and experience in development in Go or Python
• 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

• 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

Red Hat