Principal Software Engineer - OpenShift AI Model Training

Red Hat

  • Waterford
  • Permanent
  • Full-time
  • 1 month ago
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 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
, , PyTorch, , and * 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
  • 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,
, Katib, , or similar * Advanced level of experience with Kubernetes
  • 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
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

Red Hat

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