Red hat Principal Software Engineer - OpenShift AI Model Training 

Ireland 

972543724

Job Summary:

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.

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 Kueue (https://github.com/kubernetes-sigs/kueue) , KubeRay (https://github.com/ray-project/kuberay) , PyTorch, KubeFlow (https://www.kubeflow.org) , and CodeFlare (https://github.com/project-codeflare/codeflare)

• 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, Katib (https://github.com/kubeflow/katib)

• Experience training and tuning ML models using tools like Ray, Kubeflow training operator (https://github.com/kubeflow/training-operator) , Katib, MLFlow (https://github.com/mlflow/mlflow) , 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