About the job
Do you want to be part of a team that is focused on scaling the deployment, trustworthy AI, and monitoring Foundation Models and Large Language Models (LLMs)? The OpenShift AI team is looking for a Principal Software Engineer with Kubernetes and MLOps experience to join our rapidly growing engineering team. Our team’s focus is to make machine learning model deployment and monitoring seamless, scalable, and trustworthy across the hybrid cloud and the edge. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms.
In this role, you'll be contributing as a technical expert for explainable AI and fairness for the responsible AI features of the open source project by actively participating in , , , and several other open source communities. You will work as part of an evolving development team to rapidly design, secure, build, test and release model serving, trustworthy AI, and model registry capabilities. The role is primarily an individual contributor who will be a key notable contributor to MLOps upstream communities and collaborate closely with the internal cross-functional development teams.
What you will do
Be an influencer and leader in MLOps and Explainable AI, Fairness & Bias related open source communities to help build an active MLOps open source ecosystem for Open Data Hub and OpenShift AI
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 practices
Research and design new features for open source MLOps communities such as KServe and TrustyAI
Provide technical vision and leadership on critical and high impact projects
Mentor, influence, and coach a team of distributed engineers
What you will bring
Strong research and development experience in Explainable Artificial Intelligence (XAI) with a focus on Large Language Models (LLMs), model-agnostic interpretability methods, bias detection and mitigation, and metrics for assessing fairness, transparency, and interpretability in the complex AI models.
Recent hands on experience in deploying and maintaining machine learning models in production environments with respect to explainable AI
Technical leadership acumen
Passion for writing and maintaining reliable code
Hands on experience in Kubernetes f
Comfortable working in a distributed remote team environment
Excellent written and verbal communication skills; fluent 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 is a big plus.
Experience in engineering, consulting or another field related to model serving and monitoring, model registry, explainable AI, deep neural networks, in a customer environment or supporting a data science team
Highly experienced in OpenShift
Advanced level knowledge and experience in Python, Go, or Java
Familiarity with popular python machine learning libraries such as PyTorch, Tensorflow, Scikit-Learn, and Hugging Face
About Red Hat
is the world’s leading provider of enterprise software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates have the flexibility to choose the work environment that suits their needs from in-office to fully remote to office-flex. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Opportunities are open. Join us.
Diversity, Equity & Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from diverse backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions of diversity that compose our global village.
Equal Opportunity Policy (EEO)
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