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 Senior MLOps 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 sourceOpen Data Hub (https://opendatahub.io/) project by actively participating inKServe (https://github.com/kserve) ,TrustyAI (https://github.com/trustyai-explainability) ,Kubeflow, (https://github.com/kubeflow/) 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 Trustworthy AI and 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

　　Contribute to developing and integrating model fairness and bias metrics and explainable AI algorithms in OpenShift AI product

　　Act as an Explainable AI 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

　　Collaborate with our product management and customer engineering teams to identify and expand product functionalities

　　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

　　Comfortable working in a distributed remote team environment

　　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, or a related quantitative field, or equivalent expertise; Master’s or PhD in Machine Learning or NLP 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 Kubernetes and/or OpenShift

　　Advanced level knowledge and experience in Python, Java, or Go

　　Familiarity with popular python machine learning libraries such as PyTorch, Tensorflow, Scikit-Learn, and Hugging Face

　　#LI-AM4

　　#LI-REMOTE

　　About Red Hat

　　Red Hat is the world’s leading provider of enterpriseopen source (https://www.redhat.com/en/about/open-source) 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)

　　Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

　　Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

　　Posting Location : Location GB-Newcastle

　　Posting date 1 month ago (1/9/2024 8:37 AM)

　　Job ID 101052

　　Workday ID R-036293