About The Job
The Red Hat OpenShift AI team is seeking a highly skilled MLOps Software Engineer to join us in Bangalore, India.
Red Hat® OpenShift® AI is a flexible, scalable artificial intelligence (AI) and machine learning (ML) platform that enables enterprises to create and deliver AI-enabled applications at scale across hybrid cloud environments. Built using open-source technologies, OpenShift AI provides trusted, operationally consistent capabilities for teams to experiment, serve models, and deliver innovative apps.
The OpenShift AI team is seeking an MLOps Software Engineer with Kubernetes and Model Inference Runtimes experience to join our rapidly growing engineering team. Our team focuses on making machine learning model deployment and monitoring seamless and scalable across the hybrid cloud and the edge. This is a fascinating opportunity to build and impact the next generation of hybrid cloud MLOps platforms.
What will you do?
- Develop and maintain a high-quality ML inference runtime platform for multi-modal model serving.
- Contribute to upstream inference runtime communities such as vLLM, DeepSpeed, OpenVINO, and others.
- Implement and maintain CI/CD pipelines that allow faster, more secure, reliable, and frequent releases
- Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
- Coordination and communication with various stakeholders
- Applying a growth mindset by staying up to date with AI and ML advancements
What will you bring?
- Proficiency with programming in Python
- Familiarity with model parallelization, quantization, and memory optimization using vLLM, DeepSpeed, and other inference libraries.
- 3+ years of experience in DevOps, Automation, and modern Software Deployment practices
- Solid understanding of the fundamentals of model inferencing architectures
- Experience with Jenkins, Git, shell scripting, and related technologies
- Experience with the development of containerized applications in Kubernetes
- Experience with Agile development methodologies
- Experience with Cloud Computing using at least one of the following Cloud infrastructures AWS, GCP, Azure, or IBM Cloud
- Ability to work across a large distributed hybrid engineering team
- Development experience with C++ especially with the CUDA APIs is a plus
- Experience with open-source development is a plus
About Red Hat
Red Hat is the world’s leading provider of enterprise 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.
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