Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver reliable and high-performing Linux, hybrid cloud, container, and Kubernetes technologies. We strive to make software freely accessible to everyone around the world. Software developed at Red Hat runs in vehicles that landed on the moon, airlines, banks, trains, social media, health care, academic institutions, robots, and in many other places. 

If you’re interested, keep reading! 

The Red Hat Software Engineering  team is looking for a highly motivated student who can join us in the Raanana office and who wants to gain hands-on experience with open source and Red Hat products. In this role, you will work in an environment where diverse perspectives are invited, the best ideas are valued, and people feel empowered to contribute. Freedom and courage are two of our core values, which is why you’ll need to be comfortable taking risks and exploring the unknown. But being a Red Hatter isn't just about being brave, it's also about demonstrating commitment and sticking to it. 

Job Responsibilities:

• Develop and implement best practices for AI/ML model lifecycle management, including pre-processing, model training, serving, monitoring etc

• Deploy AI/ML models on OpenShift AI (RHOAI), ensuring scalability, reliability, and performance.

• Work with upstream AI/ML communities to evaluate new AI/ML-related technologies from partners and create examples of integrations between their technology and RHOAI

• Build multi product demos and AI/ML workflows

Required Skills:  

• Experience in development in Python, R or Go

• Familiarity with MLOps practices and tools for managing the AI/ML lifecycle in production environments.

• Interest in learning new technologies; problem-solving skills.

• Good written and verbal communication skills in English

• Current student enrolled at a university in Israel with graduation in summer/autumn 2025 

The following are considered a plus: 

• Knowledge of containers and OpenShift or Kubernetes and cloud platforms (AWS, Azure, Google Cloud) 

• Previous code contributions to or participation in open source projects or code samples on GitHub. 

• Understanding of fundamental AI/ML concepts, algorithms, and techniques.

• Basic knowledge of data preprocessing, feature engineering, and model evaluation.

• Knowledge of AI frameworks  and libraries (e.g. OpenDataHub, TensorFlow, PyTorch, Kueue, KubeRay, KubeFlow, CodeFlare, Feast etc)

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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