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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)
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