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Red hat Senior Software Engineer - Ecosystem Engineering 
Israel, Center District, Raanana 
947591976

15.12.2024

Job Summary

In this role, you will work with a diverse team of highly motivated engineers on designing and implementing AI/ML workflows and solutions and integrating Red Hat Partners solutions.

You will also be working closely with the product management, other

Are you ready to start developing new solutions that combine open source,

What you will do:

  • Design and lead implementation of scalable solutions withdistributed computing capabilities to deploy, train, and serve ML models on OpenShift AI (RHOAI)

  • Designing and implementing Predictive and Generative AI-based applications

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

  • Collaborate with AI/ML partners to adjust their AI strategies,address their specific use cases, and drive value through theadoption of the RHOAI

  • Build multi product demos and AI/ML workflows using Predictive and Generative AI leveraging RH product and AI stack

What you will bring:

  • Hands on experience in development in Python or Go

  • Experience of containers and OpenShift or Kubernetes

  • Experience with AI and MLOps tools and Concepts, including Automation, GitOps, pipelines, models, etc. for managing the AI/ML lifecycle in production environments

  • Experience and knowing AI frameworks and libraries such as: OpenDataHub, TensorFlow, PyTorch, Kueue, KubeRay, KubeFlow, CodeFlare, Feast etc

  • Familiarity with model parallelization, quantization, and memory optimization using vLLM, DeepSpeed, OpenVino and other inference libraries

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

The following are considered a plus:

  • Cloud Computing experience using at least one of the following Cloud infrastructures AWS, GCP, Azure & IBM Cloud

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