At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments.
Key Responsibilities
Collaborate with research and product development teams to scale machine learning products for internal and external applications
Create and manage model training and deployment pipelines
Actively contribute to managing and releasing upstream and midstream product builds
Test to ensure correctness, responsiveness, and efficiency
Troubleshoot, debug and upgrade Dev & Test pipelines
Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
Collaborate with a cross-functional team about market requirements and best practices
Keep abreast of the latest technologies and standards in the field
Required Qualifications
2+ years of experience in MLOps, DevOps, Automation and modern Software Deployment practices
Strong experience with Git, Github Actions including self-hosted runners, Terraform, Jenkins, Ansible, and common technologies for automation and monitoring
Highly experienced with administering Kubernetes/Openshift
Familiar with Agile development methodology
Experience with Cloud Computing using at least one of the following Cloud infrastructures: AWS, GCP, Azure, or IBM Cloud
Solid programming skills especially in Python
Solid troubleshooting skills
Ability to interact comfortably with the other members of a large, geographically dispersed team
Experience maintaining an infrastructure and ensuring stability
Familiarity with contributing to the vLLM CI community is a big plus
About Red Hat
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity.
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