Senior MLOps Engineer, vLLM Inference

4 weeks ago

Waterford, Ireland Red Hat Full time

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. The Red Hat Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments.
We are seeking an experienced ML Ops engineer to work closely with our product and research teams to scale SOTA deep learning products and software. As an ML Ops engineer, you will work closely with our technical and research teams to manage training and deployment pipelines, create DevOps and CI/CD infrastructure, and scale our current technology stack.
In this role, your primary responsibility will be to build and release the Red Hat AI Inference runtimes, continuously improve the processes and tooling used by the DevOps team, and find opportunities to automate procedures and tasks.
What You Will Do
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
Identify and deploy 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
What You Will Bring
2+ years of experience in MLOps, DevOps, Automation, and modern Software Deployment practices
Experience evaluating LLMs for performance on accelerators and accuracy
Strong experience with Python and PyTest
Experience with Git, Github Actions, 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
Benefits
Comprehensive medical, dental, and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability, paid family medical leave, and paid military leave
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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