AI Model Serving Specialist
Rackspace(1 month ago)
About this role
This role focuses on operationalizing AI workloads for enterprise customers by deploying and optimizing model-serving platforms in Rackspace’s private and hybrid cloud environments. It sits at the intersection of AI engineering and platform operations to deliver secure, scalable, and cost-efficient inference services. The position involves close collaboration with customer-facing teams to support onboarding, reference patterns, and performance benchmarking across key industry verticals. The engineer also contributes to continuous improvement of tooling and automation for model serving and observability.
Required Skills
- Model Deployment
- Model Optimization
- Kubernetes
- GPU Scheduling
- CUDA
- MIG
- NVIDIA Triton
- vLLM
- KServe
- VMware VCF9
+32 more
Qualifications
- NVIDIA Certified Professional
- CKA
- VMware VCF Specialist
- Rackspace AI Foundations
About Rackspace
rackspace.comRackspace Technology is a global managed cloud and multicloud solutions provider that helps organizations design, build, operate, and optimize cloud environments. The company delivers managed services across applications, data, and security and works across public clouds, private clouds, and edge environments to maximize the benefits of modern cloud. Rackspace offers professional services, cloud migration, managed hosting, security, and a marketplace of tools and solutions, supporting customers in more than 120 countries. Enterprises choose Rackspace for its technical expertise, 24/7 support, and platform-agnostic approach to reduce complexity and accelerate outcomes.
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