Full - Time

AI Model Serving Specialist

Posted by Rackspace • India, India, India

📍 India, India 🕒 March 01, 2026

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About the Role

Role Purpose
Enable enterprise customers to operationalize AI workloads by deploying and optimizing model-serving platforms (, NVIDIA Triton, vLLM, KServe) within Rackspace’s Private Cloud and Hybrid environments.
This role bridges AI engineering and platform operations, ensuring secure, scalable, and cost-efficient inference services.
Key Responsibilities : - 
Model Deployment & Optimization 
Package and deploy ML/LLM models on Triton, vLLM, or KServe within Kubernetes clusters.
Tune performance (batching, KV-cache, TensorRT optimizations) for latency and throughput SLAs.
Platform Integration 
Work with VMware VCF9, NSX-T, and vSAN ESA to ensure GPU resource allocation and multi-tenancy.
Implement RBAC, encryption, and compliance controls for sovereign/private cloud customers.
API & Service Enablement 
Integrate models with Rackspace’s Unified Infere...
                

Job Details

Location India, India
Job Type Full - Time
Category Computer Occupations
Posted March 01, 2026
Deadline April 10, 2026

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