AI Operations Platform Consultant

Experience deploying, managing, operating, and troubleshooting containerized services at scale on Kubernetes for mission-critical applications (OpenShift)

Experience deploying, configuring, and tuning LLMs using TensorRT-LLM and Triton Inference server.

Managing MLOps/LLMOps pipelines, using TensorRT-LLM and Triton Inference server to deploy inference services in production

Setup and operation of AI inference service monitoring for performance and availability.

Experience deploying and troubleshooting LLM models on a containerized platform, monitoring, load balancing, etc.

Operation and support of MLOps/LLMOps pipelines, using TensorRT-LLM and Triton Inference server to deploy inference services in production

Experience deploying and troubleshooting LLM models on a containerized platform, monitoring, load balancing, etc.

Experience with standard processes for operation of a mission critical system incident management, change management, event management, etc.

Managing scalable infrastructure for deploying and managing LLMs

Deploying models in production environments, including containerization, microservices, and API design

Triton Inference Server, including its architecture, configuration, and deployment.

Model Optimization techniques using Triton with TRTLLM

Model optimization techniques, including pruning, quantization, and knowledge distillation