Jobs · Management · New Jersey

AI Operations Platform Consultant

MACHINE LEARNING TECHNOLOGIES LLC · Jersey City, NJ · 2 mo ago
ManagementContract

About the role

The AI Operations Platform Consultant will be responsible for operating large-scale GPU-accelerated AI platforms, deploying and managing LLM inference systems on Kubernetes with strong expertise in Triton Inference Server and TensorRT-LLM.

Responsibilities

  • Built and optimized production-grade LLM pipelines with GPU-aware scheduling, load balancing, and real-time performance tuning across multi-node clusters.
  • Led end-to-end LLMOps processes involving model versioning, engine builds, automated rollouts, and secure runtime controls.
  • Developed comprehensive observability for inference systems, using telemetry and custom dashboards to track GPU health, latency, throughput, and service availability.
  • Incorporated advanced optimization methods such as mixed precision, quantization, sharding, and batching to improve efficiency.

Requirements

  • Extensive experience operating large-scale GPU-accelerated AI platforms.
  • Strong expertise in Triton Inference Server and TensorRT-LLM.
  • Experience with deploying, configuring, and tuning LLMs using TensorRT-LLM and Triton Inference server.
  • Experience with MLOps/LLMOps pipelines, using TensorRT-LLM and Triton Inference server to deploy inference services in production.
  • Experience with setting up and operating AI inference service monitoring for performance and availability.
  • 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.
  • 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.
  • Experience with deploying and managing LLMs in production environments, including containerization, microservices, and API design.
  • Experience with Triton Inference Server, including its architecture, configuration, and deployment.
  • Experience with model optimization techniques using Triton with TRTLLM.
  • Experience with model optimization techniques, including pruning, quantization, and knowledge distillation.

Qualifications

  • US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD.

Skills

  • Platform Engineering
  • AI Infrastructure
  • Operational Experience
  • High-Performance LLM Systems

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