AI Operations Platform Consultant

Cloud Analytics Technologies, LLC

Jersey City (NJ)

On-site

USD 140,000 - 210,000

Full time

5 hours ago
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Benefits offered by this job

Equal Opportunity Employer

Job summary

Cloud Analytics Technologies, LLC is seeking an AI Operations Platform Consultant to deploy and manage GPU-accelerated LLM inference systems on Kubernetes. You will optimize performance, implement robust MLOps pipelines and drive reliable production workloads with advanced observability.

Role requires hands-on expertise with Triton Inference Server and TensorRT-LLM, containerized microservices, and scalable AI infrastructure across multi-node clusters. Equal opportunity employer.

Qualifications

  • Experience deploying, managing and troubleshooting containerized services at scale on Kubernetes (OpenShift).
  • Hands-on with LLM inference, model deployment, and production-grade MLOps pipelines.
  • Strong focus on performance optimization, monitoring and reliability of AI platforms.

Responsibilities

  • Design and operate GPU-accelerated AI platforms for large-scale LLM inference.
  • Deploy and tune LLMs using TensorRT-LLM and Triton Inference Server in production.
  • Build observability and dashboards to monitor latency, throughput and GPU health.
  • Lead end-to-end LLMOps workflows including versioning, rollouts and security controls.

Skills

LLM deployment
MLOps/LLMOps
GPU-accelerated platforms
Observability

Tools

Kubernetes
TensorRT-LLM
Triton Inference Server
OpenShift

Job description


  • Brings extensive experience 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.

  • They have repeatedly built and optimized production-grade LLM pipelines with GPU-aware scheduling, load balancing, and real-time performance tuning across multi-node clusters. Their background includes designing containerized microservices, implementing robust deployment workflows, and maintaining operational reliability in mission-critical environments.

  • They have led end-to-end LLMOps processes involving model versioning, engine builds, automated rollouts, and secure runtime controls.

  • The candidate has also developed comprehensive observability for inference systems, using telemetry and custom dashboards to track GPU health, latency, throughput, and service availability.

  • Their work consistently incorporates advanced optimization methods such as mixed precision, quantization, sharding, and batching to improve efficiency. Overall, they bring a strong blend of platform engineering, AI infrastructure, and hands‑on operational experience running high-performance LLM systems in production


Basic Info:



  • AI Operations Platform Consultant

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

  • Experience with 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


CLOUD ANALYTICS TECHNOLOGIES is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract


Equal Opportunity Employer
CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract


Some of our Business Ventures - Knowledge Analytics

Do restrictive necessities, your capability for advanced analytics or your business model need custom-made applications and infrastructure configurations? opt for our hosted managed services to urge comprehensive analytics solutions supported industry-leading Cloud Analytics Technologies, LLC code - delivered by the Cloud Analytics Technologies, LLC consultants UN agency understand these solutions best. Through a mix of with-it technology and dedicated service and support, Cloud Analytics Technologies, LLC hosted managed services will facilitate you:

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