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Koch Industries

Private conglomerate in energy and materials

GPU MLOps Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 10 years of experience in MLOps, DevOps, or cloud infrastructure, including exposure to both ML deployment and cloud infrastructure management.
  • Strong Azure experience, including GPU compute (ND/NC), Azure Kubernetes Service, and Docker.
  • Experience with infrastructure as code using Terraform or Bicep.
  • A solid grasp of cloud security fundamentals, including identity and access management, network security, and secrets management.
  • Demonstrated experience with cloud cost optimization, including right-sizing, autoscaling, and spot or preemptible strategies.
  • Hands-on experience with model registries and experiment tracking using Azure ML and MLflow.

Responsibilities

  • Build and maintain Azure DevOps CI/CD pipelines for training, validation, versioning, and deployment of ML models.
  • Provision and scale Azure GPU compute (ND/NC series) and container infrastructure (AKS/ACI) for training and simulation workloads.
  • Automate retraining and redeployment workflows in Azure ML pipelines as new data becomes available.
  • Implement access control, identity management, and secrets management using Microsoft Entra ID and Azure Key Vault across compute, data, and model artifacts.
  • Monitor and optimize GPU and cloud spending using Azure Cost Management, and build cost-visibility dashboards in Power BI.

Desired Qualifications

  • Experience with GPU-heavy workloads, particularly ML training or HPC simulation, rather than general web or application infrastructure.
  • Azure Solutions Architect Expert or Security Engineer Associate certifications.
  • Experience with HPC job schedulers, such as Slurm via Azure CycleCloud.
  • Experience supporting engineering simulation tools.

About the Company

Koch Industries

Private conglomerate in energy and materials

Koch Industries is a large, private, diversified conglomerate that operates in energy, chemical processing, and manufacturing. It started from an innovation that turned heavy crude oil into gasoline and grew through long‑term investments rather than short‑term market moves. The company generates value by refining fuels and producing chemical products, and it operates Georgia-Pacific, a major maker of paper and building products. Its business model relies on reinvesting most earnings back into the company to fund steady, long‑term growth rather than paying out frequent dividends or seeking quick profits. Koch differentiates itself from many competitors by staying privately owned, which reduces pressure from public markets and enables longer‑range planning. The company’s goal is to build scale and durability across its holdings by sustainable, multi‑decade growth rather than rapid, episodic gains.

Company size
5,001-10,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$985.2M
Headquarters
Wichita, KS
Founded
1940

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