GPU MLOps Engineer

Your Job

The GPU- MLOps Engineer will own the Azure platform layer end-to-end - deploying AI/ML models, provisioning and managing GPU compute, securing the environment, and continuously optimizing cost for our engineering AI/ML platform.

Our Team

Established in 1938, Molex delivers comprehensive electronic solutions for various markets, including data communications, telecommunications, consumer electronics, industrial, automotive, commercial vehicle, aerospace and defense, medical, and lighting.

You'll join the platform team responsible for the compute, security, and cost backbone that powers our Azure AI/ML engineering tools, partnering closely with data scientists, ML engineers, and LLM engineers to keep everything running smoothly.

What You Will Do


* Build and maintain CI/CD pipelines (Azure DevOps) 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/redeployment workflows in Azure ML pipelines as new data becomes available.


* Implement access control, identity management, and secrets management (Microsoft Entra ID, Azure Key Vault) across compute, data, and model artifacts.


* Monitor and optimize GPU/cloud spend (Azure Cost Management) and build cost visibility dashboards in Power BI.

Who You Are (Basic Qualifications)


* 10+ years in MLOps, DevOps, or Cloud Infrastructure, with real exposure to both ML deployment and cloud infrastructure management.


* Strong Azure experience - GPU compute (ND/NC), Azure Kubernetes Service, containerization (Docker).


* Infrastructure-as-code experience (Terraform or Bicep).


* Solid grasp of cloud security fundamentals (IAM, network security, secrets management).


* Demonstrated experience with cloud cost optimization (right-sizing, autoscaling, spot/preemptible strategies).


* Hands-on experience with model registries and experiment tracking (Azure ML + MLflow).

What Will Put You Ahead


* Experience with GPU-heavy workloads specifically (ML training, HPC simulation) rather than general web/app infrastructure.


* Azure certifications (Solutions Architect Expert, Security Engineer Associate).


* Experience with HPC job schedulers (Slurm via Azure CycleCloud).


* Experience supporting engineering simulation tools.

For this role, we anticipate paying $200,000 - $280,000 per year.

This role is eligible for variable pay, issued as a monetary bonus or in another form.

At Koch companies, we are entrepreneurs.

This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions.

Any compensation range provided for a role is an estimate determined by available market data.

The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic locatio...