GPU MLOps Engineer

Our platform team is the compute, security, and cost backbone that powers Azure AI/ML engineering tools at Molex, a global electronics leader since 1938. You’ll partner closely with data scientists, ML engineers, and LLM engineers to keep everything running smoothly.

About the role

As the GPU-MLOps Engineer you 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.

Responsibilities

• 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.

Requirements

• 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).

Skills

• 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.

Pay

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.

Benefits

• Medical, dental, vision, flexible spending and health savings accounts.
• Life insurance, ADD, disability, retirement, paid vacation/time off.
• Educational assistance.
• Infertility assistance, paid parental leave and adoption assistance (eligibility criteria apply).