GPU MLOps Engineer
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Job Description
GPU MLOps Engineer managing Azure GPU infrastructure, ML deployments, security, and cloud costs for Molex, a global electronics solutions supplier.
Responsibilities:
- Own the Azure platform layer end-to-end for the engineering AI/ML platform
- Build and maintain Azure DevOps CI/CD pipelines for ML model training, validation, versioning, and deployment
- Provision and scale Azure GPU compute (ND/NC series) and AKS/ACI container infrastructure for training and simulation workloads
- Automate model 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
- Monitor and optimize Azure GPU/cloud spend using Azure Cost Management
- Build cost visibility dashboards in Power BI
- Partner with data scientists, ML engineers, and LLM engineers to maintain platform operations
Requirements:
- 10+ years in MLOps, DevOps, or Cloud Infrastructure, with exposure to ML deployment and cloud infrastructure management
- Strong Azure experience, including GPU compute (ND/NC), Azure Kubernetes Service, and Docker containerization
- Infrastructure-as-code experience with Terraform or Bicep
- Solid grasp of cloud security fundamentals, including IAM, network security, and secrets management
- Demonstrated cloud cost optimization experience, including right-sizing, autoscaling, and spot/preemptible strategies
- Hands-on experience with model registries and experiment tracking using Azure ML and MLflow
- GPU-heavy workload experience, such as ML training or HPC simulation, preferred
- Azure certifications, including Solutions Architect Expert or Security Engineer Associate, preferred
- Experience with HPC job schedulers, such as Slurm via Azure CycleCloud, preferred
- Experience supporting engineering simulation tools, preferred
Benefits:
- Variable pay, issued as a monetary bonus or in another form
- Medical insurance
- Dental insurance
- Vision insurance
- Flexible spending accounts
- Health savings accounts
- Life insurance
- ADD
- Disability benefits
- Retirement benefits
- Paid vacation/time off
- Educational assistance
- Infertility assistance may be included
- Paid parental leave may be included
- Adoption assistance may be included
- Flexible work environment
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