Lead ML Platform Engineer — GPU Hosting & MLOps

HP; Spring (TX); On-site; USD 147,000 - 231,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous time off

Job summary

HP is seeking a Senior Machine Learning Platform Engineer to build the hosting infrastructure and workflows that move custom models from development to reliable production. You will enable secure, scalable inference services across AWS and Azure, with consideration for on‑premises integration, and shape agent workflows for multi‑step applications.

You will implement infrastructure as code, deployment automation, and robust monitoring while partnering with model developers and security teams to

Qualifications

• Hands-on experience hosting LLM inference on GPU infrastructure in production.
• Experience building model-serving platforms, including runtimes, endpoints, scaling, and tooling.
• Strong Python software engineering skills for services and automation.

Responsibilities

• Design hosting for ML/AI models across AWS/Azure with GPU-backed inference.
• Package models into reproducible serving workloads and select suitable patterns.
• Provision Kubernetes clusters and hosting infra with IAM, secrets, and networking.

Skills

GPU inference

Python

Kubernetes

Terraform

CI/CD

MLOps

AWS

Azure

Tools

SageMaker

EKS

AKS

Job description

HP is seeking a Senior Machine Learning Platform Engineer to build the hosting infrastructure and workflows that move custom models from development to reliable production. You will enable secure, scalable inference services across AWS and Azure, with consideration for on‑premises integration, and shape agent workflows for multi‑step applications.

You will implement infrastructure as code, deployment automation, and robust monitoring while partnering with model developers and security teams to