Senior ML Platform Engineer - GPU Inference & MLOps

HP; Tlaquepaque; On-site; MXN 2,662,000 - 4,178,000; 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 policies

Parental leave (4-12 weeks)

Job summary

HP seeks a Senior Machine Learning Platform Engineer to design hosting for custom ML/AI models, focusing on GPU-backed LLM inference and real-time endpoints. You will build the cloud platform around model serving, develop MLOps pipelines, and enable repeatable, observable deployments across AWS and Azure.

You will collaborate with security, application, and platform teams to turn model artifacts into secure, scalable inference services, crafting reusable deployment templates and reference

Qualifications

• Hands-on experience hosting LLM inference on GPU infrastructure in production.
• Experience building the surrounding model-serving platform (inference runtimes, endpoints, scaling).
• Strong Python software engineering skills for services and automation.

Responsibilities

• Design hosting for ML/AI models across AWS and Azure with GPU-backed inference.
• Package models into reproducible serving workloads and choose patterns based on throughput and latency.
• Configure Kubernetes or other hosting infra including IAM, networking, observability, and security.

Skills

Python

Kubernetes

Terraform

AWS

Azure

CI/CD

ML/LLM hosting

Tools

SageMaker/AKS

GKE/EKS

Job description

HP seeks a Senior Machine Learning Platform Engineer to design hosting for custom ML/AI models, focusing on GPU-backed LLM inference and real-time endpoints. You will build the cloud platform around model serving, develop MLOps pipelines, and enable repeatable, observable deployments across AWS and Azure.

You will collaborate with security, application, and platform teams to turn model artifacts into secure, scalable inference services, crafting reusable deployment templates and reference