Senior ML Platform Engineer: Model Hosting & MLOps

Posted 2 days ago

hewlett packardSpring (TX)

Computer Systems Engineers/Architects Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

SENIORITY

Lead

Apply

About the role

Hewlett Packard Co. is seeking a Senior Machine Learning Platform Engineer to design and operate hosting for custom ML models across AWS and Azure. You will package models, implement reproducible serving workloads, and build scalable MLOps pipelines for model registration, validation, and release. The role requires hands-on GPU-based LLM inference experience, strong Python engineering, and expertise in Kubernetes-based hosting, CI/CD, and cloud platforms.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.