Skip to main content

MLOps Engineer: Build Scalable Production ML Pipelines

Posted 2 days ago

ampcusScottsdale (AZ)

SENIORITY

Senior

Apply (opens in a new tab)

About the role

Ampcus Inc. is seeking an experienced MLOps Engineer to design, deploy, and manage scalable ML pipelines in production at Scottsdale onsite. You will enable reliable model integration into enterprise systems with governance and automation. In this role, you will build CI/CD for ML models, monitor performance, and collaborate with data scientists and engineers to productionize models while ensuring security and compliance across the ML lifecycle.

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.

More like this