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Senior MLOps Engineer: Scalable AI Infra & On-Prem

Posted today

4mindsDallas (TX)

SENIORITY

Lead

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About the role

4Minds is seeking a senior ML Ops Engineer to own and scale our AI infrastructure across GCP, AWS, Azure, CoreWeave, and on‐premise deployments. You will design, build, and optimize the inference stack, CI/CD pipelines, and GPU performance to deliver reliable models at enterprise scale. You will work closely with the CTO to push the boundaries of private, cloud-agnostic AI deployment, ensuring production-grade systems that can operate across diverse environments.

Before you apply

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

Your profile is current

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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.

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