About the Role

We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the infrastructure, pipelines, and automation needed to deploy models efficiently at scale.

You will implement production monitoring systems, drift detection, experiment tracking, and model versioning, while managing cloud environments and GPU compute resources for cost‑effective scalability.

The role is based onsite in Dallas, TX, and requires close collaboration with data scientists and AI researchers to translate experimental models into production‑ready solutions.

What You Will Do

• Own the complete lifecycle transition from AI/ML experimentation to reliable, high‑performance production deployment;
• Build, maintain, and scale the infrastructure, automation, and CI/CD workflows necessary for rapid and efficient model deployment;
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