Remote-Friendly MLOps Engineer - CV & Edge GPU Production

AgileEngine, LLC.

Houston (TX)

On-site

USD 120,000 - 190,000

Full time

7 days ago

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Job summary

AgileEngine, LLC. seeks a Middle/Senior MLOps Engineer to move computer vision models from experimentation into reliable production. You will build reproducible pipelines, monitoring, and lifecycle controls for image/video workloads using Docker, Kubernetes, and CI/CD.

You will own end-to-end deployment, build scalable infrastructure, and collaborate with data scientists to optimize GPU resources for cost efficiency and performance, with a focus on both cloud and edge deployments.

Qualifications

3+ years of professional experience in MLOps, DevOps, Data Engineering, ML, or Software Eng.
Degree in Computer Science, Software Engineering, or related technical discipline (or equivalent practical experience).
US onsite required: Engineers must reside in Dallas, TX, and be onsite.

Responsibilities

Own end-to-end deployment lifecycle from experimentation to production.
Build and maintain infrastructure, pipelines, and CI/CD for rapid model deployment.
Implement production monitoring, dashboards, and drift detection for CV workloads.
Manage experiment tracking and model versioning for reproducibility.
Collaborate with data scientists and AI researchers to productionize models.
Optimize cloud resources and GPU usage for performance and cost.
Deploy CV models to cloud and edge environments, optimizing for Edge GPUs.