Senior MLOps Engineer: CV Production & Edge Deployments

AgileEngine; Blacksburg (SC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine is seeking a Middle/Senior MLOps Engineer to move computer vision models from experimentation into reliable production. You will design reproducible pipelines, monitor lifecycles, and optimize GPU workloads across cloud and edge environments.

The role emphasizes CV pipelines, GPU optimization, and CI/CD with Docker and Kubernetes. You will collaborate with data scientists and researchers to deliver production-ready ML solutions in a fast-paced, people-first culture.

Qualifications

• 3+ years of professional experience in MLOps, DevOps, Data Engineering, ML, or Software Engineering.
• Degree in Computer Science, Software Engineering, or related discipline (or equivalent practical experience).
• Engineers located in the US must reside in Dallas, TX and be willing to work onsite.

Responsibilities

• Own the end-to-end deployment lifecycle from ML experiments to production.
• Build and maintain infrastructure, pipelines, and CI/CD for rapid model deployment.
• Implement production monitoring, data drift detection, and system reliability measures.

Skills

MLOps

DevOps

Data Engineering

Machine Learning

Software Engineering

Education

Degree in CS/Software Eng or related

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

AgileEngine is seeking a Middle/Senior MLOps Engineer to move computer vision models from experimentation into reliable production. You will design reproducible pipelines, monitor lifecycles, and optimize GPU workloads across cloud and edge environments.

The role emphasizes CV pipelines, GPU optimization, and CI/CD with Docker and Kubernetes. You will collaborate with data scientists and researchers to deliver production-ready ML solutions in a fast-paced, people-first culture.