MLOps Engineer: CV Pipelines, Edge & Cloud, Flextime

AgileEngine; Richmond (AL); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Projects with Fortune 500 clients

Flextime and hybrid options

Job summary

AgileEngine is seeking a Middle/Senior MLOps Engineer to move computer vision models from experimentation into reliable production. You will own end-to-end deployment, build scalable pipelines, and optimize GPU resources for high-performance workloads across cloud and edge environments.

Join a people-first team with strong focus on AI/ML infrastructure, monitoring, and lifecycle controls. Onsite in Dallas, TX, with opportunities to impact Fortune 500 brands and diverse projects.

Qualifications

• 3+ years of professional experience in MLOps, DevOps, Data Engineering, ML, or Software Eng.
• Degree in CS/Software Eng or related discipline (or equivalent practical experience).
• US-based candidates authorized to work and willing to be onsite in Dallas, TX.
• This role focuses on Computer Vision and GPU engineering.
• Experience with experiment tracking, model registry/versioning, drift detection, and production monitoring.

Responsibilities

• End-to-end deployment: move from AI/ML experimentation to production.
• Build, maintain, and scale infrastructure, pipelines, and CI/CD for model deployment.
• Implement monitoring, dashboards, drift detection, and production reliability.
• Manage experiment tracking and model versioning for reproducibility.
• Collaborate with data scientists to convert experiments into production-ready solutions.
• Optimize cloud and GPU resources for cost-effective performance.
• Deploy CV models to cloud and edge environments.

Skills

MLOps

DevOps

Data engineering

Machine learning

Software engineering

English (Upper-Intermediate)

Education

Bachelor's or Master's in Computer Science/Software Engineering or related

Tools

Docker

Kubernetes

CI/CD pipelines/tools

Job description

AgileEngine is seeking a Middle/Senior MLOps Engineer to move computer vision models from experimentation into reliable production. You will own end-to-end deployment, build scalable pipelines, and optimize GPU resources for high-performance workloads across cloud and edge environments.

Join a people-first team with strong focus on AI/ML infrastructure, monitoring, and lifecycle controls. Onsite in Dallas, TX, with opportunities to impact Fortune 500 brands and diverse projects.