Senior MLOps Engineer — CV Pipelines & Edge Deployment

AgileEngine, LLC.; Blacksburg (VA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a Middle/Senior MLOps Engineer to move computer vision models from experimentation into reliable production. The role spans ML infrastructure, GPU optimization, and deployment across cloud and edge environments, with end-to-end pipelines, monitoring, and lifecycle controls.

You will collaborate with data scientists and AI researchers, manage GPU resources, and optimize for latency, throughput, and cost in both cloud and edge contexts.

Qualifications

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

Responsibilities

• End-to-End Deployment: Own the complete lifecycle transition from AI/ML experimentation to reliable, high-performance production deployment.
• Infrastructure & Pipelines: Build, maintain, and scale CI/CD workflows and GPU/CV data handling for model deployment.
• System Stability & Monitoring: Implement production monitoring, dashboards, and drift detection for CV models.
• Model Lifecycle Management: Track experiments and manage model versions for reproducibility.
• Cross-Functional Collaboration: Work with data scientists to translate experiments into production-ready solutions.
• Resource & Cost Optimization: Manage cloud environments and GPU resources for scalable, cost-effective deployments.
• Edge & Cloud Deployment: Deploy CV models to cloud and optimize for Edge GPU deployment.

Skills

MLOps

DevOps

Data Engineering

Machine Learning

Software Engineering

Education

Bachelor's degree in Computer Science or related

Tools

Docker

Kubernetes

Job description

AgileEngine, LLC. is seeking a Middle/Senior MLOps Engineer to move computer vision models from experimentation into reliable production. The role spans ML infrastructure, GPU optimization, and deployment across cloud and edge environments, with end-to-end pipelines, monitoring, and lifecycle controls.

You will collaborate with data scientists and AI researchers, manage GPU resources, and optimize for latency, throughput, and cost in both cloud and edge contexts.