Senior MLOps Engineer: CV, GPU, Edge & Cloud

AgileEngine; Miami (FL); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine in Miami, FL is seeking a Middle/Senior MLOps Engineer to move computer vision models from experimentation into reliable production across cloud and edge environments. You will build reproducible pipelines, monitoring, and lifecycle controls for image and video workloads using Docker, Kubernetes, and CI/CD, collaborating with data scientists to deliver production-ready CV solutions.

This role emphasizes GPU optimization, cost-aware cloud usage, and robust deployment strategies to

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.
• Authorized to work for ANY employer in the US; visa sponsorship is not provided.
• This role focuses on Computer Vision and GPU engineering with CV MLOps experience.

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 the infrastructure, automation, and CI/CD workflows for rapid model deployment.
• System Stability & Monitoring: Implement robust production monitoring, dashboards, and drift detection for CV workloads.
• Model Lifecycle Management: Manage experiment tracking and model versioning for reproducibility in production.
• Cross-Functional Collaboration: Partner with data scientists to translate experiments into production-ready solutions.
• Resource & Cost Optimization: Manage cloud environments and GPU resources for cost-effective, scalable deployment.
• Edge & Cloud Deployment: Deploy CV models to cloud and edge environments.

Skills

MLOps

DevOps

Data Engineering

Machine Learning

Software Engineering

Education

Degree in Computer Science or Software Engineering

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

AgileEngine in Miami, FL is seeking a Middle/Senior MLOps Engineer to move computer vision models from experimentation into reliable production across cloud and edge environments. You will build reproducible pipelines, monitoring, and lifecycle controls for image and video workloads using Docker, Kubernetes, and CI/CD, collaborating with data scientists to deliver production-ready CV solutions.

This role emphasizes GPU optimization, cost-aware cloud usage, and robust deployment strategies to