MLOps Engineer - Edge & Cloud CV Deployments

AgileEngine; Boca Raton (FL); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

An exciting projects portfolio

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, monitoring, and lifecycle controls for image and video workloads using Docker, Kubernetes, and CI/CD.

The role focuses on CV pipelines, GPU optimization, and scalable cloud/edge deployments. You will collaborate with data scientists to translate experiments into robust, production-ready solutions and manage cost-efficient GPU

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.
• Engineers located in the US must reside in Dallas, TX and be willing to work onsite.

Responsibilities

• Own end-to-end deployment lifecycle from experimentation to production for computer vision models.
• Build and scale infrastructure, pipelines, and CI/CD for rapid model deployment.
• Implement production monitoring, dashboards, and drift detection for CV models.
• Manage experiment tracking and model versioning for reproducibility in production.
• Collaborate with data scientists to translate experiments into production-ready solutions.
• Optimize cloud GPU resources and edge/ cloud deployment for CV workloads.

Skills

MLOps

DevOps

Data Engineering

Machine Learning

Software Engineering

Docker

Kubernetes

CI/CD

CV Pipelines

Experiment Tracking

Model Registry

Drift Detection

Production Monitoring

Cloud Environments

GPU Compute

Edge Deployment

English Proficiency

Education

Bachelor's degree in Computer Science or related field

Equivalent practical experience

Tools

Docker

Kubernetes

CI/CD tools

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, monitoring, and lifecycle controls for image and video workloads using Docker, Kubernetes, and CI/CD.

The role focuses on CV pipelines, GPU optimization, and scalable cloud/edge deployments. You will collaborate with data scientists to translate experiments into robust, production-ready solutions and manage cost-efficient GPU