MLOps Engineer — CV Pipelines, GPU, Edge/Cloud (Remote)

AgileEngine, LLC.; Jacksonville (FL); 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, LLC. seeks a Middle/Senior MLOps Engineer to move computer vision models from experimentation into reliable production. You will build reproducible pipelines, monitoring, and lifecycle controls for image and video workloads using Docker, Kubernetes, and CI/CD.

Role emphasizes GPU optimization, edge and cloud deployment, and collaboration with data scientists to productionize CV workloads.

Qualifications

• 3+ years in MLOps, DevOps, Data Engineering, ML, or Software Eng.
• Degree in Computer Science/Software Eng or equivalent practical experience.

Responsibilities

• Own end-to-end lifecycle from ML experimentation to production deployment.
• Build, maintain, and scale infra, automation, and CI/CD for rapid model deployment.
• Implement production monitoring, dashboards, and drift detection for CV workloads.
• Manage model versioning and experiment tracking for reproducibility.
• Collaborate with data scientists to translate experiments into production-ready solutions.
• Optimize cloud and GPU resources for cost-effective, high-performance workloads.
• Deploy CV models to cloud and edge environments with performance tuning.

Skills

MLOps

DevOps

Data Engineering

Machine Learning

Software Engineering

Education

Bachelor's in CS or related field

Tools

Docker

Kubernetes

CI/CD

Job description

AgileEngine, LLC. seeks a Middle/Senior MLOps Engineer to move computer vision models from experimentation into reliable production. You will build reproducible pipelines, monitoring, and lifecycle controls for image and video workloads using Docker, Kubernetes, and CI/CD.

Role emphasizes GPU optimization, edge and cloud deployment, and collaboration with data scientists to productionize CV workloads.