Senior MLOps Engineer - Computer Vision & Edge GPUs

AgileEngine, LLC.; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Flextime with on-site option

Competitive USD-based compensation

Job summary

AgileEngine, LLC. is seeking a Middle/Senior MLOps Engineer in Dallas, TX, to move computer vision models from experimentation to reliable production.

The role spans ML infrastructure, GPU optimization, and deployment across cloud and edge environments, with Docker, Kubernetes, and CI/CD driving reproducible pipelines and lifecycle controls. You will lead end-to-end deployment, build scalable pipelines, and partner with data scientists to deliver production-ready CV solutions while balancing

Qualifications

• Authorized to work in the US without sponsorship.
• 3+ years of professional experience in MLOps, DevOps, Data Engineering, ML, or Software Engineering.
• Degree in Computer Science, Software Engineering, or related technical discipline (or equivalent).
• US-based Dallas, TX residents on-site.
• Role focused on Computer Vision and GPU engineering; CV/ML infra experience preferred over LLM/Chatbot work.
• Hands-on MLOps: experiment tracking, model registry/versioning, drift detection, production monitoring.
• CV experience: training CV models on GPUs, dataset management, CV-specific monitoring.
• Cloud & infrastructure: practical cloud navigation and GPU provisioning.
• DevOps & Automation: Docker, Kubernetes, and robust CI/CD pipelines for automated deployments.
• AI/ML Foundation: solid understanding of AI/ML fundamentals to collaborate with model developers.
• Upper-intermediate English level.

Responsibilities

• Own the complete lifecycle transition from AI/ML experimentation to reliable production deployment.
• Build, maintain, and scale infrastructure, automation, and CI/CD workflows for rapid model deployment.
• Implement robust production monitoring, dashboards, and drift detection for model accuracy and reliability.
• Manage experiment tracking and model versioning to ensure reproducibility and traceability.
• Partner with data scientists and AI researchers to translate experiments into production-ready solutions.
• Optimize cloud environments and GPU compute resources for performance and cost efficiency.
• Deploy CV models to cloud and edge environments with GPU optimization.

Skills

MLOps core

Computer vision pipelines

GPU training

Dataset management

Cloud & GPU provisioning

CI/CD pipelines

Docker

Kubernetes

Edge deployment

English communication

3+ years experience

Education

B.S. in CS/Software Engineering or related field

Tools

Docker

Kubernetes

Cloud platforms

CI/CD tooling

Job description

AgileEngine, LLC. is seeking a Middle/Senior MLOps Engineer in Dallas, TX, to move computer vision models from experimentation to reliable production.

The role spans ML infrastructure, GPU optimization, and deployment across cloud and edge environments, with Docker, Kubernetes, and CI/CD driving reproducible pipelines and lifecycle controls. You will lead end-to-end deployment, build scalable pipelines, and partner with data scientists to deliver production-ready CV solutions while balancing