Remote MLOps Engineer: Scale AI Deployments & Pipelines

AgileEngine, LLC.; Jacksonville (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Growth without limits

Competitive compensation

Flexibility

Meaningful projects

Collaborative culture

Well-being & support

Job summary

AgileEngine, LLC. is seeking a Middle/Senior MLOps Engineer to own the lifecycle from AI/ML experimentation to production deployment.

You will build and maintain infrastructure, pipelines, and automation to deploy models at scale, with production monitoring, drift detection, experiment tracking, and model versioning. Based onsite in Dallas, TX, you will collaborate with data scientists to turn experiments into robust, scalable solutions.

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).
• US work authorization; Dallas, TX onsite.
• Hands-on experience with experiment tracking, model registry/versioning, drift detection, and production monitoring.
• Strong practical experience navigating cloud environments and managing/provisioning GPU compute resources.
• Deep understanding of containerization (Docker, Kubernetes) and designing robust CI/CD pipelines for automated deployments.
• Solid foundation in AI/ML fundamentals to communicate with applied model developers.

Responsibilities

• Own the complete lifecycle transition from AI/ML experimentation to reliable, high-performance production deployment.
• Build, maintain, and scale the infrastructure, automation, and CI/CD workflows for rapid model deployment.
• Implement production monitoring systems, dashboards, and drift detection to ensure model accuracy and system reliability.
• Manage experiment tracking and model versioning to ensure reproducibility and traceability of all models in production.
• Partner with data scientists and AI researchers to translate experimental models into production-ready solutions.
• Manage cloud environments and GPU compute resources for scalable and cost-efficient operation.

Skills

MLOps / DevOps

Experiment tracking

Model registry/versioning

Drift detection

Production monitoring

Cloud environments

GPU compute resources

Docker & Kubernetes

CI/CD pipelines

AI/ML fundamentals

Dallas, TX onsite

Education

CS/Software Engineering degree

Tools

Docker

Kubernetes

CI/CD tools

AWS/GCP/Azure

Job description

AgileEngine, LLC. is seeking a Middle/Senior MLOps Engineer to own the lifecycle from AI/ML experimentation to production deployment.

You will build and maintain infrastructure, pipelines, and automation to deploy models at scale, with production monitoring, drift detection, experiment tracking, and model versioning. Based onsite in Dallas, TX, you will collaborate with data scientists to turn experiments into robust, scalable solutions.