MLOps Engineer - Scale Production ML Pipelines (Remote)

AgileEngine; Fort Worth (TX); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Growth without limits

Competitive compensation

Remote-friendly

Modern projects

Collaborative culture

Well-being programs

Job summary

AgileEngine is seeking a Middle/Senior MLOps Engineer to own the full lifecycle from AI/ML experimentation to reliable production deployment in our Dallas, TX team. You will build and maintain the infrastructure, pipelines, and automation needed to deploy models at scale with cost awareness.

Responsibilities include implementing production monitoring, drift detection, experiment tracking, and model versioning; collaborating with data scientists to productionize models; and managing cloud

Qualifications

• 3+ years of professional experience in MLOps, DevOps, Data Engineering, ML, or Software Engineering.
• Degree in Computer Science or Software Engineering (or equivalent practical experience).
• US residents and able to work onsite in Dallas, TX.
• Authorized to work for any employer in the US; no visa sponsorship available.
• Experience with experiment tracking, model registry/versioning, drift detection, and production monitoring.
• Experience navigating cloud environments and managing GPU compute resources.
• Understanding of Docker/Kubernetes and CI/CD design for automated deployments.
• Strong AI/ML fundamentals and ability to communicate with model developers.
• Upper-intermediate English.

Responsibilities

• Own the end-to-end lifecycle 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, dashboards, and drift detection for model accuracy and reliability.
• Manage experiment tracking and model versioning for reproducibility and traceability.
• Collaborate with data scientists and AI researchers to productionize models.
• Manage cloud environments and GPU resources for scalable, cost-effective operations.

Skills

MLOps experience

CI/CD pipelines

Experiment tracking

Model versioning

Cloud governance

Communicate with data scientists

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Job description

AgileEngine is seeking a Middle/Senior MLOps Engineer to own the full lifecycle from AI/ML experimentation to reliable production deployment in our Dallas, TX team. You will build and maintain the infrastructure, pipelines, and automation needed to deploy models at scale with cost awareness.

Responsibilities include implementing production monitoring, drift detection, experiment tracking, and model versioning; collaborating with data scientists to productionize models; and managing cloud