Senior MLOps Engineer — Production & Scale

AgileEngine, LLC.; Arlington (TX); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Learning budget

Competitive pay

Remote work

Modern projects

Collaborative culture

Well-being programs

Job summary

AgileEngine, LLC. is seeking a Middle/Senior MLOps Engineer to own the lifecycle from AI/ML experimentation to production deployment, building infra, pipelines, and automation for scalable model delivery.

Based onsite in Dallas, TX, you will collaborate with data scientists to turn experimental models into production-ready solutions. You will implement production monitoring, drift detection, experiment tracking, and model versioning while managing cloud environments and GPU resources for

Qualifications

• Authorized to work for ANY employer in the US; visa sponsorship not provided.
• 3+ years of professional MLOps, DevOps, Data Engineering, ML, or Software Eng.
• Degree in Computer Science, Software Engineering, or related technical discipline (or equivalent).
• US-based engineers must reside in Dallas, TX and be onsite.
• Hands-on experience with experiment tracking, model registry/versioning, drift detection, and production monitoring.
• Strong experience navigating cloud environments and provisioning GPU compute resources.
• Deep understanding of containerization (Docker, Kubernetes) and CI/CD pipelines.
• Solid AI/ML fundamentals to communicate with model developers.

Responsibilities

• Own the complete lifecycle transition from AI/ML experimentation to production deployment.
• Build, maintain, and scale infra, automation, and CI/CD for models.
• Implement production monitoring, dashboards, and drift detection.
• Manage experiment tracking and model versioning for reproducibility.
• Collaborate with data scientists to translate experiments into production-ready solutions.
• Manage cloud environments and GPU resources for scalable, cost-effective systems.

Skills

MLOps

DevOps

Data Engineering

Machine Learning

Software Engineering

Cloud Computing

GPU Compute

CI/CD

Containerization

Education

CS/Software Eng degree

Tools

Docker

Kubernetes

Job description

AgileEngine, LLC. is seeking a Middle/Senior MLOps Engineer to own the lifecycle from AI/ML experimentation to production deployment, building infra, pipelines, and automation for scalable model delivery.

Based onsite in Dallas, TX, you will collaborate with data scientists to turn experimental models into production-ready solutions. You will implement production monitoring, drift detection, experiment tracking, and model versioning while managing cloud environments and GPU resources for