Remote MLOps Engineer - Production Deployments

AgileEngine, LLC.; McKinney (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Growth without limits

Competitive compensation

Flexible hours

Meaningful, modern projects

Collaborative culture

Well-being programs

Job summary

AgileEngine is seeking a Middle/Senior MLOps Engineer to own the complete lifecycle from AI/ML experimentation to reliable production deployment. You will build, maintain, and scale the infrastructure, pipelines, and automation needed for fast, cost-effective model deployment, including production monitoring and drift detection.

Based onsite in Dallas, TX, you will collaborate closely with data scientists and AI researchers to translate experimental models into production-ready solutions.

Qualifications

• 3+ years of professional experience in MLOps/DevOps/Data Engineering/Machine Learning/Software Engineering
• Degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience)
• Engineers located in the US must reside in Dallas, TX and be willing to work 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 understanding of AI/ML fundamentals to communicate, troubleshoot, and collaborate with model developers

Responsibilities

• Own the 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 reliability
• Manage experiment tracking and model versioning for reproducibility and traceability
• Collaborate with data scientists and AI researchers to translate experimental models into production-ready solutions
• Manage cloud environments and GPU compute resources for scalable, cost-effective operations

Skills

MLOps

DevOps

Data Engineering

Machine Learning

Software Engineering

Education

CS or related technical discipline

Tools

Docker

Kubernetes

Cloud platforms

Job description

AgileEngine is seeking a Middle/Senior MLOps Engineer to own the complete lifecycle from AI/ML experimentation to reliable production deployment. You will build, maintain, and scale the infrastructure, pipelines, and automation needed for fast, cost-effective model deployment, including production monitoring and drift detection.

Based onsite in Dallas, TX, you will collaborate closely with data scientists and AI researchers to translate experimental models into production-ready solutions.