Remote MLOps Engineer — Scale Production Pipelines

AgileEngine; Irving (TX); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Growth without limits

Competitive compensation

Remote work

Meaningful, modern projects

Collaborative culture

Well-being & support

Job summary

AgileEngine in Dallas, TX, is seeking a Middle/Senior MLOps Engineer to own the full lifecycle from AI/ML experimentation to reliable production deployment.

You will build and maintain infrastructure, pipelines, and automation for fast, scalable model delivery, implement monitoring, drift detection, and model versioning, and optimize cloud/GPU resources. Collaborate with data scientists to translate experimental models into production-ready solutions.

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 work authorization required; onsite in Dallas, TX.

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 necessary for rapid and efficient model deployment.
• Implement robust production monitoring systems, build visibility dashboards, and set up data and concept drift detection to ensure ongoing model accuracy and system reliability.
• Manage experiment tracking and model versioning to ensure full reproducibility and traceability of all models in production.
• Partner closely with data scientists and AI researchers to translate experimental models into robust, production-ready solutions.
• Manage cloud environments and GPU compute resources to ensure systems are scalable and cost-effective.

Skills

MLOps

DevOps

Data Engineering

Machine Learning

Software Engineering

Education

Bachelor's degree in Computer Science or Software Engineering

Tools

Docker

Kubernetes

Job description

AgileEngine in Dallas, TX, is seeking a Middle/Senior MLOps Engineer to own the full lifecycle from AI/ML experimentation to reliable production deployment.

You will build and maintain infrastructure, pipelines, and automation for fast, scalable model delivery, implement monitoring, drift detection, and model versioning, and optimize cloud/GPU resources. Collaborate with data scientists to translate experimental models into production-ready solutions.