Remote MLOps Engineer: Scale Production ML & CI/CD

AgileEngine; Addison (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Growth without limits

Competitive compensation

Flexibility

Meaningful, modern projects

Collaborative culture

Well-being & support

Job summary

AgileEngine in Dallas, TX is seeking a Middle/Senior MLOps Engineer to own the complete lifecycle from experimentation to production deployment, building scalable infrastructure and CI/CD pipelines for models.

You will implement production monitoring, drift detection, experiment tracking, and model versioning while managing cloud environments and GPU resources, collaborating closely with data scientists to productionize experiments.

Qualifications

• 3+ years of professional experience in MLOps, DevOps, Data Engineering, ML, or Software Engineering
• Degree in Computer Science or Software Engineering or equivalent
• US-based on-site work in Dallas, TX

Responsibilities

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

Skills

MLOps

DevOps

Data Engineering

Machine Learning

Software Engineering

English Proficiency

Education

Degree in Computer Science

Software Engineering

Tools

Docker

Kubernetes

Job description

AgileEngine in Dallas, TX is seeking a Middle/Senior MLOps Engineer to own the complete lifecycle from experimentation to production deployment, building scalable infrastructure and CI/CD pipelines for models.

You will implement production monitoring, drift detection, experiment tracking, and model versioning while managing cloud environments and GPU resources, collaborating closely with data scientists to productionize experiments.