Dallas-based MLOps Engineer — Production ML & CI/CD

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

Benefits offered by this job

Growth without limits

Competitive compensation

Flexibility with remote work

Meaningful, modern projects

Collaborative culture

Well-being & support

Job summary

AgileEngine, an Inc. 5000 company, is seeking a Middle/Senior MLOps Engineer to own the lifecycle from experimentation to production deployment in Dallas, TX.

You will build and maintain infrastructure, pipelines, and automation for scalable model deployment while ensuring robust monitoring and cost-effective GPU resources. Collaborate with data scientists and AI researchers to translate experiments into production-ready solutions, with a focus on reproducibility, model versioning, and CI/CD

Qualifications

• 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or 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.

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 not only highly scalable but also cost-effective.

Skills

MLOps/DevOps/Data Eng/ML/Software Eng

Dallas, TX onsite residency

AI/ML fundamentals

Experiment tracking & model versioning

CI/CD fundamentals

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Job description

AgileEngine, an Inc. 5000 company, is seeking a Middle/Senior MLOps Engineer to own the lifecycle from experimentation to production deployment in Dallas, TX.

You will build and maintain infrastructure, pipelines, and automation for scalable model deployment while ensuring robust monitoring and cost-effective GPU resources. Collaborate with data scientists and AI researchers to translate experiments into production-ready solutions, with a focus on reproducibility, model versioning, and CI/CD