Senior MLOps Engineer - Scale Production ML Pipelines

AgileEngine, LLC.; Richardson (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Growth without limits

Competitive compensation

Flexibility: 100% remote with flexible

Meaningful, modern projects

Collaborative culture

Well-being & support

Job summary

AgileEngine, LLC. is seeking a Middle/Senior MLOps Engineer to own the end-to-end lifecycle from AI/ML experimentation to reliable production deployment.

You will build and maintain the infrastructure, pipelines, and automation required for scalable model deployment and monitoring, working closely with data scientists and AI researchers. The role requires onsite presence in Dallas, TX, with collaboration across teams to translate experimental models into production-ready solutions and optimize

Qualifications

• 3+ years of professional MLOps/DevOps/Data Engineering/ML/Software Engineering experience.
• Degree in Computer Science or a related technical discipline.
• US work authorization and willingness to work onsite in Dallas, TX.
• Hands-on experience with experiment tracking, model registry/versioning, drift detection, and production monitoring.

Responsibilities

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

Skills

MLOps

DevOps

Experiment tracking

Model registry/versioning

CI/CD pipelines

Docker

Kubernetes

Cloud environments

GPU compute management

Communication with data scientists

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

CI/CD tools

Cloud platforms

Terraform

Job description

AgileEngine, LLC. is seeking a Middle/Senior MLOps Engineer to own the end-to-end lifecycle from AI/ML experimentation to reliable production deployment.

You will build and maintain the infrastructure, pipelines, and automation required for scalable model deployment and monitoring, working closely with data scientists and AI researchers. The role requires onsite presence in Dallas, TX, with collaboration across teams to translate experimental models into production-ready solutions and optimize