Senior MLOps Engineer — Remote & Flexible Hours

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

Benefits offered by this job

Growth without limits

Competitive compensation

Remote-friendly with flexible hours

Meaningful projects with global teams

Collaborative culture

Well-being programs

Job summary

AgileEngine, LLC. is seeking a Middle/Senior MLOps Engineer to own the full lifecycle from experimentation to reliable production deployment. You will build and scale infrastructure, automation, and CI/CD to deploy models efficiently at scale.

The role requires collaboration with data scientists, managing cloud environments and GPU resources for cost-effective scalability, and is based onsite in Dallas, TX.

Qualifications

• 3+ years of professional experience in MLOps, DevOps, data engineering, ML, or software engineering.
• Degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience).
• US work authorization and willingness to work onsite in Dallas, TX.

Responsibilities

• Own the end-to-end lifecycle from AI/ML experimentation to production deployment.
• Build, maintain, and scale infrastructure, automation, and CI/CD for model deployment.
• Implement production monitoring, drift detection, experiment tracking, and model versioning.

Skills

MLOps

DevOps

Data Engineering

Machine Learning

CI/CD

Education

B.S. in Computer Science or related

Tools

Docker

Kubernetes

Cloud platforms

Job description

AgileEngine, LLC. is seeking a Middle/Senior MLOps Engineer to own the full lifecycle from experimentation to reliable production deployment. You will build and scale infrastructure, automation, and CI/CD to deploy models efficiently at scale.

The role requires collaboration with data scientists, managing cloud environments and GPU resources for cost-effective scalability, and is based onsite in Dallas, TX.