Remote MLOps Engineer: Scale Production AI Pipelines

AgileEngine, LLC.; Richmond (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Growth without limits

Competitive compensation

Flexibility — 100% remote with hours

Meaningful, modern projects

Collaborative culture

Well-being & support

Job summary

AgileEngine is seeking a Middle/Senior MLOps Engineer to own the lifecycle from AI/ML experimentation to reliable production deployment at scale. You will build and maintain infra, CI/CD workflows, and monitoring while coordinating with data scientists and AI researchers.

Based onsite in Dallas, TX, you will manage cloud environments and GPU resources, ensuring cost-effectiveness and robust production readiness across multiple models.

Qualifications

• 3+ years of professional experience in MLOps, DevOps, data engineering, ML, or software eng.
• Degree in Computer Science, Software Engineering, or related technical discipline (or equivalent).
• Experience with cloud environments and GPU compute resources.

Responsibilities

• Own the lifecycle from experimentation to production deployment.
• Build and scale infrastructure, automation, and CI/CD for model deployment.
• Implement production monitoring, drift detection, and model versioning.

Skills

MLOps

DevOps

Data Engineering

Machine Learning

Software Engineering

Education

Computer Science or related field

Tools

Docker

Kubernetes

Job description

AgileEngine is seeking a Middle/Senior MLOps Engineer to own the lifecycle from AI/ML experimentation to reliable production deployment at scale. You will build and maintain infra, CI/CD workflows, and monitoring while coordinating with data scientists and AI researchers.

Based onsite in Dallas, TX, you will manage cloud environments and GPU resources, ensuring cost-effectiveness and robust production readiness across multiple models.