Senior MLOps Engineer - Remote Growth & Impact

AgileEngine, LLC.; Orlando (FL); On-site; USD 110,000 - 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, LLC. is seeking a Middle/Senior MLOps Engineer to own the full lifecycle from experimentation to production deployment. You will build and maintain infrastructure, pipelines, and automation to deploy models at scale, with monitoring, drift detection, and versioning in production.

You will collaborate with data scientists and AI researchers, manage cloud environments and GPU resources, and ensure cost-effective, reliable deployments at our Dallas onsite location.

Qualifications

• Authorized to work in the United States without visa sponsorship.
• 3+ years of professional experience in MLOps, DevOps, data engineering, ML, or software engineering.
• Degree in Computer Science, Software Engineering, or related discipline.
• US-dwelling engineers must reside in Dallas, TX and be onsite.
• Hands-on experience with experiment tracking, model registry/versioning, drift detection, and production monitoring.
• Strong experience navigating cloud environments and managing/provisioning GPU compute resources.
• Deep understanding of containerization (Docker, Kubernetes) and CI/CD pipelines.
• Solid AI/ML fundamentals for communicating with model developers.

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 scalable and cost-effective.

Skills

MLOps/DevOps

Data Engineering

Machine Learning

Software Engineering

Experiment tracking

Model registry/versioning

Drift detection

Production monitoring

Cloud environments

Docker/Kubernetes

CI/CD pipelines

AI/ML fundamentals

Education

Bachelor's degree in Computer Science / Software Engineering or related field

Tools

Docker

Kubernetes

Job description

AgileEngine, LLC. is seeking a Middle/Senior MLOps Engineer to own the full lifecycle from experimentation to production deployment. You will build and maintain infrastructure, pipelines, and automation to deploy models at scale, with monitoring, drift detection, and versioning in production.

You will collaborate with data scientists and AI researchers, manage cloud environments and GPU resources, and ensure cost-effective, reliable deployments at our Dallas onsite location.