MLOps Engineer — Production ML Pipelines

Evlo AI; Raleigh (NC); On-site; USD 140,000 - 180,000; Full time

Job summary

Evlo AI is seeking an MLOps Engineer to own the infrastructure and pipelines turning ML experiments into reliable, production-grade systems. You will work at the intersection of platform engineering and machine learning, collaborating with ML engineers and data scientists to speed training, deployment, and monitoring.

The role emphasizes scalable model serving, observability, cost-efficient training, and infrastructure as code with Terraform, Kubernetes manifests, and feature stores.

Qualifications

• 3–6 years of experience in MLOps, platform engineering, or DevOps with significant ML workloads in production.

Responsibilities

• Design and maintain CI/CD pipelines for ML workflows covering training jobs, model evaluation gates, and automated deployments.

Skills

Python

Scripting

Kubernetes

Docker

CI/CD

MLOps

Terraform

Education

Bachelor's degree

Tools

SageMaker

Vertex AI

Azure ML

MLflow

Weights & Biases

Job description

Evlo AI is seeking an MLOps Engineer to own the infrastructure and pipelines turning ML experiments into reliable, production-grade systems. You will work at the intersection of platform engineering and machine learning, collaborating with ML engineers and data scientists to speed training, deployment, and monitoring.

The role emphasizes scalable model serving, observability, cost-efficient training, and infrastructure as code with Terraform, Kubernetes manifests, and feature stores.