MLOps Engineer: Build & Scale Production ML Pipelines

Cloud Analytics Technologies, LLC; Chicago (IL); On-site; USD 120,000 - 210,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking an experienced MLOps/DevOps engineer to design, build, and maintain end-to-end ML pipelines for model development, training, deployment, and monitoring in production.

You will implement CI/CD/CT pipelines, manage containerized ML apps with Docker and Kubernetes, and handle IaC with Terraform or Ansible across AWS/Azure/GCP, ensuring reliability, security, and cost optimization.

Experience with MLflow, Kubeflow, or Metaflow is a plus.

Qualifications

• Hands-on experience with end-to-end ML lifecycle management.

Responsibilities

• Design, build, and maintain end-to-end MLOps pipelines for model development, training, deployment, and monitoring.
• Build and manage CI/CD/CT pipelines for automated model testing, validation, deployment, and retraining.

Skills

MLOps

CI/CD

Docker

Kubernetes

Terraform

Ansible

Python

MLflow/Kubeflow/Metaflow

Tools

Jenkins

GitHub Actions

GitLab CI/CD

Azure DevOps

AWS/Azure/GCP

Job description

Cloud Analytics Technologies, LLC is seeking an experienced MLOps/DevOps engineer to design, build, and maintain end-to-end ML pipelines for model development, training, deployment, and monitoring in production.

You will implement CI/CD/CT pipelines, manage containerized ML apps with Docker and Kubernetes, and handle IaC with Terraform or Ansible across AWS/Azure/GCP, ensuring reliability, security, and cost optimization.

Experience with MLflow, Kubeflow, or Metaflow is a plus.