MLOps Engineer — End-to-End ML Pipelines & Deployments

MACHINE LEARNING TECHNOLOGIES LLC; Chicago (IL); On-site; USD 140,000 - 210,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an experienced MLOps Engineer in Chicago to design, develop, and maintain end-to-end ML pipelines, deploy models to production, and ensure reliable, scalable operations.

You will build CI/CD/CT pipelines, manage containerized ML apps, and collaborate with data scientists to optimize deployment workflows across AWS, Azure, or GCP. Strong Python and IaC skills required.

Qualifications

• Hands-on experience designing end-to-end MLOps pipelines and production ML workloads.

Responsibilities

• Design, develop, and maintain end-to-end MLOps pipelines for model development, training, deployment, and monitoring.

Skills

MLOps

CI/CD

Cloud platforms

Python scripting

DevOps practices

Monitoring & observability

Tools

Docker

Kubernetes

Terraform

Ansible

GitHub Actions

Jenkins

Git

MLflow

Kubeflow

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking an experienced MLOps Engineer in Chicago to design, develop, and maintain end-to-end ML pipelines, deploy models to production, and ensure reliable, scalable operations.

You will build CI/CD/CT pipelines, manage containerized ML apps, and collaborate with data scientists to optimize deployment workflows across AWS, Azure, or GCP. Strong Python and IaC skills required.