MLOps Engineer: Build Scalable AI Deployments (Onsite)

Tech Mirrors; Cincinnati (OH); On-site; USD 76,000 - 83,000; Full time

Job summary

Tech Mirrors in Cincinnati, OH is seeking an experienced MLOps Engineer on a contract basis to design, deploy, automate, and monitor machine learning solutions in production. You will bridge Data Science and DevOps to build scalable ML pipelines and ensure reliable model performance.

Proficiency in Python, MLflow, Docker, Kubernetes, cloud platforms, and ML deployment frameworks is required. You will implement CI/CD, manage model lifecycles, and build secure, scalable infrastructure for AI

Qualifications

• 8-10 years of experience in MLOps or related field.
• Proficient in building scalable ML pipelines and deploying models to production.
• Experience with containerization and orchestration tools (Docker, Kubernetes).

Responsibilities

• Design, deploy, automate, and monitor machine learning solutions in production.
• Bridge Data Science, ML, and DevOps to build scalable MLOps pipelines.
• Implement CI/CD processes and manage model lifecycle operations.

Skills

Python

MLflow

Docker

Kubernetes

Cloud platforms

CI/CD

Model lifecycle

Tools

CI/CD

Job description

Tech Mirrors in Cincinnati, OH is seeking an experienced MLOps Engineer on a contract basis to design, deploy, automate, and monitor machine learning solutions in production. You will bridge Data Science and DevOps to build scalable ML pipelines and ensure reliable model performance.

Proficiency in Python, MLflow, Docker, Kubernetes, cloud platforms, and ML deployment frameworks is required. You will implement CI/CD, manage model lifecycles, and build secure, scalable infrastructure for AI