MLOps Engineer

Hiring: MLOps Engineer

Location: Cincinnati, Ohio — Onsite Company: Fifth Third Bank Contract: 6 months, with possible extensions Start Date: ASAP Openings: 1

We are seeking an experienced MLOps Engineer to bridge the gap between data science experimentation and production engineering. The ideal candidate will have hands-on experience across the machine learning lifecycle, including pipeline development, model deployment, CI/CD automation, production monitoring, and ongoing model support.

Key Responsibilities

• Build and maintain automated pipelines supporting the end-to-end machine learning lifecycle.
• Partner with data scientists and engineering teams to transition ML models from experimentation to production.
• Develop scalable solutions using Python and SQL.
• Implement and enhance CI/CD pipelines for machine learning applications.
• Deploy, monitor, maintain, and troubleshoot production ML models.
• Identify and resolve performance, reliability, and deployment issues.
• Establish repeatable MLOps workflows, automation, and engineering best practices.

Required Qualifications

• 4+ years of hands-on MLOps experience.
• Strong proficiency in Python and SQL.
• Understanding of the end-to-end machine learning lifecycle.
• Experience with ML pipelines, model deployment, CI/CD, and production monitoring.
• Ability to bridge data science experimentation and production engineering effectively.

Preferred Qualifications

• Experience with AWS and Amazon SageMaker.
• Experience automating ML workflows and managing production model deployments.