MLOps & Model Governance Engineer for Compliance & CI/CD

Compunnel, Inc.; Louisville (KY); On-site; USD 120,000 - 150,000; Full time

Job summary

A technology consulting firm is seeking an ML Ops / Model Governance Engineer to oversee the lifecycle of machine learning models. You will manage model validation, deployment, and compliance, partnering with various teams to meet audit requirements. The ideal candidate should have at least 8 years of experience in MLOps and strong Python skills. A Bachelor’s or Master’s degree in a relevant field is required. This position supports scalable and reliable ML operations in a regulated environment.

Qualifications

• 8+ years of experience in MLOps or model governance roles.
• 5+ years managing ML model lifecycle governance in production.
• 4+ years of experience with model versioning and CI/CD.

Responsibilities

• Manage the complete ML model lifecycle including validation and deployment.
• Define and enforce model governance standards and policies.
• Design and maintain MLOps pipelines for model management.

Skills

MLOps

Model governance

Python

CI/CD pipelines

Model monitoring

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering or related field

Tools

MLflow

SageMaker Model Registry

AWS

Azure

GCP

Docker

Kubernetes

Job description

A technology consulting firm is seeking an ML Ops / Model Governance Engineer to oversee the lifecycle of machine learning models. You will manage model validation, deployment, and compliance, partnering with various teams to meet audit requirements. The ideal candidate should have at least 8 years of experience in MLOps and strong Python skills. A Bachelor’s or Master’s degree in a relevant field is required. This position supports scalable and reliable ML operations in a regulated environment.