ML Ops & Model Governance Engineer

Technogen, Inc.; Kentucky; On-site; USD 120,000 - 150,000; Full time

Job summary

A leading tech recruitment firm is seeking a Machine Learning Operations (MLOps) Engineer. This role involves managing the end-to-end lifecycle of machine-learning models, ensuring they are compliant and production-ready. Candidates should have a Bachelor's or Master's degree in a relevant field, with at least eight years of experience in MLOps and model governance. The successful applicant will design MLOps pipelines, implement governance standards, and collaborate with various teams to maintain model performance and compliance standards.

Qualifications

• 8+ years of experience in MLOps, ML platform engineering, or model governance roles.
• 5+ years managing ML model lifecycle governance in production environments.
• Experience implementing monitoring and alerting for model performance.

Responsibilities

• Manage the full ML model lifecycle, including development handoff, validation, approval, deployment.
• Define and enforce model governance standards and controls.
• Design and implement MLOps pipelines for model packaging and deployment.

Skills

MLOps

Model governance

Python

CI/CD

Machine learning frameworks

Model performance 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 leading tech recruitment firm is seeking a Machine Learning Operations (MLOps) Engineer. This role involves managing the end-to-end lifecycle of machine-learning models, ensuring they are compliant and production-ready. Candidates should have a Bachelor's or Master's degree in a relevant field, with at least eight years of experience in MLOps and model governance. The successful applicant will design MLOps pipelines, implement governance standards, and collaborate with various teams to maintain model performance and compliance standards.