Description:
Position: MLOps Engineer Location: Austin, TX (Onsite/Hybrid) Duration: Fulltime Rate: (As Discussed) Overview: We are seeking a skilled and proactive MLOps Engineer to help bridge the gap between data science and production engineering. You ll be responsible for building and maintaining the infrastructure, tooling, and workflows required to develop, test, deploy, and monitor machine learning models at scale. Responsibilities: Build and maintain CI/CD pipelines for ML model development, testing,
Jun 30, 2025;
from:
dice.com