Description:
Responsibilities: Develop and implement automated pipelines for deploying, monitoring, and updating machine learning models in production environments Design and maintain CI/CD pipelines for ML models, ensuring smooth transitions from development to production Monitor model performance in real time, detect degradation or anomalies, and automate retraining and versioning processes Manage and optimize infrastructure for ML workflows, including AWS, Docker, and Kubernetes Collaborate with data scie
Apr 8, 2025;
from:
dice.com