Description:
Job Role - MLOPS Engineer Exp - 5-8 Years Location - Austin, TX Primary Skill: MLOPs, GPU, GPU configuration, Kubernetes , logging and Monitoring Requirements: 3+ years of experience in ML Engineering, DevOps, or Infrastructure Engineering with a focus on ML workflows. Proficiency with cloud platforms (AWS, Google Cloud Platform, Azure) and orchestration tools (Kubernetes, Airflow, etc.). Experience with MLOps frameworks such as MLflow, Kubeflow, Metaflow, or SageMaker. Strong coding sk
Sep 16, 2025;
from:
dice.com