Description:
Mix of 60% SRE and 40% MLOps responsibilities.Skills: Kubernetes, Docker, Python, AWS, MongoDB, ML model deployment, CI/CD with GitHub Actions, MLOps frameworks (Kubeflow, MLFlow, Airflow).Role focuses on building MLOps pipelines, cloud deployment, and supporting ML/LLM-based systems.
Sep 2, 2025;
from:
dice.com