Description:
Strong experience with Google Cloud Platform (Google Cloud Platform) services, specifically in the MLOps and ML domain (Vertex AI, Kubeflow, Cloud Storage, Artifact Registry). Proven ability to design and implement end-to-end ML pipelines for data management, model training, and deployment. Hands-on experience with containerization technologies like Docker. Familiarity with CI/CD practices and pipeline automation. Knowledge of ML frameworks like TensorFlow, and experience with experiment trackin
Nov 5, 2025;
from:
dice.com