Description:
Must have: Expertise in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong Experience in deployment/devops technologies: CI/CD pipelines, Kubernetes/Docker, and infrastructure-as-code tools (Terraform, Ansible, etc.). and cloud-native architectures (Google Cloud Platform and Aruze), monitoring and observability for ML workloads Advanced understanding of ML pipeline orchestration tools like Kubeflow, MLflow, Airflow, or TFX.Nice to have: Experience with dis
Jul 23, 2025;
from:
dice.com