Skip to content
#

dev-mlops

Star

Here is 1 public repository matching this topic...

Trojan3877 / AWS-SageMaker-Snowflake-ML-Pipeline

Star 1

The **AWS SageMaker + Snowflake ML Pipeline** is a fully production-grade, end-to-end machine learning workflow designed to ingest large-scale data from Snowflake, perform feature engineering with Apache Spark, and train, tune, and deploy models on AWS SageMaker—all orchestrated and versioned with CI/CD, Terraform, and Ansible.

data-engineering infrastructure-as-code ci-cd-pipeline observability-pipeline model-training-and-tuning dev-mlops
  • Updated Jun 6, 2025
  • Python

Improve this page

Add a description, image, and links to the dev-mlops topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the dev-mlops topic, visit your repo's landing page and select "manage topics."

Learn more