Sept. 20, 2023, 10:35 p.m. | /u/RepresentativeCod613

Machine Learning www.reddit.com

**TL;DR**
How to build CI/CD pipelines with AWS SageMaker for ML training: https://dagshub.com/blog/ci-cd-for-continuous-training-with-sagemaker/

One of the most time-resources-energy-consuming tasks we face when we build internal projects is setting up an instance for ML training.

It's a repetitive process as we run multiple experiments over the project life cycle, with many steps and configurations that are usually documented poorly and scattered around different places.

As good engineers, we decided to automate the process using CI/CD pipelines.

But how?

We had ZERO …

aws aws sagemaker build continuous energy face instance life life cycle machinelearning multiple pipelines process project projects resources sagemaker tasks training

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US