The MLOps Blog

SEPTEMBER 7, 2023

Have you ever talked to your Front-end or Back-end engineer peers and noticed how much they care about code quality? Writing legible, reusable, and efficient code has always been a challenge in the software development community. This situation is not different in the ML world.

Software Engineer 52

Software Engineer Machine Learning ETL ML Engineer 52

AWS Machine Learning Blog

JANUARY 10, 2024

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. The input to the training pipeline is the features dataset.

ML 92

ML Machine Learning ETL Data Scientist 92

The MLOps Blog

MARCH 15, 2023

This includes the tools and techniques we used to streamline the ML model development and deployment processes, as well as the measures taken to monitor and maintain models in a production environment. Costs: Oftentimes, cost is the most important aspect of any ML model deployment. I would say the same happened in our case.

ETL 52

ETL Data Drift Machine Learning ML 52