From ML Pipelines to Production: 6 Lessons from Senior AI Engineers

ML pipelines to production

Every machine learning engineer eventually encounters this challenge: a model that performs perfectly in a notebook often fails in production. The problem isn’t the algorithm itself; it’s everything surrounding it. In a lab environment, data is clean, schemas are consistent, and dependencies remain stable. However, in a production environment, data changes daily, infrastructure evolves, and … Read more

Curiosity is the Skill You Should Hire, and Strive For

A resume or CV doesn’t usually tell you the full story. It also doesn’t give the right format for you to effectively tell your story. Why has this become the way that we review candidates or to try to become a potential candidate then? I’m a firm believer that the most important of all the … Read more

Using the Terraform Map Function

How many times have you had something you’re building in Terraform where you use dynamic counting or things that need you to map one value to another? One clear example I had very recently for my fully automated EKS lab using Terraform for AWS was the need to distribute my nodes across availability zones. How … Read more

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