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Bartosz Mikulski
Leveraging AI to drive growth and innovation
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I worked as a data scientist and that was the worst job I have ever had.
I believed in the Sexiest Job of 21 Century hype. I was wrong.
MLOps engineer, you will need those three books every day!
Don't reinvent the wheel as a MLOps engineer. The 3 books you must read in 2022
Why should you use a feature store
Benefits of having a feature store and what happens when you don't have one
Data pipeline documentation without wasting your time
How to document an ETL pipeline or ML inference pipeline without doing useless work
How to run batch inference using Sagemaker Batch Transform Jobs
Running a batch machine learning job using Sagemaker and data stored in S3.
How to build maintainable software by abstracting the business rules in data engineering
Are we building the right abstractions?
Testing legacy data pipelines
Do you struggle with maintaining your legacy data pipelines? Check out our article on how to add tests and refactor your code while working with legacy data pipelines.
Secrets of mentoring junior software engineers
How to quickly train junior engineers to make them as productive as the rest of the team
What does your data pipeline need in production?
When you're debugging a failing production pipeline at 2 am, what do you need?
How to pass a machine learning engineer interview
Trivial (and easily fixable) mistakes that will make you fail a job interview
Why do data engineers quit?
Why do data engineers quit their jobs?
What is the essential KPI of an MLOps team?
What KPI to measure in an MLOps team
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