Data Engineer, Machine Learning Engineer, and Site Reliability Engineer What are the differences?

What is Data Engineer (DE)?

What is Machine Learning Engineer?

What is Site Reliability Engineer?

Let’s compare these three positions with this scenario:

  1. Data Engineer would extract all required data, organise it, and build a data pipeline and load the data into a data warehouse.
  2. Machine Learning Engineer would feed and train the analytical model with data to make it self-running and scale it out to the production level.
  3. Site Reliability Engineer would develop software focusing on reliability and automatic incident response.




Leading big data and AI-powered solution company

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Natural Language Processing (NLP)and CountVectorizer

NLP: Machine Learning Algorithms For Text Classification, The Basics

Adagrad and Adadelta Optimizer: In-Depth Explanation

Global and Local Minima | insideaiml

Web Application of Image Processing

Loan Prediction Using Machine Learning

Why You Should Introduce Machine Learning Into Your Marketing Now

Guide to Becoming a Python Machine Learning Engineer in 2021

How WekaIO Matrix Reduces Wall Clock Time for AI in Financial Modeling

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store


Leading big data and AI-powered solution company

More from Medium

Distributed Machine Learning Development

End to End Deep Learning for Production based on TFX and Spark(Part 1)

ML Model Optimization for low compute environments

People Might Be Your Most Precious Resource in MLOps