ML Engineer

An ML Engineer focuses on building, deploying, and maintaining machine learning systems in production. They bridge the gap between data science and software engineering, taking models developed by data scientists and making them scalable, reliable, and efficient for real-world applications. This involves tasks like data pipeline construction, model deployment, performance monitoring, and infrastructure management.

Visit the following resources to learn more:

• @article@What Is a Machine Learning Engineer? (+ How to Get Started)