Difference between ML engineer and Backend engineer

Machine learning (ML) engineers focus on training AI models and working with data, while backend engineers handle server-side logic, databases, and APIs. Both roles require programming skills, but their goals differ significantly.

ML engineers build data-driven models that enable prediction, automation, and AI-powered decision-making. They work with Python, TensorFlow, and Scikit-learn, optimizing algorithm performance.

Backend engineers develop efficient APIs and databases, ensuring smooth app functionality. They use Java, .NET, and Node.js, focusing on scalability and security.

Key takeaways:

• ML engineers work with data science, AI, and predictive models.

• Backend engineers build server logic, APIs, and databases.

• ML relies on Python and AI frameworks, while backend development involves Java, C#, or Node.js.

• Both roles collaborate to create data-driven applications.