How to Build Machine Learning Projects That Help You Get Hired

To get hired in machine learning, it is crucial to build projects that go beyond basic tutorials. One effective strategy is to re-implement a research paper, such as "Attention Is All You Need," which demonstrates the ability to understand complex models and code sophisticated algorithms. Another powerful approach is to solve a problem you are personally interested in, as this shows genuine motivation and creates a compelling narrative for interviews. Projects can be further improved by adding complexity and scale, such as deploying them end-to-end using cloud systems like AWS, containerizing with Docker, or building an interactive application for users.