Breaking into machine learning (ML) requires not just basic knowledge but also a deep understanding of the math and engineering behind models. Completing online courses is only a starting point.
Internships and real project experience are crucial for landing a job in ML. It's important to have skills that stand out, like publications or open-source contributions.
Interview preparation is key; practicing coding challenges and understanding ML concepts is necessary to succeed. Networking and applying quickly to job postings can improve your chances.