Become a machine learning engineer in five to seven steps

Summary

The article outlines a five to seven step pathway for becoming a machine learning engineer, emphasizing foundational knowledge in mathematics, programming, and data handling, followed by hands-on project experience and specialization. It highlights the growing demand for machine learning engineers and suggests that a structured, skill-based approach can help newcomers efficiently enter the AI field.