Before diving into machine learning, you need to be proficient in at least one programming language such as Python, R, or Java.
Machine learning relies heavily on statistics, linear algebra, and calculus.
Familiarize yourself with the different types of machine learning such as supervised, unsupervised, and reinforcement learning.
Start by working on small projects and gradually move on to larger ones.
Machine learning is a rapidly evolving field, and new tools and technologies are constantly being developed.
Showcase your skills by building a portfolio of projects on platforms like GitHub or Kaggle.
Attend conferences, participate in online forums and communities, and connect with other machine learning engineers.