1. Develop a strong understanding of the fundamentals of machine learning, including the different algorithms and techniques used.
2. Become proficient in programming languages related to machine learning, such as Python and R.
3. Familiarize yourself with the machine learning tools and frameworks commonly used in the US, such as scikit-learn, TensorFlow, PyTorch, and Keras.
4. Practice solving real-world machine learning problems using data sets and tools available online.
5. Work on developing your communication skills, as many machine learning jobs involve collaborating with other teams.
6. Brush up on your knowledge of the different job roles in machine learning and the skills required for each.
7. Network and make connections with professionals in the field.
8. Consider getting certified in machine learning to demonstrate your expertise and knowledge.