Typically, the following qualifications are beneficial for a career in AI and ML:
Education: A degree in computer science, data science, statistics, engineering, or a related field. Advanced degrees (Master's or Ph.D.) can be advantageous.
Mathematics: Strong knowledge of linear algebra, calculus, and statistics.
Programming Skills: Proficiency in programming languages such as Python, R, or Java.
Experience: Practical experience through projects, internships, or work experience in relevant fields.