While education, skills, and experience provide the technical foundation and are essential for a capable machine learning (ML) team, the team will only turn into a strong and successful one when combined with the right soft skills. Education, skills, and experience are very important traits for a capable ML expert. Having a solid educational background in mathematics, computer science, the natural sciences, and statistics provides a strong foundation for understanding the underlying theories and algorithms that drive ML models. In addition, acquiring practical skills through hands-on experience with various programming languages, libraries, and tools is critical for implementing and deploying successful ML solutions. However, the right set of soft skills can transform a team of capable ML experts and turn them into a successful one. These skills complement technical skills.