To hire AI and machine learning-related employees, it is very important to confirm that they have a solid background in mathematics and statistics. They must have an advanced understanding of statistics, probabilities, and math.
But here are some extra qualifications like creativity and innate curiosity and creativity that cannot be denied while selecting employees for AI and machine learning. The excellent capability of innovation and extraordinary thinking helps the employees to excel in the field. So, hiring managers always should consider these criteria while selecting candidates for this sector.
Machine learning is a massive responsibility. Employees need to bear workloads to distribute system architecture. They also need to handle large datasets and process parallel data. It is also very important to decompose the machine-learning solutions into a modular architecture.
Machine learning and AI engineers always need to deal with a unique set of security risks. Because they have to manage complex data. They also have to ensure all the communication channels are secured and managed properly. As they are working in multiple disciplines, they are great communicators. They have to explain risks, and trade-offs to, different members of the team such as data scientists, developers, managers, and business users.