Pros
Supportive mentors, access to real-world datasets, flexible work culture, exposure to practical AI/ML applications, and well-structured project timelines.
Cons
Limited cross-team collaboration, occasional delays in receiving feedback, and slightly less focus on deployment or MLOps aspects for interns.