Pros
• Good exposure to AI/ML and data-driven projects, especially for early-career professionals. • Opportunity to work on real-world problems rather than only theoretical tasks. • Supportive and approachable leadership that allows open discussions and idea sharing. • Flexible work culture compared to traditional corporate environments. • Encourages learning, experimentation, and taking ownership of responsibilities. • Collaborative team environment with scope to develop both technical and problem-solving skills.
Cons
• As a growing organization, there is continuous evolution, which can require adaptability and self-initiative. • Roles can be dynamic and multifaceted, making it best suited for people who enjoy learning beyond fixed boundaries. • Processes are still being refined, offering opportunities for employees to contribute ideas and improvements.