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.
