Pros
-Exposure to end-to-end ML pipeline (data preprocessing, model building, deployment, monitoring).
-Good mentorship from senior data scientists and engineers.
-Opportunity to work on real business problems with measurable impact.
-Strong focus on learning and upskilling (workshops, online course sponsorships, tech talks).
-Collaborative and inclusive team culture.