In a session at the Testμ 2023 Conference, Shivani Gaba, Engineering Manager at Beyonnex, shared her journey and insights into testing machine learning (ML) applications without prior experience, emphasizing the evolving and essential role of testers in the ML domain. Despite initial uncertainty and skepticism, Shivani highlighted the challenges and learning curves she faced, including understanding complex ML concepts like precision and recall, and the importance of data quality in model training. She illustrated how testers can leverage their expertise in quality assurance by focusing on data integrity, collaborating with developers, and bringing a fresh, end-user perspective to identify and prevent potential issues in ML systems. Shivani underscored the value of traditional testing skills while adapting to new challenges, such as ensuring data quality, feature selection, and model evaluation, to enhance the overall quality of ML-based applications. She also addressed audience questions, encouraging testers to embrace unconventional thinking and leverage open resources for learning, without the necessity for deep data science expertise.