The initial interview, facilitated by the HR department, served as a screening process. The HR representative provided a warm introduction to the company, offering insights into its culture and values. Following this introduction, we delved into a discussion about my professional background, where I had the chance to elaborate on my previous work experiences. Subsequently, I progressed to the first technical interview, where I engaged with both an experienced Machine Learning (ML) specialist and a managerial figure. The ML expert initiated an in-depth conversation about various ML concepts and methodologies, allowing me to showcase my expertise in the field. Following this discussion, the manager presented a real-world scenario and requested that I outline an approach and provide an estimation for implementing a new feature—a task that challenged my problem-solving abilities and strategic thinking. Additionally, the ML specialist revisited the conversation, presenting project-related issues and soliciting my insights on potential solutions. The final interview stage involved direct interaction with clients, during which I was presented with specific challenges they were encountering. This segment provided an opportunity for me to demonstrate my ability to address real-world problems and communicate effectively with stakeholders. Overall, the interview process at MEV was rigorous yet rewarding. Each phase provided a unique opportunity to showcase my skills and expertise, while also gaining valuable insights into the company's operations and the challenges it faces.