The interview process revealed a major mismatch between the job description and the actual role expectations. During the recruiter screen, a hard requirement was building ML infrastructure and APIs from scratch—something not clearly stated in the posting and more aligned with an ML Engineer role than Product/Risk Data Science. This kind of late-stage criteria shift wastes candidates’ time and suggests the role scope is not well defined internally. Strongly recommend clearer, more honest job descriptions to avoid misleading applicants.