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      Machine Learning Engineer 4 Interview

      May 29, 2025
      Anonymous interview candidate
      No offer
      Negative experience
      Average interview

      Application

      I interviewed at Panasonic

      Interview

      Reached out to internal employee for referral. Interview got scheduled within a week. The interview process focused heavily on Python scripting, DevOps-style deployment questions, and low-level parameter tuning in models like XGBoost. Contrary to the job description, there were no system design or architecture questions, which are typically expected at this level. Candidates with a strong ML system design background should clarify upfront whether the focus aligns with their expertise, as the rounds were more execution-level and less strategic/architectural.

      Interview questions [1]

      Question 1

      1. Parameters in XGBoost model 2. Horizontal Pod AutoScaling parameter in Kubernetes cluster 3. Feast
      Answer question

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