Statistics show that 75% of online resources for preparing for a Machine Learning Engineer interview at Amazon focus on general ML concepts, system design, and leadership principles. However, these resources often neglect the specific job description for roles centered on Generative AI. For a position primarily involving the application of GenAI solutions, customization, and fine-tuning of Large Language Models, traditional topics like PCA, K-means, and linear regression may be less relevant. Additionally, data structures and algorithms appear to be nearly irrelevant in this context. Candidates preparing for such interviews are advised to prioritize GenAI-related concepts over a broad approach. Insights from those with prior experience in this department or similar roles could provide valuable guidance on aligning interview preparation with the job’s specific requirements.
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