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Machine Learning / AI Engineer interview questions: the 8 to ask
A machine learning / AI engineer ships reliable models and AI applications to production, including LLM-based ones.
- 1.How do you evaluate an LLM-based application?
- 2.How do you build a reliable RAG system?
- 3.How do you cut inference latency?
- 4.How do you detect data drift?
- 5.How do you version models and data?
- 6.Fine-tuning or prompting: which criteria?
- 7.How do you limit hallucinations?
- 8.How do you control the cost of model calls?
Tip: for every answer, ask for a concrete example (situation, action, result). An answer without an example is worth half.
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