Senior AI Data Scientist | MLabs Talent Partners

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Describe a quantitative model you built that supported decision-making in a high-stakes environment. How did you frame the problem, select features, validate performance, and measure real-world impact? *

How have you detected and addressed model degradation, drift, or behavioral shifts in production systems? What signals or metrics did you track, and how did you respond? *

Explain a RAG pipeline you built. How did you design your embedding strategy, chunking approach, retrieval logic, and re-ranking? How did you validate retrieval quality? *

How have you measured and improved correctness, faithfulness, latency, and cost in a production LLM system? Provide specific metrics and examples of failures you identified and mitigated *

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Have you been in the process with Chaos Labs in the past 12 months either direct or through another recruiter? *

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