Axsys IT Interview Questions
The questions to prepare for Axsys IT interviews, across all roles. Questions from real interview reports rank first. Updated daily.
Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
Explain how bagging and boosting differ, and identify a representative algorithm for each ensemble method.
Approach for monitoring a model in production and spotting drift, threshold issues, and calibration loss.
Discuss how to build ML pipelines that are repeatable, traceable, and observable across training and deployment.
Distinguish vanity metrics from metrics that drive decisions in a growth review.
Explain how to validate SQL data before reporting, including null checks, duplicates, outliers, and aggregation reconciliation.
Explain a practical approach to fine-tuning an LLM for a specific task, including data, evaluation, and hallucination risks.
Explain how embeddings and vector databases fit into a retrieval pipeline for grounded AI responses.
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Combine Acxiom customer tables into one profile per customer using the most recent available attributes.
AcxiomAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Total Wine & More
Inc.
Benjamin MooreFilter invalid game events and normalize event names using PostgreSQL string and null handling.
Quantium
Scopely
Carvana