Work with your interviewer to identify churn signals and brainstorm retention strategies.
Practice brainstorming a full ML pipeline—from data ingestion to model deployment.
Give SQL Interview to Evaluate your SQL Preparedness.
Give Power BI Interview to Evaluate Your Power BI Preparedness.
Pitch a transformer design for underrepresented languages with your interviewer.
Discuss trade-offs when deploying ML in healthcare—focus on ethics and impact.
Build a data lake to combine real-time and batch data from e-commerce platforms.
Troubleshoot a failing pipeline and suggest robust fixes.
Design and deploy a fraud detection model with low latency constraints.
Optimize model latency for a recommender system under traffic spikes.
Plan a fine-tuning pipeline for summarizing legal docs.
Collaborate with your interviewer to reduce token usage without harming output quality.
Walk through setting up a CI/CD pipeline that auto-retrains and deploys safely.
Design a drift detection and alerting framework with your interviewer.
Lead a roadmap session and defend trade-offs between high-risk and high-impact AI features.
Build a user flow for an AI-powered onboarding bot—balance tech and UX.