Walmart Global Tech India Senior MLE / DS Interview Guide
Walmart Global Tech India (Bangalore + Chennai) hires senior MLE / DS for Walmart.com personalisation, supply chain forecasting, search, fraud, and Walmart Connect ads. The interview tests retail ML at global scale plus the engineering bar of a large org. This guide covers it.
Walmart Global Tech India is one of Walmart's largest engineering centres outside the US, supporting Walmart.com, Sam's Club, Walmart Connect (ads), and supply chain. Senior MLE / DS roles cover personalisation, search, demand forecasting (massive scale: many products × stores × days), fraud, returns prediction, and Walmart Connect attribution.
The loop structure (Senior MLE / DS)
Standard loop: recruiter screen → coding + ML → ML system design → hiring manager + behavioural.
Round-by-round breakdown
Phone + screen. ML + coding mix.
On-site rounds. Two coding (LeetCode medium-hard), one ML depth (probability, ML fundamentals, calibration), one system design (retail scale).
What Walmart Global Tech India weights distinctively
1. Retail scale. Forecasting and personalisation at billions of impressions. 2. Omnichannel. Online + offline + click-and-collect. 3. Supply chain ML. Demand forecasting integrated with fulfillment. 4. Stable, large-org culture. Less aggressive than fintech, more depth-focused.
Top 10 questions
1. "Design demand forecasting for Walmart at SKU × store × day." 2. "Personalisation on Walmart.com — architecture." 3. "Omnichannel attribution — online view, offline buy." 4. "Search ranking — multi-task across CTR, conversion, GMV." 5. "Fraud detection at checkout — patterns and architecture." 6. "Returns prediction — what features?" 7. "Coding: efficient implementation problem." 8. "Calibration in CTR for Walmart Connect." 9. "Diagnose engagement drop on a category page." 10. "Walk through your most impactful project."
Prep path through MSL — Tier 5, Tier 7, Tier 8 (all). Posts 70-72 (RecSys), 89 (CTR), 125 (Hierarchical Forecasting), 88 (Time Series).
Common failure modes — Surface forecasting depth, weak coding, no omnichannel awareness.
Compensation. Walmart Global Tech India Senior MLE / DS in 2026 ranges ₹40 lakh – ₹70 lakh for 5-7 YOE base + stock. Staff ₹90 lakh+.