SAP Machine Learning Engineer Interview Questions

2100+ verified questions, indexed by team and level. Real questions submitted by candidates who completed SAP loops in the last 24 months.

About the SAP Machine Learning Engineer hiring loop

SAP uses Career Levels T1 (junior) → T4 (principal). Technical rounds drill on ABAP, BTP, S/4HANA. Hub-specific variants — Walldorf weighted on rigour, Bangalore on delivery, Palo Alto on product. Bilingual German + English in Walldorf.

ML Engineering rounds score on ML system design depth (latency, throughput, freshness, fairness trade-offs), training-infra fluency, and the bridge between model offline metrics and product KPIs. Coding is secondary to ML system thinking.

Topics covered in SAP Machine Learning Engineer interviews

  • 01ML system design (recommendations, ranking, search, fraud, ads)
  • 02Training infrastructure (distributed training, sharding, gradient sync)
  • 03Inference at scale (batching, KV-cache, quantisation)
  • 04Feature engineering and feature stores
  • 05Model evaluation (offline metrics vs online metrics, counterfactual)
  • 06Coding (Python, PyTorch / TensorFlow internals)

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