Palabra.ai: Техническое собеседование

Выводы и как готовиться

• The round is closer to production data engineering than ML theory: storage guarantees, orchestration, backups and resource isolation matter throughout.
• The speech-AI domain adds practical ASR/TTS data-flow constraints, not only model training questions.
• Several questions are good trainer material because they force concrete infrastructure trade-offs rather than buzzword answers.