As a senior ML engineer, how do you balance staying technically hands-on with leadership responsibilities? How do you avoid becoming a bottleneck while remaining technically relevant?

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Balancing technical depth with leadership is one of the central challenges for senior engineers. The right balance evolves as you grow and depends on organizational needs. I think about this balance in terms of where I create the most value.