Both roles have gender representation challenges, but ML engineering often involves breaking into more traditional engineering cultures. Data science may sometimes offer more flexibility in academic or research settings. Women can seek out mentorship, women-in-tech organizations, and allyship programs to navigate and overcome these barriers.
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