Transitioning from data science to ML engineering often requires stronger software engineering skills. Women can leverage their existing coding knowledge by mastering version control, testing, and scalable coding practices. This combination of data expertise and software craftsmanship positions them as versatile ML engineers capable of delivering production-ready models.
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