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6min chapter
#004 - Kubernetes For Humans Podcast with Andy McMahon (NatWest Group)
Kubernetes for Humans
Transitioning from Data Scientist to ML Engineer
The speaker discusses their background and transition from a PhD in physics to working in the field of data science and ML engineering. They explain their interest in applying complex problem-solving and data analysis skills to real-world problems and generating value, as well as their shift towards ML engineering and their current role focused on strategy and MLOps in the banking industry. They also explore the reasons why this transition is more common among MLOps professionals and less common in the banking industry, and emphasize the need for data scientists to become more proficient in engineering skills.
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