Beyond Jupyter Notebooks: The real work behind Production ML systems [D]

One day, someone asked me about my day-to-day work and what ML Platform Engineering entails. They wanted to know how I excelled in this field despite coming from a Software and Data Engineering background. How did I manage to break into ML Platform Engineering and lead an ML platform initiative at my current company, one of the top tech-savvy startups in India? This question made me pause and reflect for a few moments 😄 I realised there is no single answer; it involves a lot of context and background.