Machine Learning in the Real World: Insights from an ML Engineer in the Rideshare Industry
About This Video
In this talk, Rachita Naik shares her journey and experiences as a Machine Learning Engineer at Lyft, detailing the path that led her to pursue a career in the field. A recent graduate in Computer Science from Columbia University, Rachita will discuss how her interest in ML and Data Science developed – highlighting key experiences, pivotal academic projects and courses that were instrumental in securing her role at Lyft and continue to shape her professional growth. Rachita will delve into specific ML use cases addressed at Lyft, highlighting common challenges encountered when productionizing and scaling ML models in dynamic environments. She will also share effective strategies and best practices for overcoming these challenges. Additionally, Rachita will share the most rewarding aspects of her job and offer practical advice and tips for aspiring ML engineers. The talk aims to equip the audience with valuable insights, knowledge and inspiration to advance their own career in Machine Learning.
View the slides for this workshop.
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