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Data Scientist vs. Machine Learning Engineer



DeepLearning.AI and FourthBrain invite you to join us at the live event focused on comparing Data Scientists vs. Machine Learning Engineers, including career progressions and career opportunities.

The speakers plan to discuss:
– What are the main differences between the two roles?
– What each role does in a typical workday?
– What is the typical career progression of each role?
– What are the skills required for each role?
– What roadmap do you recommend for someone transitioning from DS to MLE?
– How can a non CS or non engineering background person with no prior experience of the DS or ML start?
– With the lines blurring between the roles of a Data Scientist and MLE, what’s the future trends of these two roles?

Speakers:
Aishwarya Srinivasan (https://www.linkedin.com/in/aishwarya-srinivasan/), AI & ML Innovation Leader, IBM
Kate Strachnyi (https://www.linkedin.com/in/kate-strachnyi-data/), Founder, DATAcated
Steve Nouri (https://www.linkedin.com/in/stevenouri/), Official member and contributor, Forbes Tech Council

To learn more about DeepLearning.AI and sign up for future events: https://www.deeplearning.ai/events/
To learn more about how FourthBrain’s program can help you transition into roles in MLE and MLOps: https://www.fourthbrain.ai/

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