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October 11, 2022

[Webinar] Machine Learning Engineering Career Panel

About the Event

Do you have questions about Machine Learning Engineering and how to search for an MLE/MLOps job, even after reading multiple blog posts and articles?

Come talk to the real experts! Our speakers will share with you their personal journeys and views on choosing MLOps as a career.

Many AI projects fail due to the lack of MLOps expertise to help put ML in production. Companies now realize that building successful AI products requires Data Engineers, Scientists, ML Engineers, and Product Managers to work in a team.

AI/ML Engineers play an essential role in putting models in production and ensuring models can be continuously integrated and deployed (CI/CD) with high-quality data (data-centric AI).


  • Introduction to Machine Learning Engineering
  • Panel Discussion: Career in MLE/MLOps
  • Q&A

Who is this event for?

  • Are you interested in pursuing a career in Machine Learning Engineering and MLOps?
  • Do you want to know what a career in MLOps entails?
  • Do you want to know what it takes to become a Machine Learning Engineer?

If you said yes to any of the above questions, then you don’t want to miss this FREE Career Panel.

Event Details
6:30 pm -
 8:00 pm EST/EDT
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Shaohua Zhang
Chief Instructor (WeCloudData) | Head of Data Science (BeamData) | Startup Advisor and Data Coach
Shaohua is the Co-founder and Chief Instructor at WeCloudData. In the past few years, he has trained hundreds of students and helped many of them launch their data science careers. He is also the CEO and Head of Data Science at Beam Data where he works closely with the industry partners on implementing data science projects. Prior to co-founding the Toronto Institute of Data Science and Technology (WeCloudData), he led the data science team at BlackBerry and helped build the data science practice at Kik. He has also worked with big companies such as TD, Canadian Tire, Sunlife, CIBC, Communitech, and MaRS on upskilling their data teams.
Indrani Gorti
Director of Platform and ML engineering, Loblaw Digital
Indrani Gorti is a polyglot with experience in data engineering, data science, and solving business problems using ML and AI. She has worked in major industries like Finance, Telecommunications, Technology, Retail, and Startups. Her work has involved end-to-end projects from data ingestion, data analysis to the deployment of models in various setups using user transaction and interaction logs. Indrani is a Director of Platform and ML engineering at Loblaw Digital. She holds a BS and MS in Computer Science.
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WeCloudData is the leading data science and AI academy. Our blended learning courses have helped thousands of learners and many enterprises make successful leaps in their data journeys.

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