About
Conduct live, interactive training sessions and workshops for experienced data practitioners Prepare practical workshop scenarios and develop reusable training materials Collaborate with the curriculum team to ensure alignment between live and asynchronous content
Required Qualifications
5+ years of experience in data science or machine learning engineering, focusing on supervised learning and time series Strong knowledge of Python and core machine learning libraries such as Scikit-learn and Pandas Hands-on experience in building and deploying machine learning models in real-world settings Ability to translate complex machine learning concepts into engaging learning experiences Fluent in English (written and spoken); proficiency in Russian or Spanish is a plus
Languages
- English
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