ML School Kazakhstan is a free two-year program created with Yandex, Astana Hub, and Alem.ai Foundation. The offline program in Astana trains specialists in ML Engineering, ML Research, and Data Science.
• Shape the academic model, adapt curriculum and materials, and make decisions on content, teaching formats, assignments, and assessment.
• Coordinate instructors, conduct ML and Data Science classes, and monitor academic quality, student progress, and learning outcomes.
• Support student selection and academic assistance; plan the academic calendar and represent the school in the professional and academic community.
• Coordinate instructors, conduct ML and Data Science classes, and monitor academic quality, student progress, and learning outcomes.
• Support student selection and academic assistance; plan the academic calendar and represent the school in the professional and academic community.
• Deep knowledge of machine learning, data analysis, applied mathematics, or related fields; practical ML solution development experience.
• Teaching experience in technical subjects and ability to adapt complex academic content for different student levels.
• Proficiency in Python and major ML and Data Science tools; understanding of modern ML Engineering, ML Research, and Data Science approaches.
• English sufficient for international academic teamwork and professional materials; willingness to work regularly offline in Astana.
• Teaching experience in technical subjects and ability to adapt complex academic content for different student levels.
• Proficiency in Python and major ML and Data Science tools; understanding of modern ML Engineering, ML Research, and Data Science approaches.
• English sufficient for international academic teamwork and professional materials; willingness to work regularly offline in Astana.
• Experience developing educational programs, courses, assignments, or assessment systems; experience leading instructors, research, or educational teams.