Added
20 days ago
Type
Full time
Salary
Salary not provided

Related skills

docker aws python pandas tensorflow

๐Ÿ“‹ Description

  • Review and adapt ML/AI lectures and assignments; update curriculum.
  • Deliver live lectures; total time ~8 hours per week.
  • Lead lectures on ML/AI topics; perform code review with fellows.
  • Respond to student questions via Slack, Zoom or related tools; mentor support.
  • Provide regular feedback on student performance during the 5-month program.
  • Update materials periodically and monitor course evaluations.

๐ŸŽฏ Requirements

  • Technical background in math, programming, and machine learning.
  • Hands-on AI/ML experience solving real-world problems.
  • Proficient with Python ML stack: NumPy, Pandas, scikit-learn.
  • Experience with deep learning frameworks: TensorFlow, PyTorch; Docker.
  • Cloud and data libs: AWS, Airflow, SQL.
  • Strong written and verbal English; teaching passion.

๐ŸŽ Benefits

  • Remote work opportunity.
  • Direct impact on AI training and LatAm talent.
  • Collaborative, mission-driven team environment.
  • Opportunities for growth in ML education.
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