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Machine Learning Instructor Internship

InternshipRemoteonline
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Applications closed: 06/08/2026

Skills for this role

Skills we detected for this role.

  • Python
  • Machine Learning
  • scikit-learn
  • Pandas
  • NumPy
  • Content Writing
  • Deep Learning
  • PyTorch
  • TensorFlow

Opportunity brief

About the Role: LearnDepth Academy LLP (Learn Depth) is looking for a passionate Machine Learning Instructor who enjoys teaching and can explain technical concepts in a simple and practical way. The instructor will be responsible for delivering Machine Learning sessions, recording course content, developing structured curricula, creating learning materials, and supporting students throughout their learning journey. Responsibilities of the Candidate: Conduct online Machine Learning classes and practical sessions. Explain ML concepts in a simple, beginner-friendly manner. Record high-quality course lectures and tutorials. Design and develop Machine Learning course curricula. Prepare presentations, notes, assignments, quizzes, and practical exercises. Develop hands-on Machine Learning projects and case studies. Guide students with projects, assignments, and technical doubts. Evaluate student progress and provide constructive feedback. Research and update course content according to current industry requirements. Collaborate with the Learn Depth team to improve course quality and learning outcomes. Perform other academic and instructor-related responsibilities when required. Requirements: Good understanding of Python and Machine Learning. Knowledge of NumPy, Pandas, Matplotlib, and Scikit-learn. Understanding of supervised and unsupervised learning concepts. Familiarity with data preprocessing, model training, evaluation, and basic ML projects. Good communication and presentation skills. Ability to teach technical concepts clearly. Comfortable recording video lectures/classes. Ability to independently create structured educational content. Previous teaching, mentoring, tutoring, or content creation experience is an advantage. Candidates with practical Machine Learning projects or portfolios will be preferred. Benefits: Flexible part-time remote opportunity. Practical experience in EdTech and technical education. Opportunity to build teaching and curriculum-development experience. Certificate/experience recognition upon successful completion, as applicable. Opportunity for full-time conversion based on performance and organizational requirements.

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