using Python.
Neural Networks & Deep Learning (optional)
Natural Language Processing (NLP) and Computer Vision (optional)
Develop training materials: presentations, assignments, projects, quizzes, and case studies.
Guide students on capstone projects and real-world ML/AI applications.
Provide mentoring, doubt-clearing, and interview preparation support.
Evaluate and assess learner progress through practical and theoretical assessments.
Required Skills and Qualifications:
Bachelor's or Master's in Computer Science, Data Science, AI, or a related field.
Strong Python programming skills.
In-depth understanding of ML algorithms such as linear regression, decision trees, clustering, etc.
Experience using Jupyter Notebooks or Google Colab for teaching or demos.
Excellent communication and presentation skills.
Experienced :
6+ Month Experienced required .
Freshers can also applied .