We are looking for an experienced and passionate Mathematics & Statistics Trainer to develop and deliver the mathematical foundations required for Data Science, Machine Learning, and Artificial Intelligence. The trainer should be capable of simplifying complex mathematical concepts for beginners while connecting every topic with real-world AI and Machine Learning applications.
The trainer will be responsible for creating approximately 60–65 hours of high-quality training content, including lectures, practical demonstrations, quizzes, and assignments.
Key Responsibilities
- Design and develop a comprehensive Mathematics & Statistics curriculum for Data Science & AI.
- Deliver engaging classroom sessions or record high-quality video lectures.
- Explain concepts using intuitive visualizations and real-world examples.
- Demonstrate mathematical concepts using Python (NumPy, SciPy, Matplotlib) wherever applicable.
- Develop assessments, quizzes, assignments, and practice exercises.
- Create downloadable notes, presentations, and learning materials.
- Keep course content aligned with current industry standards.
Topics to Cover
Mathematics
Linear Algebra
- Vectors
- Matrices
- Matrix Operations
- Determinants
- Eigenvalues & Eigenvectors
- Singular Value Decomposition (SVD)
Calculus
- Limits
- Differentiation
- Partial Derivatives
- Chain Rule
- Gradients
- Optimization
- Gradient Descent
Probability
- Probability Fundamentals
- Conditional Probability
- Bayes' Theorem
- Random Variables
- Probability Distributions
- Normal Distribution
- Binomial Distribution
- Central Limit Theorem
Statistics
- Descriptive Statistics
- Inferential Statistics
- Sampling Techniques
- Confidence Intervals
- Hypothesis Testing
- Correlation & Covariance
- Regression Analysis
- ANOVA
- Statistical Thinking for Machine Learning
Required Skills
- Strong command of Mathematics and Statistics.
- Excellent teaching and communication skills.
- Ability to simplify complex concepts for beginners.
- Hands-on experience with Python.
- Familiarity with Machine Learning algorithms and AI concepts.
- Experience using Jupyter Notebook.
- Strong presentation and content creation skills.
Pay: ₹20,000.00 per month
Benefits:
- Flexible schedule
- Work from home
Application Question(s):
- Can you provide a 5-10 minute sample lecture video on any Mathematics or Statistics topic?
Work Location: Remote
