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
- Robust command of Mathematics and Statistics.
- Excellent teaching and communication skills.
- Ability to simplify complex concepts for

📌 Part Time (India)
🏢 Corporate CubiclesInfinity Private
📍 India