MATHEMATICS INSTRUCTOR FOR AI/ML

Job Description

Bridge theory with applied engineering by instructing cohorts on the
mathematical architecture powering Machine Learning and Generative Al.
Key Skills:
Curriculum Delivery: Each applied Linear Algebra, Calculus, and Probability for engineering.
Applied Mentorship: Translate complex theorems (e.g., Bayes, Eigenvectors) into ML pipelines.
System Deconstruction: Explain the math behind Transformers, Neural
Networks, and Vector Databases.
Technical Skills Required:
Foundational Math: Advanced Linear Algebra, Statistics, and Calculus.
Al & GenAl Math: Expertise in Gradient Descent and Self-Attention.
Retrieval Logic: Proficiency in Vector Database mathematics.
Academic Profile: BE/MS/PhD in Math or CS with teaching experience.