Project-Based AI Instructor Full Time NEW

Required Training Areas

The instructor should be capable of delivering practical and implementation-focused training in the following domains:

AI & Programming Foundations

• Python for AI Development
• Programming Fundamentals
• APIs & System Integrations
• Git & GitHub Collaboration
• Problem Solving & Logical Thinking

Data Analysis & Visualization

• Data Cleaning & Preprocessing
• Exploratory Data Analysis (EDA)
• Pandas & NumPy
• Data Visualization using Python / Power BI / Tableau
• Dashboarding & Data Storytelling

Machine Learning Fundamentals

• Supervised & Unsupervised Learning
• Regression & Classification
• Model Evaluation Techniques
• Feature Engineering
• Scikit-learn Practical Applications

Advanced Machine Learning Techniques

• Ensemble Learning Models
• Hyperparameter Tuning
• Recommendation Systems
• Time Series Fundamentals
• Natural Language Processing (NLP) Basics

Introduction to Deep Learning

• Neural Network Fundamentals
• TensorFlow / PyTorch Basics
• CNNs & RNNs Overview
• Computer Vision & NLP Use Cases

AI Deployment & Project Integration

• AI Model Deployment Concepts
• REST APIs for AI Solutions
• Cloud Deployment Basics
• AI Integration into Applications
• MLOps Fundamentals

Capstone Project Supervision

Guide trainees through a complete AI project lifecycle including:

• Requirement Analysis
• Dataset Preparation
• Model Development
• Testing & Validation
• Deployment
• Documentation & Presentation

Requirements

• Strong hands-on experience in AI, Machine Learning, and practical solution development.
• Previous experience in technical training, mentoring, bootcamps, or coaching.
• Excellent communication, presentation, and facilitation skills.
• Ability to combine theoretical knowledge with real-world implementation.
• Strong proficiency in Python and AI/ML frameworks and libraries.
• Experience with AI deployment and integration is highly preferred.
• Ability to manage and mentor project-based learning environments.
• Portfolio, GitHub profile, or previous practical project samples are highly preferred.

Preferred Qualifications

• Experience delivering intensive AI bootcamps or technical academies.
• Knowledge of Generative AI, LLMs, AI Agents, or modern AI workflows is a strong plus.
• Experience with Azure, AWS, or GCP cloud environments is an advantage.
• Industry experience in building production-ready AI applications is preferred.