AI & ML Automation Trainer

Key responsibilities

Teach AI fundamentals, machine learning workflows, prompt engineering, and intelligent automation

Guide learners in integrating APIs, no-code or low-code automation tools, and AI services

Lead practical labs and portfolio projects based on real business processes

Update course materials to reflect current AI tools, methods, and responsible-use standards

Requirements

Degree or diploma in Computer Science, Data Science, Artificial Intelligence, or a related field

Practical experience with Python, machine learning libraries, APIs, and workflow automation tools

Understanding of data preparation, model evaluation, generative AI, and responsible AI practices

Experience training, mentoring, or presenting technical concepts is an advantage

A portfolio demonstrating AI, machine learning, or automation projects