Freelance AI & Data Science Trainer (Subject Matter Expert)

About the role

MENMOZHI TECHNOLOGIES is seeking experienced freelance trainers to deliver online and offline training programs across India. As a Subject Matter Expert, you will design and lead practical, industry‑focused courses in AI, Machine Learning, Data Science and related technologies for corporate, academic and professional audiences.

Key responsibilities

• Design structured curricula and create training materials such as presentations, notebooks, and assignments.
• Deliver engaging classroom or virtual sessions covering AI, ML, Deep Learning, Data Science, Python, Generative AI, and more.
• Provide hands‑on demonstrations, coding walkthroughs, and real‑world use‑case discussions.
• Mentor learners, give constructive feedback, and guide project work.
• Manage multiple training assignments and adapt content to evolving requirements.

Required profile

• Strong foundation in Artificial Intelligence, Machine Learning and Data Science with practical project experience.
• Proven ability to design curricula and produce high‑quality training materials.
• Excellent verbal and written communication skills.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering or equivalent industry experience.
• Interest or experience in AI applications for Banking, Finance, Healthcare or Agriculture is a plus.
• Self‑motivated, able to work independently and handle multiple engagements.

Required skills

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Data Science & Analytics
• Python programming
• Generative AI & Large Language Models
• Cybersecurity
• Cloud Computing
• DevOps / MLOps / LLMOps
• IoT & Edge Computing
• Software Development

What we offer

• Opportunities to conduct both online and offline training programs.
• Corporate, institutional and academic training assignments across India.
• Flexible freelance engagement model.
• Collaboration with a fast‑growing AI technology company.
• Exposure to emerging technologies and real‑world industry use cases.