About the Role

Eligibility Criteria
- Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, Cyber Security, or a related field.
- 8-12 months of experience through internships, projects, training roles, or professional work in AI/ML or Generative AI.
- Fresh graduates with a strong portfolio of AI-related projects and demonstrable skills are encouraged to apply.

Key Responsibilities
- Assist in conducting and progressively lead live training sessions, workshops, and webinars.
- Deliver training on Generative AI fundamentals, Prompt Engineering, Python programming, and AI tools.
- Support the development and enhancement of training curriculum, learning materials, assignments, and assessments.
- Manage Learning Management System (LMS) content and monitor learner progress.
- Simplify complex AI concepts and adapt explanations for both technical and non-technical audiences.
- Stay updated with emerging AI technologies, tools, and industry trends.

Required Skills:




- Working knowledge of Generative AI concepts and Large Language Models (LLMs) such as GPT, Claude, and Gemini.
- Basic understanding of Retrieval-Augmented Generation (RAG) and AI Agent frameworks.
- Proficiency in Python programming, including libraries such as Pandas and NumPy.
- Understanding of Prompt Engineering principles and best practices.
- Strong verbal and written communication skills.
- Passion for teaching, mentoring, and continuous learning.

Preferred Qualifications
- Familiarity with Machine Learning and Deep Learning concepts.
- Prior experience in training, tutoring, mentoring, or conducting workshops will be an advantage.
- Relevant certifications in AI, Machine Learning, Data Science, or Generative AI.

What We Offer
- Chance to work on cutting-edge AI technologies and real-world projects.
- Structured mentorship and professional growth pathway into a senior instructor role.
- Exposure to corporate training programs a

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