
AI Expert
7 days ago
We are seeking a talented and experienced AI Faculty Member to join our esteemed EdTech institution.
This is an exciting opportunity for professionals who enjoy teaching, mentoring, and making complex AI concepts accessible and relevant to business contexts. You will deliver engaging live online sessions on weekends, helping adult learners and working professionals master the real-world application of Data Science and Artificial Intelligence.
Key Responsibilities:
- Deliver live online classes on core AI and Data Science topics, including Data Analytics & Visualization, Machine Learning & Deep Learning, Generative AI & Agentic AI Systems, Natural Language Processing (NLP), Computer Vision, AI Strategy & Business Use-Cases, AI Ethics & Responsible AI, and more.
- Design and teach lessons that are practical, application-focused, and tailored to business relevance.
- Incorporate real-world case studies and examples to demonstrate the integration of AI into various industries and functions.
- Encourage active learning through discussions, hands-on activities, and project work.
- Mentor learners, supporting them with project guidance, assignment feedback, and doubt-clearing sessions.
- Collaborate with academic and operations teams to ensure smooth delivery and an excellent learner experience.
Requirements:
- 7+ years of experience in the AI, Machine Learning, or Data Science space (industry or academic).
- 2+ years of experience teaching online, preferably to adult learners or business professionals.
- Strong grasp of both technical depth and business application—you can teach concepts like neural networks and also explain how AI drives business transformation.
- Excellent communication and storytelling skills, with the ability to simplify complex topics.
- Hands-on experience with tools such as Python, Jupyter Notebooks, TensorFlow or PyTorch, Tableau/Power BI, and Git.
Preferred Qualifications:
- Experience mentoring capstone or industry projects.
- Exposure to Generative AI, Agentic AI frameworks, or LLM-based systems.
- A portfolio of past workshops, content, or instructional material.
- Experience in curriculum design and learner assessments.
What We Offer:
Our team provides a supportive environment where you can grow professionally and personally. We offer opportunities for career advancement and professional development.
How to Apply:
Please submit your resume and cover letter to us.
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