AI Instructor

Responsibilities:

• Deliver engaging lessons, ensuring students understand foundational and advanced AI concepts.
• Teach technical topics such as:
• Machine Learning (ML) and supervised/unsupervised learning techniques
• Deep Learning and neural networksNatural Language Processing (NLP), including transformers and Large Language Models (LLMs) like GPT
• Computer Vision (CV) and image recognition techniques
• Reinforcement Learning and its real-world applications
• AI ethics, fairness, and responsible AI practices
• Big Data and AI integration
• AI deployment and implementation using cloud services (e.g., AWS, Azure, GCP Popular AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Facilitate hands-on projects, coding exercises, and practical sessions to help students apply AI concepts.
• Provide clear explanations and guidance to help students tackle complex AI topics.
• Monitor and assess student progress, offering feedback and support to help them succeed.
• Host Q&A sessions, webinars, or additional workshops to enhance student learning.
• Stay updated on AI advancements and incorporate relevant examples and use cases into your teaching.
• Collaborate with the academic team to ensure seamless curriculum delivery and a high-quality learning experience.

Requirements:

• Proven experience teaching or working in AI, with expertise in technical areas such as machine learning, deep learning, LLMs, and NLP.
• Proficiency in Python and AI frameworks like TensorFlow, PyTorch, Keras, or similar tools.
• Strong understanding of AI tools, platforms, and cloud-based implementations.
• Excellent communication and presentation skills, with the ability to break down technical concepts for diverse learners.
• Passion for teaching and a commitment to student success.
• Experience with virtual teaching platforms and tools (e.g., Zoom, Microsoft Teams, or similar).