GEN AI Instructor

Generative AI Instructor

We are seeking an experienced and passionate Generative AI Instructor to educate and empower aspiring developers, data scientists, and business professionals in the rapidly evolving field of Generative AI (GenAI). The ideal candidate will have 1-3 years of technical experience in Machine Learning (ML), with significant hands-on experience in developing, training, and deploying generative models.

This role is critical in bridging the gap between foundational AI / ML knowledge and practical, real-world Generative AI application development.

Roles & Responsibilities

• Conduct Structured Training : Design and lead comprehensive training programs on the theory, implementation, and application of Generative AI technologies, including Large Language Models (LLMs), Generative Adversarial Networks (GANs), and Diffusion Models.
• Curriculum Development : Create and update high-quality learning materials, hands-on labs, guided projects, assignments, and assessments to ensure a cutting-edge and effective learning experience.
• Core Concept Instruction : Teach fundamental concepts such as deep learning architectures (Transformers, VAEs), prompt engineering, model fine-tuning (e.g., LoRA), transfer learning, and ethical AI principles.
• Project Mentorship : Guide learners in building practical GenAI applications across various modalities, such as text generation (chatbots, summarization), image / video synthesis, and code generation.
• Technical Support & Review : Review learner code, troubleshoot complex technical implementations, and provide one-on-one technical mentorship.
• Stay Current : Maintain deep expertise in the latest GenAI research, open-source models, frameworks, and cloud services.
• Facilitate Interactive Learning : Host live coding sessions, practical workshops, and in-depth Q&A / debugging sessions.
• Adapt Pedagogy : Adjust teaching methodology and content based on the learners' technical background, ranging from foundational Python / ML knowledge to advanced Generative AI development.

Technology-Specific Responsibilities

Generative Model Theory & Implementation :

Large Language Models (LLMs) & APIs :

Multimodal Generative AI :

Deployment & MLOps :

Responsible AI & Ethics :

Requirements

Preferred Skills