Instructor, AGS, Simplilearn (Part time)
About The Position
The Part-Time Instructor for Artificial Intelligence and Machine Learning (AIML) plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs. Instructors facilitate curriculum content, support student learning, and connect technical concepts to real-world industry applications. This role involves teaching live online sessions, mentoring students, providing feedback, and contributing to a collaborative instructional environment. Classes are delivered 100% online in a synchronous format. We are seeking experienced AGS- AI Trainers to deliver live online training sessions covering modern generative models, LLMs, LangChain, RAG, and prompt engineering with hands-on demos and projects.
Requirements
- Generative AI & Foundation Models: Generative AI model types and applications, VAEs and GANs (architecture, use cases, limitations), Transformer-based models and attention mechanisms, Self-attention and multi-head attention
- Language Models & LLMs: Language models fundamentals and applications, Large Language Models (architecture, training, operations, types)
- Retrieval-Augmented Generation (RAG): RAG concepts, components, retrievers, and workflows, Real-world applications of RAG
- LangChain: LangChain architecture and core components, Building applications using LangChain, Prompt, memory, chains, and model integration, Text generation pipelines with Hugging Face models
- Prompt Engineering: Prompt fundamentals and optimization, Zero-shot, few-shot, CoT, Self-Consistency, ToT prompting, Prompt templates and LangChain prompts, Prompt engineering applications (data & synthetic data generation)
- 8+ years of experience in Agentic Ai / Generative AI / NLP / LLMs
- Bachelor’s degree in any field AND a minimum of 5+ years of professional experience in Artificial Intelligence or Machine Learning
- Strong proficiency in Python, LLM frameworks, and LangChain
- Prior online or classroom training experience
Responsibilities
- Deliver live, instructor-led online classes
- Conduct hands-on demos, guided practices, and projects
- Explain concepts using real-world use cases
- Address learner queries and ensure engagement
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What This Job Offers
Job Type
Part-time
Career Level
Mid Level
