About this role
About: Simplilearn Simplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.
Simplilearn has collaborated with Full stack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally
Job SummaryWe are seeking experienced Generative AI Trainers to deliver live online training sessions covering modern generative models, LLMs, LangChain, RAG, and prompt engineering with hands-on demos and projects.
Key ResponsibilitiesDeliver live, instructor-led online classesConduct hands-on demos, guided practices, and projectsExplain concepts using real-world use casesAddress learner queries and ensure engagement Required Skills & ExpertiseGenerative AI & Foundation ModelsGenerative AI model types and applicationsVAEs and GANs (architecture, use cases, limitations)Transformer-based models and attention mechanismsSelf-attention and multi-head attention Language Models & LLMsLanguage models fundamentals and applicationsLarge Language Models (architecture, training, operations, types) Retrieval-Augmented Generation (RAG)RAG concepts, components, retrievers, and workflowsReal-world applications of RAG LangChainLangChain architecture and core componentsBuilding applications using LangChainPrompt, memory, chains, and model integrationText generation pipelines with Hugging Face models Prompt EngineeringPrompt fundamentals and optimizationZero-shot, few-shot, CoT, Self-Consistency, ToT promptingPrompt templates and LangChain promptsPrompt engineering applications (data & synthetic data generation) Model I/O & Data HandlingModel I/O (prompts, LLMs, output parsers)Document loaders (CSV, PDF, HTML, JSON, Markdown)Text splitters and embeddings in GenAI Qualifications10+ years of experience in Generative AI / NLP / LLMsStrong proficiency in Python, LLM frameworks, and LangChainPrior online or classroom training experience
Benefits
Compensation:
Part-Time Instructors are hourly, non-exempt employees. As such they will be compensated for all time worked. Part-time Instructors can expect to work approximately 8-10 hours per week and should not exceed expected hours without manager approval.
The expected compensation for this role for candidates is $50 per hour for candidates who fulfill the qualifications for the role.