Instructor, Gen AI, Simplilearn (Part time) at Fullstack Academy

, , United States -

Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

50.0

Posted On

03 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Foundation Models, LLMs, LangChain, RAG, Prompt Engineering, VAEs, GANs, Transformer-based Models, Self-Attention, Multi-head Attention, Hugging Face Models, Python, Model I/O, Document Loaders, Text Splitters

Industry

Education Administration Programs

Description

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 Summary We 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 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 Required Skills & ExpertiseGenerative 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) Model I/O & Data Handling Model I/O (prompts, LLMs, output parsers) Document loaders (CSV, PDF, HTML, JSON, Markdown) Text splitters and embeddings in GenAI Qualifications 10+ years of experience in Generative AI / NLP / LLMs Strong proficiency in Python, LLM frameworks, and LangChain Prior online or classroom training experience 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.

Responsibilities

The instructor will deliver live, instructor-led online classes covering modern generative models, LLMs, LangChain, RAG, and prompt engineering, including hands-on demonstrations and projects. Key duties involve explaining concepts using real-world use cases and actively addressing learner queries to ensure engagement.