AI/ML Technical Trainer

Roles and Resposnibilities

• Deliver engaging training sessions on artificial intelligence, machine learning, and generative AI concepts.
• Design hands-on coding labs on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) workflows.
• Guide learners through complex neural networks, data preprocessing, and vector database integration.
• Assess student progress and provide helpful feedback on building and fine-tuning AI models.
• Support learners in developing real-world AI applications to build a strong professional portfolio.

Key Skills:

• Generative AI & Architecture: LLMs (OpenAI, Hugging Face, Llama), RAG frameworks (LangChain, LlamaIndex), and Vector Databases (Pinecone, Chroma, Milvus).
• Technical Expertise: Deep learning, NLP, computer vision, data preprocessing, and model deployment.
• Programming & Frameworks: Python, SQL, TensorFlow, PyTorch, and Scikit-Learn.
• Core Competencies: Curriculum design, technical mentoring, public speaking, and code review.