AI/ML Engineering Instructor – Live Teaching Role

About the role

Ayonaire Academy is seeking an AI/ML Engineering Instructor to deliver its full‑stack AI Engineering curriculum. The role involves three live classes per week, guiding learners from Python basics to advanced Generative AI, RAG, and Agentic AI projects.

Key responsibilities

• Conduct live teaching sessions covering Python, classical ML, deep learning, computer vision, NLP, and modern AI engineering topics.
• Mentor learners, review assignments and end‑to‑end projects, and provide constructive feedback.
• Support career readiness through mock interviews, interview preparation, and guidance on presenting AI/ML projects to employers.
• Collaborate with the curriculum team to keep course content aligned with current industry practices.

Required profile

• Strong foundation in AI/ML engineering with hands‑on experience building end‑to‑end projects across Python, ML, CV, DL, Agentic AI, and Generative AI.
• Practical experience deploying AI/ML solutions, including model training, evaluation, MLOps (Git, Docker, CI/CD) and cloud deployment.
• Familiarity with Gen AI tools, LLMs, RAG, LangChain/LangGraph, and their business applications.
• Experience designing and delivering technical training or bootcamps.
• Ability to explain complex concepts clearly, mentor diverse learners, and work remotely with distributed teams.

Required skills

• Python
• TensorFlow
• PyTorch
• scikit‑learn, pandas, NumPy
• Git, Docker, CI/CD pipelines
• Cloud deployment platforms
• LangChain, LangGraph
• Vector databases (ChromaDB, FAISS, Pinecone)
• Model Context Protocol (MCP)