A

AI/ML Engineering Instructor

ayonaire academy • Nigeria
Remote
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AI Summary

Deliver Ayonaire's full AI Engineering curriculum through live teaching sessions, mentoring, and career support for working professionals and career-gap learners. Break down complex AI/ML topics into structured, practical lessons centered on real-world projects and provide constructive feedback to build job-ready skills. Requires strong hands-on AI/ML engineering experience, proficiency in Python and deep learning frameworks, and ability to mentor diverse learners remotely.

Key Highlights
Live teaching role with 3 classes per week covering Python foundations through Agentic AI and deployment
Ownership of student outcomes through mentoring, assignment review, mock interviews, and career readiness support
Must record a short teaching video as part of the application process
Key Responsibilities
Deliver live teaching sessions covering the full AI Engineering curriculum from Python foundations to Agentic AI
Mentor learners and provide constructive feedback on assignments and end-to-end module projects
Support learners with career readiness including mock interviews, interview prep, and project presentation guidance
Collaborate with the curriculum team to keep course content aligned with current industry practice
Break down complex AI/ML topics into simple, structured, digestible lessons built around real-world problem statements
Technical Skills Required
Python Machine Learning Deep Learning
Nice to Have
Experience with vector databases (ChromaDB, FAISS, Pinecone)
Prior experience with Model Context Protocol (MCP)
Knowledge of industry domains such as finance, telecom, e-commerce, FMCG, insurance, and hospitality
Familiarity with Gen AI tools, LLMs, RAG, LangChain/LangGraph, and AI automation workflows

Job Description


COMPANY DESCRIPTION


APPLY HERE: https://talents.betternship.com/company/talents/ai-engineering-instructor-at-ayonaire-academy


Ayonaire Academy is a tech career academy focused on practical, industry-relevant skills not generic certifications or theory-heavy modules. Our mission is to help talents land global jobs and opportunities through global skills and mentorship. We are building the #1 tech school in Africa, modeled after Harvard Business School, where quality of education comes before institutional reputation.

Our AI Engineering program takes learners from complete beginner to job-ready AI Engineer through real business projects, hands-on portfolio work, and structured career support including an ATS resume builder, LinkedIn AI agent optimizer, mock interviews, and a smart job assistance portal.


We help students build their resume, LinkedIn, and GitHub with an Ayonaire-branded portfolio customized to their background, and support them with mock interviews and interview round preparation until they get placed.


Our program is designed to build 1-2+ years' equivalent AI Engineer-level confidence, the kind of confidence that helps you crack real AI Engineer interviews.


This is a full-stack AI course built for working professionals, executives, freshers, and career-gap learners, designed to support job placement into AI/ML Engineer, Gen AI Engineer, Agentic AI Engineer, and AI Product Manager roles.


We teach from zero coding experience through Python, SQL, Statistics, Machine Learning, NLP, Gen AI, LLMs, RAG, Prompt Engineering, AI Agents, and Deployment all hands-on. Our culture is excellence, and we measure success by student outcomes, not attendance.


APPLY HERE: https://talents.betternship.com/company/talents/ai-engineering-instructor-at-ayonaire-academy


ROLE DESCRIPTION

The AI/ML Engineering Instructor is a live teaching role (3 classes per week) responsible for delivering Ayonaire's full AI Engineering curriculum from Python foundations and classical ML through Deep Learning, Computer Vision, NLP, and into modern AI Engineering: Generative AI, RAG, LangChain, LangGraph, Agentic AI, and MCP. This is not a "watch and repeat" teaching role — it's ownership of how students actually become AI Engineers.


You will break down complex, often intimidating topics into simple, structured, digestible lessons — every class built around a real-world problem statement, not abstract theory. Daily responsibilities include teaching live sessions, mentoring learners, reviewing assignments and end-to-end module projects, and giving constructive feedback that pushes students toward professional-grade work. You'll also support learners with career readiness — mock interviews, interview prep, and guidance on presenting AI/ML projects to employers — and collaborate with the curriculum team to keep course content aligned with current industry practice.


QUALIFICATIONS

  • Strong foundation in AI/ML engineering, including machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and applied data science workflows
  • Must have built end-to-end projects across Python, Machine Learning, Computer Vision, Deep Learning, Agentic AI, and Generative AI
  • Practical experience building and deploying AI/ML solutions — model training, evaluation, MLOps practices, and integration into production environments (Git, Docker, CI/CD, cloud deployment)
  • Familiarity with Gen AI tools, LLMs, RAG, LangChain/LangGraph, AI automation workflows, and their application to real business problems
  • Proficiency in Python and relevant libraries/tools (scikit-learn, pandas, NumPy) • Experience designing and delivering technical training, bootcamps, or courses including creating clear, structured learning materials and hands-on projects
  • Ability to mentor learners of diverse backgrounds, explain complex concepts in simple terms, and provide actionable feedback that builds skill and confidence
  • Comfortable working remotely with distributed teams, using online collaboration tools, and maintaining reliable communication and availability for live classes
  • Knowledge of industry domains (finance, telecom, e-commerce, FMCG, insurance, hospitality, etc.) and how AI/ML solves real business challenges is a strong plus
  • Prior experience with vector databases (ChromaDB, FAISS, Pinecone) or Model Context Protocol (MCP) is a strong plus
  • Must be willing to record a short teaching video (e.g. OOP or Functions) as part of the application process


APPLY HERE: https://talents.betternship.com/company/talents/ai-engineering-instructor-at-ayonaire-academy


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