Project-Based AI Instructor

We are seeking a highly experienced and passionate AI Instructor with a strong combination of technical expertise, hands-on implementation experience, and professional training capabilities to lead a comprehensive project-based AI learning journey.The ideal candidate should be capable of transforming complex AI concepts into practical, engaging learning experiences while mentoring trainees through real-world projects and end-to-end AI solution development.This role is ideal for professionals who enjoy both building AI solutions and empowering others to build them. Key ResponsibilitiesDeliver engaging instructor-led AI training sessions with a strong practical focus.Design and prepare hands-on labs, workshops, assignments, and project-based activities.Mentor trainees during coding, implementation, debugging, and deployment phases.Guide learners in building complete end-to-end AI solutions and capstone projects.Simplify advanced AI, programming, and machine learning concepts for different learning levels.Support practical integration of AI into real business and software scenarios.Keep training materials updated with the latest AI trends, tools, and industry practices.Evaluate trainee progress and provide technical coaching and feedback. Job DetailsJob TypeProject-Based Contract (10 Weeks – Extendable)LocationRemoteWorking Schedule5 Days per Week (Monday to Friday)7 Working Hours DailyWorking Hours: 8:00 AM – 3:00 PMCompensationCompensation: 70,000 EGP MonthlyPayments are made bi-weeklyHow to ApplyPlease send:Updated CVLinkedIn ProfilePrevious Training ExperienceGitHub or Portfolio (if available)Samples of delivered training, workshops, or AI projects Required Training AreasThe instructor should be capable of delivering practical and implementation-focused training in the following domains:AI & Programming FoundationsPython for AI DevelopmentProgramming FundamentalsAPIs & System IntegrationsGit & GitHub CollaborationProblem Solving & Logical ThinkingData Analysis & VisualizationData Cleaning & PreprocessingExploratory Data Analysis (EDA)Pandas & NumPyData Visualization using Python / Power BI / TableauDashboarding & Data StorytellingMachine Learning FundamentalsSupervised & Unsupervised LearningRegression & ClassificationModel Evaluation TechniquesFeature EngineeringScikit-learn Practical ApplicationsAdvanced Machine Learning TechniquesEnsemble Learning ModelsHyperparameter TuningRecommendation SystemsTime Series FundamentalsNatural Language Processing (NLP) BasicsIntroduction to Deep LearningNeural Network FundamentalsTensorFlow / PyTorch BasicsCNNs & RNNs OverviewComputer Vision & NLP Use CasesAI Deployment & Project IntegrationAI Model Deployment ConceptsREST APIs for AI SolutionsCloud Deployment BasicsAI Integration into ApplicationsMLOps FundamentalsCapstone Project SupervisionGuide trainees through a complete AI project lifecycle including:Requirement AnalysisDataset PreparationModel DevelopmentTesting & ValidationDeploymentDocumentation & Presentation RequirementsStrong hands-on experience in AI, Machine Learning, and practical solution development.Previous experience in technical training, mentoring, bootcamps, or coaching.Excellent communication, presentation, and facilitation skills.Ability to combine theoretical knowledge with real-world implementation.Strong proficiency in Python and AI/ML frameworks and libraries.Experience with AI deployment and integration is highly preferred.Ability to manage and mentor project-based learning environments.Portfolio, GitHub profile, or previous practical project samples are highly preferred. Preferred QualificationsExperience delivering intensive AI bootcamps or technical academies.Knowledge of Generative AI, LLMs, AI Agents, or modern AI workflows is a strong plus.Experience with Azure, AWS, or GCP cloud environments is an advantage.Industry experience in building production-ready AI applications is preferred. Required Training AreasThe instructor should be capable of delivering practical and implementation-focused training in the following domains:AI & Programming FoundationsPython for AI DevelopmentProgramming FundamentalsAPIs & System IntegrationsGit & GitHub CollaborationProblem Solving & Logical ThinkingData Analysis & VisualizationData Cleaning & PreprocessingExploratory Data Analysis (EDA)Pandas & NumPyData Visualization using Python / Power BI / TableauDashboarding & Data StorytellingMachine Learning FundamentalsSupervised & Unsupervised LearningRegression & ClassificationModel Evaluation TechniquesFeature EngineeringScikit-learn Practical ApplicationsAdvanced Machine Learning TechniquesEnsemble Learning ModelsHyperparameter TuningRecommendation SystemsTime Series FundamentalsNatural Language Processing (NLP) BasicsIntroduction to Deep LearningNeural Network FundamentalsTensorFlow / PyTorch BasicsCNNs & RNNs OverviewComputer Vision & NLP Use CasesAI Deployment & Project IntegrationAI Model Deployment ConceptsREST APIs for AI SolutionsCloud Deployment BasicsAI Integration into ApplicationsMLOps FundamentalsCapstone Project SupervisionGuide trainees through a complete AI project lifecycle including:Requirement AnalysisDataset PreparationModel DevelopmentTesting & ValidationDeploymentDocumentation & Presentation RequirementsStrong hands-on experience in AI, Machine Learning, and practical solution development.Previous experience in technical training, mentoring, bootcamps, or coaching.Excellent communication, presentation, and facilitation skills.Ability to combine theoretical knowledge with real-world implementation.Strong proficiency in Python and AI/ML frameworks and libraries.Experience with AI deployment and integration is highly preferred.Ability to manage and mentor project-based learning environments.Portfolio, GitHub profile, or previous practical project samples are highly preferred. Preferred QualificationsExperience delivering intensive AI bootcamps or technical academies.Knowledge of Generative AI, LLMs, AI Agents, or modern AI workflows is a strong plus.Experience with Azure, AWS, or GCP cloud environments is an advantage.Industry experience in building production-ready AI applications is preferred.