Trainer No-Code AI & Machine Learning

Role Overview: As a No-Code AI & Machine Learning Trainer, your primary role will be to deliver a practical, hands-on program that equips students with the skills to design, build, and deploy AI/ML solutions using no-code and low-code platforms. You will play a vital part in bridging theoretical knowledge with practical applications, enabling students to implement machine learning, computer vision, NLP, and automation workflows without the need for complex coding. Key Responsibilities: - Deliver engaging sessions on AI/ML fundamentals and practical use of no-code tools like Obviously.ai, Peltarion, Teachable Machine, and DataRobot. - Conduct hands-on training sessions on data preparation, model building, and deployment using cloud-based platforms such as Google AutoML, Azure ML Studio. - Guide students through real-world AI use cases including predictive analytics, chatbots, computer vision, and workflow automation. - Mentor students in capstone projects covering dataset preparation, model deployment, and presentation, while also training them on AI app development using Bubble, Glide, and AppSheet. - Introduce concepts of AI ethics, explainability, and responsible AI principles through case discussions and activities. - Support academic coordinators in assessment design, progress tracking, and project evaluations. - Stay updated with emerging no-code AI tools and best practices to ensure relevance in the industry. Qualifications Required: - Bachelors/Masters Degree in Computer Science, Artificial Intelligence, Data Science, or related field. - 3-8 years of experience in AI/ML development, workflow automation, or data science education. - Experience in teaching, mentoring, or corporate training, particularly in no-code/low-code platforms. - Strong understanding of machine learning concepts, including model evaluation, ethics, and deployment, with familiarity in AI integrations via APIs and automation workflows.,