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Trainer - No-Code AI & Machine Learning

Trainer - No-Code AI & Machine Learning

MyAnatomy IntegrationDelhi, India
22 days ago
Job description

We are seeking a highly motivated and knowledgeable No-Code AI & Machine Learning Trainer to deliver a practical, hands-on program that enables students to design, build, and deploy AI / ML solutions using no-code and low-code platforms. The trainer will bridge theory with practice, empowering students to implement machine learning, computer vision, NLP, and automation workflows without writing complex code.

Key Responsibilities

  • Deliver engaging sessions on AI / ML fundamentals and no-code tools such as Obviously.ai, Peltarion, Teachable Machine, and DataRobot.
  • Conduct hands-on training on data preparation, model building, and deployment using cloud-based platforms (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—from dataset preparation to model deployment and presentation.
  • Train students on AI app development using Bubble, Glide, and AppSheet.
  • Introduce AI ethics, explainability, and responsible AI principles through case discussions and activities.
  • Support academic coordinators in assessment design, progress tracking, and project evaluations.
  • Stay current with emerging no-code AI tools and best practices to ensure industry relevance.

Technical Expertise Required

  • No-Code ML Platforms : Obviously.ai, Peltarion, Levity.ai, Teachable Machine, DataRobot
  • AutoML Tools : Google AutoML, Azure ML Studio, AWS Sagemaker Canvas
  • Data Tools : Airtable, Retool, Datawrapper, Google Sheets
  • No-Code App Builders : Bubble, Glide, AppSheet
  • Chatbot Builders : Dialogflow, Voiceflow, Landbot
  • Automation Tools : Zapier, Make (Integromat), Power Automate
  • Domains Covered : Machine Learning, Computer Vision, NLP, Predictive Analytics
  • Cloud Platforms : GCP, Azure, AWS (for AutoML and deployment)
  • Preferred Qualifications

  • Bachelor’s / Master’s 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 (especially in no-code / low-code platforms).
  • Strong understanding of machine learning concepts, including model evaluation, ethics, and deployment.Familiarity with AI integrations via APIs and automation workflows.
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