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AI Trainer – Data Analytics & Artificial Intelligence

Acamind
Dubai, UAE
Freelance
Mid
Onsite
1 months ago
Artificial IntelligenceMachine LearningData AnalyticsData SciencePythonSQL
Free

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Artificial IntelligenceMachine LearningData Analytics
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Job Summary

  • We are seeking an experienced and industry focused AI & Data Analytics Trainer to deliver practical training programs for students, professionals, and corporate learners.
  • The ideal candidate should have strong expertise in Artificial Intelligence, Machine Learning, Data Analytics, Data Science, and Generative AI tools, with the ability to conduct hands on, project based training.

Key Responsibilities

  • Deliver instructor led training in AI, Data Analytics, Data Science, Machine Learning, and Generative AI.
  • Train learners on tools such as Python, SQL, Power BI, Excel, Tableau, ChatGPT, Gemini, Copilot, and other AI platforms.
  • Develop course materials, assignments, assessments, and real world case studies.
  • Guide students through capstone projects and portfolio development.
  • Conduct practical sessions focused on business applications and industry use cases.
  • Evaluate student performance and provide feedback and mentorship.
  • Stay updated with emerging AI technologies, analytics tools, and market trends.

Required Skills & Expertise

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Data Analytics
  • Data Science
  • Python Programming
  • SQL & Database Management
  • Power BI / Tableau
  • Advanced Microsoft Excel
  • Generative AI & Prompt Engineering
  • Data Visualization & Reporting
  • Statistical Analysis

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, AI, Statistics, IT, or a related field.
  • Minimum 1–5 years of industry and/or training experience.
  • Strong presentation and communication skills.
  • Experience in classroom, online, or corporate training preferred.

Preferred Candidates

  • Trainers with experience delivering professional certification programs.
  • Industry professionals willing to train part time or on weekends.
  • Candidates who can provide real world projects and practical business use cases.

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