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Data Science Trainer – AI, Data Science & Analytics (50- positions)

Location: Multiple Locations (India)

Travel: Willing to travel for in-person sessions

We are looking for a
highly skilled Master Trainer
to deliver
hands-on, industry-oriented training programs
across engineering and non-engineering institutions as part of a large-scale AI skilling initiative.

Role Description

As a
Master Trainer
, you will be responsible for delivering end-to-end training programs covering
AI, Data Science, Analytics, and Generative AI
, ensuring learners gain
job-ready, practical skills
.

Key Responsibilities: Training Delivery

  • Conduct
    Student Development Programs (SDPs)
    on AI, Data Science, and emerging technologies
  • Deliver sessions using
    lectures, live coding, hands-on labs, case studies, and projects
  • Train both
    technical and non-technical learners
    with adaptive teaching methods
  • Effectively cover the following areas:
  • Foundations of
    AI & Data Science
  • Python for Data Science
    (OOP, file handling, problem solving)
  • Data Analytics
    using Excel
  • Power BI
    (dashboards, reporting, data transformation)
  • Machine Learning & Deep Learning
    (Supervised, Unsupervised, CNNs, RNNs)
  • Computer Vision & NLP
    (OpenCV, YOLO, Transformers, BERT)
  • Generative AI & Prompt Engineering
    (ChatGPT, Gemini, Claude, LLMs)
  • AI Tools & Platforms
    (Microsoft Copilot, Gemini API, Canva AI)
  • AI in Business Domains
    (Finance, Retail, Healthcare, Marketing)
  • AI Ethics & Responsible AI
    (Fairness, Explainability, GDPR, AI Act)
  • AI Security
    (Adversarial attacks, secure APIs, federated learning)

Coordination & Communication

  • Collaborate with stakeholders, curriculum teams, and subject-matter experts
  • Maintain
    attendance, assessments, progress reports, and learner feedback
  • Continuously update training content based on
    industry trends

Student Engagement & Mentorship

  • Mentor students in
    coding, data handling, and AI project development
  • Guide learners through
    industry projects and case studies
  • Support
    mock interviews, assessments, and problem-solving sessions

Assessment & Reporting

  • Conduct theoretical and practical assessments
  • Provide structured feedback and learning improvement plans
  • Contribute to continuous enhancement of training pedagogy

Qualifications Education

  • B.E / B.Tech / M.Tech / MCA / Ph.D in
  • Computer Science, IT, Data Science, or related fields

Experience

  • 1+ years of experience
    in:
  • Python Programming (NumPy, Pandas, TensorFlow, Streamlit, Flask)
  • Machine Learning & Deep Learning
  • Data Analytics (Excel, Power BI)
  • AI Tools (ChatGPT, Gemini, Microsoft Copilot, Hugging Face)
  • Teaching or mentoring experience is
    preferred

Technical Skills

  • Programming:
    Python, SQL, Streamlit, Flask, Django
  • AI/ML/DL:
    TensorFlow, PyTorch, Scikit-learn, OpenCV, NLP
  • Analytics:
    Excel, Power BI
  • Tools:
    VS Code, Jupyter, Anaconda, MySQL Workbench
  • AI Platforms:
    Copilot Studio, ChatGPT, Gemini, Canva AI

Soft Skills

  • Strong communication & presentation skills
  • Ability to explain complex topics in a simple way
  • Excellent classroom engagement and mentoring skills
  • Analytical and problem-solving mindset

Preferred (Optional)

  • Certifications in
    AI/ML, Data Analytics, Power BI, or Generative AI
  • Exposure to
    MLOps, Docker/Kubernetes, or AI Security
  • Experience with
    LMS or instructional design

Additional Details

  • Location: Multiple locations (as per program requirements)
  • Travel: Willingness to travel for workshops & training sessions