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Data Science Trainer


Key Responsibilities:

  • Deliver high-quality training sessions on AI, Machine Learning, NLP, Deep Learning, and Data Science.
  • Design and develop course materials including presentations, hands-on labs, assignments, and case studies.
  • Customize training programs according to learner profiles and industry trends.
  • Conduct classroom and virtual training sessions.
  • Keep content updated with emerging technologies and best practices.
  • Evaluate learner progress and provide constructive feedback.
  • Collaborate with the academic team to improve curriculum and training effectiveness.

  • Required Skills & Experience:

    • Minimum

      2 years of professional experience

      in Data Science/Analytics/Training.
    • Strong expertise in

      Python/R, SQL, Power BI/Tableau, and Machine Learning frameworks (scikit-learn, TensorFlow, PyTorch)

      .
    • Hands-on experience in

      NLP and Deep Learning projects

      .
    • Solid understanding of data preprocessing, feature engineering, and model development.
    • Experience in content creation, training delivery, and learner assessment.
    • Excellent communication and presentation skills.
    • Ability to simplify complex concepts for learners of diverse backgrounds.


    Preferred Qualifications:

    • Bachelor’s/Master’s/PhD in Data Science, Computer Science, or related fields.
    • Certifications in AI, ML, or Data Science from reputed platforms.
    • Prior experience in corporate or academic training.
    • Familiarity with cloud platforms like AWS, GCP, or Azure.


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