Data Science Trainer

13 hours ago

Indore, India The Data Science Academy Full time

About the Job


Job Title: Data Science Trainer – AI/ML/NLP/Deep Learning

Job Location: Indore

Experience: Minimum 2 Years

Work Mode: Full-Time


Job Description:

The Data Science Academy (TDSA) is looking for a passionate and experienced Data Science Trainer with hands-on expertise in AI, Machine Learning, NLP, and Deep Learning . The ideal candidate will have experience in delivering technical training, designing engaging content, and mentoring learners to build practical, job-ready skills.


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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