Data Science Trainer

19 hours ago

Indore, Madhya Pradesh, India The Data Science Academy Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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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