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The Data Science Academy

1 Job openings at The Data Science Academy
Data Science Trainer indore,madhya pradesh,india 2 years None Not disclosed On-site 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.