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Key Responsibilities Deliver in-person lectures and training sessions in Data Science, Machine Learning, Deep Learning and related domains. Guide learners through concepts, case studies, and projects to ensure robust understanding and application. Collaborate with Centre Managers and academic teams to monitor learner progress and outcomes. Support students with doubt-solving, mentorship, and building career-ready skills. Continuously update knowledge and content to stay current with industry trends and tools. Skills & Experience Minimum 2+ years of teaching/training experience in Data Science, Machine Learning, or related fields. Solid programming skills in Python and understanding of SQL, Excel. Solid grasp of ML/DL concepts such as Regression, Decision Trees, Random Forests, Ensemble methods, Neural Networks, NLP, Recommendation Systems, etc. Solid communication, presentation, and mentoring skills. Comfortable with both classroom delivery and online teaching (camera-facing). Education: BE/ B.Tech (minimum); Postgraduate preferred. .