• 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 strong 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.
• Strong 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).