Data Science Technical Trainer

Responsibilities: - Responsible for training and teaching Data Science, Machine Learning and AI concepts to students and professionals. - Design and develop training material, lesson plans, presentations, and hands-on exercises. - Conduct interactive classroom sessions, online courses, and webinars. - Provide guidance and support to students during the training sessions. - Continuously update and enhance the training content to keep it relevant and aligned with industry trends. - Collaborate with the curriculum team to improve the training program based on feedback and performance. Requirements: - Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. - Minimum 1 year of experience in teaching or training in the field of Data Science, Machine Learning, or Artificial Intelligence. - Strong understanding of core Data Science concepts such as data preprocessing, exploratory data analysis, supervised and unsupervised learning, deep learning, and natural language processing. - Proficiency in programming languages like Python, R, or SQL. - Experience in working with popular Data Science tools and libraries like NumPy, Pandas, Scikit-learn, TensorFlow, Keras, and Matplotlib. - Excellent communication and presentation skills. - Ability to work collaboratively with the curriculum team and respond to feedback.