Data Science (Deep Learning & NLP)

You will be responsible for training and mentoring students in data science fundamentals, advanced techniques, and practical applications. Your role will involve delivering engaging, hands-on sessions in Python for Data Science, Statistics, Machine Learning, Deep Learning, and NLP. You will guide learners through real-world problem-solving processes using tools and platforms like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras, Matplotlib, Power BI/Tableau, and SQL. Additionally, you will mentor students on end-to-end projects such as predictive modeling, NLP, computer vision, and business analytics. As a Data Science Instructor, you must possess a strong proficiency in Python programming and Data Science libraries, along with a solid foundation in Statistics, Probability, and Linear Algebra. Expertise in Machine Learning algorithms, Deep Learning, and NLP techniques is essential. You should also have experience with SQL, Power BI/Tableau for data visualization and analytics. Effective communication and teaching skills are crucial, as you will be simplifying complex topics for learners. Previous experience as a trainer/mentor in data science bootcamps, edtech, or academia is highly desirable. A degree in Computer Science, Data Science, Statistics, AI, or a related field is preferred. Your duties will also include preparing learners for technical interviews and job readiness in Data Science, AI, and Machine Learning roles. You will evaluate student progress through quizzes, coding assignments, and project reviews. Staying updated with the latest advancements in AI, Deep Learning, and Natural Language Processing is essential for this role. This is a full-time or freelance position with a contract length of 12 months. The benefits include food provided. The application deadline is 18/08/2025, and the expected start date is 18/08/2025.,