Role & responsibilities Design, develop, and deliver training sessions on AI, Machine Learning, Deep Learning, and Data Science topics. Conduct both theoretical and practical sessions with hands-on project implementation. Create and update course materials, case studies, and exercises in line with current industry trends. Assess learners progress through assignments, projects, and tests, and provide constructive feedback. Guide students on building real-world AI & Data Science projects. Stay updated with emerging tools, technologies, and best practices in AI and Data Science. Preferred candidate profile Strong knowledge in Python programming, Data Analysis, and Data Visualization (Pandas, NumPy, Matplotlib, Seaborn). Hands-on expertise in Machine Learning (Scikit-learn), Deep Learning (TensorFlow, Keras, or PyTorch). Experience with data preprocessing, feature engineering, model training, and deployment. Familiarity with Big Data tools (Spark, Dask) and SQL (optional but preferred). Proficient in developing innovative teaching strategies to enhance student learning outcomes. Good communication and presentation skills to deliver concepts clearly to learners. Prior experience in training, mentoring, or teaching will be an added advantage. Eligibility Bachelors/Masters degree in Computer Science, Data Science, AI, or a related field. 2+ years of relevant industry or academic experience in AI & Data Science.
Responsibilities: An AI & Data Science Trainer responsible for delivering theory and hands-on sessions in AI, ML, DL, and Data Science, while guiding learners through real-world projects and assessments. Requires strong expertise in Python, ML/DL