Data Science Trainer

Job Description

Role & responsibilities Develop world-class content in Data Science, Machine Learning, Deep Learning, Data Engineering and other similar domains. Understand the subject and develop courses to help learners meet high standards. Understand the content development process; work with educational content across all levels. Work closely with senior faculty, freelancers and global industry leaders Provide technical mentorship for learners through live sessions Preferred candidate profile Graduates/Post-Graduates with: Teaching/Training experience in Data science & machine learning roles Strong in Python Programming Machine Learning Concepts Linear Regression, Logistic Regression, Decision Trees, Random Forests, Bagging and Boosting, Linear and Nonlinear models, Recommendation systems, etc. NLP, NN Knowledge of SQL, Excel Advanced programming skills using Python and Tensorflow/Keras in the context of teaching and building ML/DL Models Knowhow in the development of ML models at scale and understanding of its application across sectors Smart, curious people who enjoy learning and upskilling in the latest fields of technology Ability to quickly learn various concepts, techniques & tools Comfort level in speaking in front of a camera