Identify demanding courses, plan, design and create courses
Build the content for courses in both pdf, video format
Build standard lab exercises for each course using proprietary algorithms
Plan and Design hackathons, webinars
Work with educational institutes and help in designing courses
Delivering highly interactive lectures in both online/virtual and physical formats
Developing innovative and quality content for lectures to help facilitate delivery of lectures
Skills Required
Effective communication skills with good voice base
Proficiency with statistical concepts and mathematical models
Proficiency with Machine Learning concepts, supervised and unsupervised algorithms
Proficiency with Deep learning frameworks and transfer learning models
Domain expertise and respective business usecases
Good Scripting and programming skills in both R and Python
Minimum Qualifications
Degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related field)
3 years of industry or graduate research experience solving analytical problems and building models using quantitative, statistical or machine learning approaches
Teaching Experience with Machine Learning, Statistics, or other data analysis tools and techniques
Teaching Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets
Teaching Experience with at least one programming language (i.e. Python, Java, or C+)
Teaching Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikitlearn, dplyr, or ggplot2
Teaching Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis
Experience with data visualization libraries such as Matplotlib, Pyplot, ggplot2
Teaching Experience with machine learning libraries and packages such as PyTorch, Caffe2, TensorFlow, Keras or Theano