Category: Education

Location:

• Identify demanding courses, plan, design and create courses

• Build the content for courses in both pdf and video format

• Build standard lab exercises for each course using proprietary algorithms

• Plan and Design hackathons, webinars

• Work with course design team 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

Requirements

• 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

• 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

• Experience with data visualization libraries such as Matplotlib, Pyplot, ggplot2

• Domain expertise and respective business usecases

• Good Scripting and programming skills in both R and Python

• 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

• Teaching Experience with machine learning libraries and packages such as PyTorch, Caffe2, TensorFlow, Keras or Theano

• Effective communication skills with good voice base

Benefits

• Opportunity to be a part of a dynamic growth focused tech startup

• Great learning opportunities to develop new skills and understanding of cutting edge software tools and processes

• Opportunity to work closely with serial tech entrepreneurs from Silicon Valley

• Fun loving environment and caring team mates and inclusive culture of the company

Details

Originally posted on Himalayas