Offer summary

Qualifications:

Degree in a quantitative field such as Computer Science, Engineering, or Mathematics., 3 years of experience in industry or graduate research with analytical problem-solving and model building., Proficiency in machine learning concepts and frameworks, including deep learning and data visualization libraries., Teaching experience in machine learning, statistics, and programming languages like Python or R..

Key responsabilities:

Identify, plan, design, and create demanding courses in AI and machine learning.

Build course content in both PDF and video formats, including lab exercises using proprietary algorithms.

Deliver interactive lectures in various formats and develop innovative content for effective teaching.

Collaborate with the course design team to enhance course offerings and plan events like hackathons and webinars.

Job description

This is a remote position.

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

Required profile