Artificial Intelligence Trainer - Full Time Job

Key responsibilities:

1. Identify demanding courses, plan, design and create courses
2. Build the content for courses in both PDF and video format
3. Build standard lab exercises for each course using proprietary algorithms
4. Plan and design hackathons and webinars
5. Work with educational institutes and help in designing courses
6. Deliver highly interactive lectures in both online/virtual and physical formats
7. Develop innovative and quality content for lectures to help facilitate the delivery of lectures

Skills & Requirements:

1. Able to travel and relocate PAN India
2. Effective communication skills with a good voice base
3. Proficiency with statistical concepts and mathematical models
4. Proficiency with machine learning concepts, supervised and unsupervised algorithms
5. Proficiency with deep learning frameworks and transfer learning models
6. Domain expertise and respective business use cases
7. Good scripting and programming skills in both R and Python
8. Degree in a quantitative field (e.g. computer science, engineering, mathematics, statistics, operations research, or other related field)
9. 3 years of industry or graduate research experience solving analytical problems and building models using quantitative, statistical, or machine learning approaches
10. Teaching experience with machine learning, statistics, or other data analysis tools and techniques
11. Teaching experience performing data extraction, cleaning, analysis, and presentation for medium to large datasets
12. Teaching experience with at least one programming language (i.e. Python, Java, or C+)
13. Teaching experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikitlearn, dplyr, or ggplot2
14. Teaching experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering, or regression analysis
15. Experience with data visualization libraries such as Matplotlib, Pyplot, ggplot2
16. Teaching experience with machine learning libraries and packages such as PyTorch, Caffe2, TensorFlow, Keras or Theano

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