Enthuziastic | Full time
| Posted on 09/30/2023
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- Industry Education
- Date Opened 09/30/2023
- Job Type Full time
- Work Experience 1+ Years
<div>Our mission is to bring people together and connect them into a
community to nurture each other. We aim to share a conducive
environment, a joyous space to grow and excel; a world brimming with
selfless love and enough kindness. We strive to enrich each of our
lives with kaleidoscopic memories we make here - vibrant, lively, of
all hues and colors.<br /></div>Visit https://enthu.com/about/
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
- 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
- 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
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