AI Machine Learning Trainer - Remote Job
TypeFull-time job
LocationUnited States
Posted8 hours ago
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
DetailsOriginally posted on Himalayas
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
DetailsOriginally posted on Himalayas
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