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AI Machine Learning Trainer - Remote Job

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in a quantitative field, 3 years of industry or research experience in analytical problem-solving with statistical, machine learning, and mathematical proficiency, Proficiency in various software tools and programming languages, familiarity with data visualization libraries.

Key responsabilities:

  • Identifying demanding courses and designing course content in different formats
  • Developing innovative lectures for online and physical delivery
  • Planning and executing hackathons, webinars, and collaborating with the course design team
EnthuZiastic logo
EnthuZiastic E-learning Startup https://enthu.com/
11 - 50 Employees
See more EnthuZiastic offers

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

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork

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