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AI Machine Learning Trainer - Remote Job

EnthuZiastic · Work from home
Work from home
PayPay not listed
WhereWork from home
TypeFull timeMid-level
Posted1 Nov2 days ago, via Himalayas
Kaam checked
No fee, deposit or pay-to-apply signs
Good spoken and written English expected
Day work
No vehicle or licence needed
Skills they list8 named
Machine Learning TrainingAI InstructorTechnical TrainerData Science EducatorAI Trainer JobsRemote AI Training SpecialistRemote AI TrainerAI Training Jobs
About this job
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

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