AI Machine Learning Trainer

Job not on LinkedIn

June 8

Apply Now

Receive Emails with Similar Jobs

Enthuziastic

WebsiteLinkedInAll Job Openings

Global P2P (Peer to Peer) Live Learning Network. Our mission is to build and enhance tools that enable students of all ages to discover courses that fit their budget, schedule, language, learning goals.

11 - 50 employees

Founded 2020

📋 Description

• 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