Machine Learning Skills

Goals

To understand the demand for machine learning skills in the current and future job market, in order to inform marketing efforts in this field.

Early Findings

Machine Learning Overview

  • Machine learning encompasses skills that help computer systems increase intelligence, thus being part of the artificial intelligence (AI) field.
  • Machine learning happens in four ways: supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. Various skills are needed for each type of machine learning.
  • The demand for machine learning/AI jobs has been increasing steadily since 2016.
  • The global market for machine learning was $1.4B in 2017, and it is expected to grow to $8.8B by 2022.
  • Creating effective machine learning systems requires skills in data preparation, algorithms, automation and iterative processes, ensemble modeling, and scalability.

Machine Learning Skill Demand

  • AWS Certified Cloud Practitioners are noted as one of the top 10 fastest-growing skills in IT in 2020.
  • Machine Learning Engineer was identified as a high-paying position with growing demand as of 2019.
  • The average demand for machine learning engineers demonstrated a 344% growth rate from 2018-2019, with an average annual salary of $146,085 in 2019.
  • The demand for computer vision engineers has increased from 2018-2019, with a 116% growth rate, with an average annual salary of $158,303.
  • Robotic engineer demand has a 128% growth rate from 2018-2019, with an average annual salary of $99,007.
  • Job availability for AI and machine-learning positions is predicted to reach 2.3 million available jobs in 2020.

Proposed next steps:

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