Some of the most significant technological advances of this century are taking place in the field of artificial intelligence (AI) and machine learning (ML). Labour in manufacturing has already become highly automated, and the introduction of AI in consumer goods (like self-driving cars, natural language AI assistants, artificial and virtual reality) is one of the defining characteristics of cutting-edge technology in the twenty-first century. Artificial intelligence also has a large impact on the economy, and AI-focused jobs are likely to become more important going forward. According to Dan Ayoub, General Manager of Mixed Reality Education at Microsoft,
“AI will be a great transformer, improving the efficiency of many sectors… and enabling the creation of higher-value services that can lead to overall economic growth.”
In other words, artificial intelligence jobs are going to be at a premium in the years to come and anyone looking to make their career in the field would be well advised to begin now. In this article, we will discuss some of the most significant artificial intelligence jobs populating the industry today.
Popular Artificial Intelligence jobs
Big Data Engineer
A Big Data Engineer manages an organization’s Big Data infrastructure and is responsible for getting workable results from large amounts of data instantaneously. They usually have a background in mathematics or computer science and will be adept at handling computer programming languages. Big Data Engineers are often in demand and can expect to earn about $150,000 per annum.
Machine Learning (ML) Engineer
Machine learning is a closely related branch of artificial intelligence. Machine learning engineers design and build software that enables automated machine learning. Machine learning enables computers to translate, execute and investigate data for problem-solving. Much like data scientists, ML engineers are also required to handle and process large amounts of data, and the two roles often work in conjunction. To be an ML engineer, you would require an advanced degree in computer science, mathematics, and statistics. You would also need experience in using data management frameworks and ML libraries. Machine learning engineers are usually in very high demand within the Data Science industry and, according to Indeed.com, they had the highest-earning role of 2019!
Business Intelligence (BI) Developer
Business Intelligence Developers are responsible for assessing business trends using data sets and developing business intelligence solutions based on this information. BI developers are expected to have experience using BI software, a background in database analysis, as well as software engineering skills. BI developers typically earn $90,000 per annum in the US.
Artificial Intelligence (AI) Engineer
An AI Engineer develops and tests different models of AI infrastructure. The growth of AI use has led to exponential growth in demand for AI engineers. AI engineers are required to be proficient in programming languages, along with an understanding of natural language processing, mathematics, and statistics. The average salary of an AI engineer in the US is between $110,000 and $115,000 per annum.
Robotics Engineer
Robotics engineers are the backbone of the automation industry. They design and develop automation systems and robots. They also ensure that these machines are economical and safe to