5 Popular Artificial Intelligence (AI) Jobs and the Companies that Offer Them
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 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 use. Robotics engineers usually have a degree in robotics engineering and a knowledge of computer-aided manufacturing (CAM) and design (CAD), and earn around $80,000 per annum.
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Which companies offer Artificial Intelligence jobs?
Artificial intelligence jobs have become a staple of the cloud computing industry, as is demonstrated by the fact that the top three employers for AI are also some of the biggest names in cloud services.
Amazon has benefited from being an early investor in artificial intelligence, using it to better customer experience and drive sales. Amazon Web Services (AWS) develop consumer and business-oriented machine learning tools and services and offer a variety of AI jobs in software development, machine learning science, research science, and product management. ML engineers at AWS can expect to earn an average salary of $133,000 per annum.
Google is one of the industry leaders in data analytics and artificial intelligence. Google has acquired multiple AI start-ups over the years and sells several AI and ML services. It has also developed its own open-source machine learning platform called TensorFlow. In addition to offering jobs in research science, software engineering, and machine learning, Google also offers internships and residencies all across North America. AI engineers at Google earn an average of $230,000 per annum.
IBM is one of the oldest investors in artificial intelligence, having a hand in the industry’s development since the 1950s. IBM’s cloud services, dubbed IBM cloud, is the third-largest cloud computing service in the world. Watson, IBM Cloud’s AI project, offers AIML services such as content analytics, speech-to-text, and conversation natural language. An ML engineer at IBM would earn an average salary of $12,000 per annum.
Developments in artificial intelligence and machine learning have been responsible for some of the most significant technological marvels of the twenty-first century. From driverless cars to smart warehouses, AI has revolutionized the way the world works. And with advances in cloud computing, blockchain, and the ever-expanding Internet of Things (IoT), careers in artificial intelligence are only going to get more popular. If you are looking to begin a career in artificial intelligence, you couldn’t pick a better time than right now.
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