In recent years, artificial intelligence, or AI has freed up capabilities for the future. From space expeditions to melanoma detection, they are making waves across industries and making the impossible possible. As a result, AI and tech careers are also growing steadily. AI is reaching everywhere, from systems for the Real Money Slots Online in Ontario to online registration systems for online streaming services. Even sports betting is using machine learning and artificial intelligence for everyday usage and functions. LinkedIn ranks artificial intelligence experts as its 2021 “Burgeoning Job”. In this post, we explore 5 excellent, high-paying AI and tech careers you can look forward to in 2023.
Why is it a Good Career?
The current outlook for AI jobs is very promising. The U.S. Bureau of Labor Statistics expects computing and information technology jobs to grow 11% from 2019 to 2029. This will create approximately 531,200 brand-new jobs in the industry. This seems like a conservative estimate. AI and machine learning specialists are second on the list of jobs in high demand, according to the World Economic Forum.
As the industry matures, AI careers will not only grow in number, but also in complexity and diversity. This opens the door to a wide range of professionals, including juniors, seniors, researchers, statisticians, practitioners, and experimental scientists. The prospects for ethical AI are also improving.
Careers in Artificial Intelligence
Despite being a modern niche ground, artificial intelligence careers are not uniform. AI has different types of jobs that require specific skills and experience. Let’s take a look at the top careers one by one.
Data scientists collect, analyze, and generate insights from data for a variety of purposes. We use a variety of technology tools, processes, and algorithms to excerpt knowledge from data and describe meaningful patterns. This can be as simple as identifying anomalies in time series data or as complex as anticipating future events and composing recommendations.
Business Intelligence Developer
Business intelligence (BI) developers measure complex internal and external input to identify trends. However, unlike data analysts, business intelligence developers do not create reports themselves. They are accountable for modeling, designing, and maintaining data in cloud-based information platforms. These platforms are used by users to locate dashboards. The average salary for a business intelligence developer is $86,500, rising to $130,000 with experience.
The research scientist’s performance is one of the most academic AI careers. They ask new inventive questions that are answered by AI. Also, they are experts in numerous artificial intelligence fields, including mathematics, deep learning, machine learning, and statistics. Similar to data scientists, researchers are expected to have a Ph.D. in computer science. Likewise, employers expect research scientists to have comprehensive knowledge and background in graphical models, computer awareness, reinforcement learning, and natural language processing. Knowledge of parallel computing, benchmarking, distributed computing, machine learning, and artificial intelligence is an advantage.
AI software engineers develop software products for AI applications. Bring together development tasks such as coding AI tasks, continuous integration, quality control, and API management. They develop and maintain software used by data scientists and architects. Also, they stay up-to-date on new artificial intelligence technologies. Moreover, AI software engineers are required to have knowledge of software development and artificial intelligence.
Programming knowledge and statistical/analytic skills are required. Companies typically look for a bachelor’s degree in computer science, engineering, physics, mathematics, or statistics. AI or data science certifications can also help you get a job as an AI software engineer.
A data analyst has long been someone who collects, cleanses, processes, and analyzes data to generate insights. Previously, these were almost daily repetitive tasks. The advent of AI automated many routine tasks. As such, the Data Analyst role has been updated for new AI careers. Today, data analysts assemble data for machine learning models and create meaningful reports placed on the results. Therefore, AI data analysts need to know more than spreadsheets.
When industrial robots started to gain popularity in the 1950s, one of the first AI careers included robotics engineers. From assembly lines to English classes, robotics has come a long way. Medicine uses robotic surgery. Also, the assembly lines build humanoid robots for personal assistants. Likewise, a robotics engineer’s job is to make all of this a reality. Robotics engineers build and manage AI-powered robots. For such roles, organizations consistently look for advanced degrees in engineering, computer science, etc.
Organizations in various industries are hiring. Technology appears to be the most open industry for AI and other tech careers, with companies like Apple, Microsoft, Google, Facebook, Adobe, IBM, and Intel adopting AI roles. Consultants such as PWC, KPMG, and Accenture follow closely. Medical institutions are hiring more. Additionally, GlaxoSmithKline has several job openings in the AI space. Retailers such as Walmart and Amazon and media companies such as Warner and Bloomberg are also hiring. So, here is a perfect guide to well-established tech careers in the field of artificial intelligence.