The future of work is never set in stone, but the advent of artificial intelligence (AI) has changed the game. While there are concerns about the potential impact on workers, more companies are looking to hire people with the skills to meet their growing AI needs.
The World Economic Forum’s “The Future of Jobs Report 2023” found that AI is expected to be deployed in nearly 75% of surveyed companies, with 50% of organizations expecting an increase in jobs. . The study found that the fastest growing role is driven by technology, digitization and sustainability.
What tops the list of fastest growing jobs? AI and machine learning specialists. While the report highlights AI and big data among the top 10 growing skills, training employees to take advantage of AI and big data will be the company’s skills over the next five years. He ranks third among the priorities of
High growth area
According to other data, AI is expected to create 133 million new jobs worldwide. By examining what roles companies are seeking and hiring, the study reveals which AI-related roles are growing in popularity.
One of the fastest growing areas is data management, with an 80% increase in the role of data overall since 2015. Data scientist job openings are up 110% year-over-year, and data engineer job openings are averaging 86% year over year. -Year-on-year growth rate.
According to Stanford University’s Human-Centered Artificial Intelligence Laboratory, demand for AI professional skills is growing in nearly every American industry sector where data exists. According to it, the AI capabilities most likely to be embedded in enterprises include robotic process automation (39%), computer vision (34%), natural language text understanding (33%), and virtual agents (33%). ) It is included.
The most commonly adopted AI use case in 2022 will be service operations optimization (24%), followed by new AI-based product creation (20%), customer segmentation (19%), and customer service analytics ( 19%), followed by new AI. -Base product enhancement (19%).
chance
Given the scope of AI itself, the jobs associated with this burgeoning sector can be extensive, offering workers a range of options for upskilling and reskilling. AI can be used throughout customer service. Think chatbots and self-checkouts. Journalists can take advantage of AI-based transcription services. Companies will want data scientists who can pinpoint which areas of their products AI can help.
When you think of generative AI like ChatGPT, you can think of machine learning engineers building and designing AI that learns. Some AI engineers develop and train algorithms that enable the application and use of AI. Then there are the data engineers who work on the infrastructure around data storage and processing.
Do you love the world of robotics? Robotics engineers also fall under the umbrella of AI jobs and can work in a wide range of industries, including manufacturing and healthcare. They may be involved in overseeing the robot or involved in the early stages of its design.
Software engineers, also known as developers, design, test, develop, and maintain software applications. They are good at coding, have knowledge of various programming languages, and can apply their skills to anything from the aviation industry. to the game.
Data scientists analyze data and deduce important actionable points from it. They’re great at spotting patterns and trends, but they’re also great at communicating their findings in a way that makes sense.
With AI becoming part of the future of the workplace, it’s no surprise that companies, from marketing to legal, healthcare to customer affairs, are under pressure to hire talent in the AI space.
Looking for an AI-related job? Here are some of the jobs currently available on the TechRepublic job board.
Machine Learning Engineer 3, Adobe, San Jose
Adobe is a digital product used by everyone from emerging artists to global brands. Our San Jose office is seeking a Machine Learning Engineer with expertise in software engineering and machine learning. Employers will work closely with Data’s scientists, engineers, researchers, and product managers to research, develop, and deploy large-scale machine learning solutions for businesses. Read on for the key skills and qualifications required for this role.
Data Scientist/Senior Data Scientist, StackAdapt, Canada
For this remote role, self-service advertising platform StackAdapt is looking for a data scientist to join its engineering team. The company aims to expand its data science efforts, leveraging the latest technologies to solve traffic, data storage, machine learning, and scalability challenges. The ideal recruit should have a comprehensive understanding of machine learning, among other skills. Read more about roles here.
Senior Architect, Hartford, Data, AI, Information Architecture, Travelers Companies
The property and casualty insurer is more than 160 years old, but clearly keeps up with the times. Travelers Companies is looking for a Senior Architect with specific his DevOps and Machine Learning practice experience. See here for job details.
by Aoif Barry
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