As AI transforms tech recruitment, Dice helps recruiters and tech professionals keep up

Machine Learning


14% of all tech jobs in February 2024 mentioned artificial intelligence or machine learning related skill sets, an increase of 5 points year-over-year

Centennial, Colorado, April 16, 2024–(BUSINESS WIRE)–As the debate continues over the transformative impact artificial intelligence will have on the way we live and work, it is already fundamentally reshaping the tech job market. Analysis of technology job data by Dice (a brand of DHI Group, Inc., NYSE: DHX) reveals that 14% of all technology jobs in February 2024 will be related to artificial intelligence (AI) or machine learning (ML). It turns out that it refers to the skill of ). This is an increase of 5 points from the previous year, when just 9% of tech job postings mentioned AI or ML-related skills.

The total number of open AI/ML jobs increased by 8.5% from the beginning of 2023 (56,018 jobs) to the beginning of 2024 (60,784 jobs). This surge in demand is further highlighted by a 26% decline in overall tech job openings over the same period. These numbers give recruiters, talent acquisition leaders, and organizations not only the basics of generative AI, but also the tools they need to understand when it comes to understanding the AI ​​skills and roles their business needs today and what they will need in the future. The learning curve will speed up dramatically.

“This is an exciting time for the technology industry, comparable in terms of the scale of AI to the early days of the internet and the release of the first smartphone,” said Art Zeile, CEO of Dice. “Artificial intelligence is not a new phenomenon, but the demand for AI skills today is growing in nearly every field. Generative AI is integrated into nearly every workflow, and CEOs are now focusing on AI-driven efficiencies.” This only increases the need for AI for talent acquisition leaders, recruiters, and technology professionals as they grapple with the continued impact of AI on technology careers and recruitment. We pride ourselves on being an objective and informative resource.”

Dice provides critical AI resources for recruiters and technology professionals

To help recruiters and technology professionals navigate the evolving landscape of AI-centric roles, Dice serves as a knowledge repository with resources, best practices, and insights from industry experts. We've hand-picked two comprehensive guides to help you. Technical Recruiter Guide to Building AI Teams emphasizes the importance of a collaborative approach between talent acquisition leaders, technology recruiters, and technology leaders in identifying and attracting top AI talent. A tech expert guide to navigating AI jobs and careers We break down the most in-demand skills for AI roles and how to upskill your technical and soft skills to be competitive in this job market.

AI recruitment and job posting status

In less than two years, technical experts skilled in generative AI have become in high demand. Not surprisingly, the number of “artificial intelligence” job descriptions has increased significantly over the years. If we compare February 2024 and February 2023, his AI increased by 36%.

Salaries for AI and ML-related roles also demonstrate the short-term impact that generative AI has had, as these salaries continue to increase while average tech salaries have remained flat. The 2024 Engineer Salary Report shows that the average salary for someone with machine learning skills is $122,060, almost 10% higher than the average engineer salary of $111,193, according to data from Dice. Masu.

This trend is reflected in a variety of AI-related roles and skills, highlighting the importance of expertise in today's job market.

  1. Data Science: $116,807 (5% more than the average engineer salary in the US)

  2. Machine Learning: $122,060 (10% higher than the average engineer salary in the US)

  3. Software engineer: $145,206 (31% more than the average engineer salary in the US)

  4. Data Engineer: $120,248 (8% more than the average engineer salary in the U.S.)

  5. Solutions Architect: $157,768 (41% more than the average engineer salary in the US)

From retail to healthcare to manufacturing, nearly every industry is seeing rapid adoption of AI. Companies such as Deloitte, Accenture, and KPMG are doubling down on AI projects, signaling a shift to a strategy that prioritizes AI talent acquisition. “Whenever there's a big change in technology in the U.S., U.S. companies typically want to experiment with consultants before adding those people to their payroll,” Zeile said. “They want to pilot it to see what it means for their business model.”

And even in the backdrop of recent layoffs by Amazon, Google, and Microsoft, these industry giants are now among the top 15 employers of AI talent and are making their AI efforts a priority. underpins a collaborative effort.

Takeaway for recruiters: Adapt your strategy to attract top talent

Although AI is not as new as it may seem, it is still a recent technology that is rapidly advancing. As demand continues to grow, there will be fewer technical professionals with extensive experience on the resumes of companies that need to fill AI roles. Here are some tips for recruiters to take the next step and tackle an AI/ML recruiting strategy.

  1. Prioritize skill-based hiring. Taking a skills-based approach is especially effective for technical jobs. This is because these professionals already have a culture that values ​​skills over titles. By focusing on applicable skills, rather than traditional metrics such as education and experience, companies can expand their options and effectively recruit top AI talent.

  2. Understand core skills and applications of AI and ML. One of the biggest challenges in AI recruitment is that there are many gray areas around titles, roles, and skills beyond the specialized technical experts who can build AI and machine learning models. Not all technical experts have the same AI skills, but for most, understanding data wrangling and preprocessing, algorithms, software engineering, machine learning frameworks, or cloud computing is a great start. It becomes.

  3. Work with technology leaders to recruit and upskill existing talent. One way to build an AI team is to start by finding talented technical experts within your company who are willing to move and upskill in AI. Consider offering a generative AI training program to educate your entire workforce on AI fundamentals, and use this as a first step to identifying potential candidates who show an aptitude for AI concepts.

Key points for technology professionals: charting a course in the age of AI

Advancing career development in dynamic fields like artificial intelligence and machine learning can be challenging for technical professionals. However, AI provides exciting growth opportunities by building on existing skills and leveraging familiar technology. Here are key insights for tech professionals ready to start their AI upskilling journey.

  1. Make sure you are familiar with AI core competencies and understand the framework. Technical experts use AI to handle low-level tasks so they can focus their time on higher-level disciplines and skills. The framework acts as a pre-assembled toolkit, providing a technical professional with essential building blocks to streamline her AI development process. Although there are many different types of frameworks, there are also many skills that can be inherited between frameworks.

  2. Improve your soft skills. Improving soft skills makes technology professionals more valuable to current and future employers. These experts will not be replaced by AI. Innovation and creativity, communication, and providing insight into leadership are important soft skills to focus on.

  3. Continue your AI education with courses and certifications. AI is rapidly evolving, and as new language models, tools, and platforms are created, today's landscape will soon become a thing of the past. Online or in-person courses focused on the fundamentals of AI are ideal for technical professionals looking to upskill. Courses that offer a final test allow technical professionals to demonstrate understanding and expertise to current and future employers.

Dice’s commitment to empowering recruiters and technology professionals

As the demand for technology talent with AI skills continues to grow, Dice remains steadfast in fostering meaningful connections between employers and technology professionals. The company continuously reports on the latest trends and developments in AI, enabling recruiters and technology professionals to make informed decisions in the expanding field. Additionally, Dice's AI Career and Recruitment Center section connects technology professionals with career advancement opportunities and helps companies succeed with her AI-driven innovations.

methodology

To present the insights in this report, Dice used job posting data provided by Lightcast, a Dice partner with a database of over 1 billion current and historical job postings worldwide. Dice retrieved his March 20, 2024 data and used Lightcast's skill category taxonomy specialized in “Artificial Intelligence and Machine Learning (AI/ML)” and “Natural Language Processing (NLP)” We analyzed technology job information in the United States. The information in this report is a snapshot of technical jobs data as of March 20, 2024 and may be subject to backward revision of prior month's data from the sources used in this report.

About dice

Dice is a leading technology career hub that connects employers with skilled technology professionals and provides career opportunities, data, insights and advice for technology professionals. Founded in 1990, Dice began as one of the first career sites and now offers a comprehensive suite of recruiting solutions to help companies and recruiters make informed hiring decisions. I'm doing it. Dice serves multiple markets across North America. Dice is a brand of DHI Group, Inc. (NYSE:DHX).

About DHI Group Co., Ltd.

DHI Group, Inc (NYSE: DHX) is a provider of an AI-powered career marketplace focused on technology roles. DHI's two brands, Dice and ClearanceJobs, allow recruiters and hiring managers to efficiently search for and connect with highly skilled technology professionals based on their requested skills. Masu. Our patented algorithms manage over 100,000 unique technology skills. Additionally, our marketplace helps technology professionals get the right advice and personalized insights to find your ideal next career opportunity. For more information, please visit www.dhigroupinc.com.

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