What AI capabilities do large tech companies look for when hiring?

Managing advanced concepts of artificial intelligence (AI) has become an indispensable skill for programmers and system engineers. This new technology, which is revolutionizing the world, requires professionals to have a new set of skills in order to gain a place in the most important companies in this field.

A study by Stanford University in the United States shows that technology giants have expanded the demand for professionals, not only qualified professionals, but also experts in handling artificial intelligence processing tools, and they pay a lot of money to those who master these tools. The necessary skills.

For example, the study shows that professionals who use AI in their skill set earn nearly twice as much as those who don’t, which is an added value in standing out in a workforce that is increasingly moving toward automation.

“Whenever new technologies emerge, doors open for new jobs to appear, and it’s important to be able to adapt,” explains Sergio Valenzuela, systems engineer, artificial intelligence expert and professor at the Franz Tamayo University Unifranz.

Valenzuela said those new jobs will become more specific over time, just like in other parts of the world.

“In the U.S. and Europe, where there is a trend toward hyper-specialization, we have seen the emergence of specific professionals; however, in Latin America, it still has room to grow,” he added.

The World Bank (WB) said we still do not fully understand the impact that artificial intelligence will have on economic structures, employment, human potential, and the difficulty of pursuing progress, but one thing is certain: artificial intelligence will drive a technological revolution.

Jobs and profiles will evolve. Research by international labor consultancy ManpowerGroup, which collected responses from 18,000 managers in 43 countries, shows that in the short to medium term, there will be an increase in employment in positions related to the information technology and customer service industries, such as data or sales personnel specializing in digital offers. Likewise, there will be a high demand for professionals who are experts in robotics, the Internet of Things and M2M or machine-to-machine communication.

The Stanford report suggests that the skills most in demand at large tech companies range from mastery of programming languages ​​to critical thinking:

1 Programming skills

Software developers who deal with artificial intelligence-related concepts are highly sought after among multinational companies. Languages ​​such as Python, R, Java, and C++ are essential for developing AI algorithms and models.

Experts at Stanford University said, “About 80% of jobs in the field of artificial intelligence require advanced programming skills and a deep understanding of data structures and algorithms.”

Machine learning is the process of enabling machines to read instructions and replicate them. Gain insights into machine learning techniques such as regression, classification, Clustering And dimensionality reduction is crucial.

Professionals with advanced machine learning skills often receive higher salaries for their ability to develop and improve autonomous systems.

3 Natural Language Processing

Natural language processing is essential for machines to understand and interact with human language. NLP experts who can use techniques such as sentiment analysis, machine translation, and chatbots are highly sought after.

Several studies have shown that professionals with NLP experience see salary increases of up to 20% compared to their counterparts without this expertise.

Likewise, having a strong foundation in statistics and probability will not only improve your ability in data modeling, but also increase the accuracy and reliability of the systems you develop, which in turn translates into a better salary.

5. Reading and translating large amounts of data

The ability to manage, analyze, and interpret large amounts of data is another key skill that companies demand and pay a high price for. Knowledge of big data tools and platforms such as Hadoop, Spark, and NoSQL is extremely valuable.

Global analysis highlights that big data experts are crucial to the success of companies seeking competitive advantage through the use of massive amounts of data, which is often reflected in superior monetary compensation.

Neural networks and deep learning are important for advanced artificial intelligence tasks such as image and speech recognition.

Experts in these fields are highly valued, especially in areas such as computer vision and predictive analytics, and tend to command higher salaries.

In addition to technical skills, humans also stand out for their ability to solve problems and apply creative solutions. This involves evaluating the effectiveness of models, identifying failures, and continuously improving processes.

Companies value employees who not only understand technology but can also identify and solve complex business problems, thereby obtaining greater salary returns.

Given the uncertainty that AI may create, mastering these seven skills could open the door to some high-paying jobs at major companies.