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The technological revolution has heated up servers, fueled concerns, and shaken markets. Some say it’s a bubble, yet layoffs among programmers, graphic designers, and content writers have risen sharply – in the United States alone exceeding 100,000 people. This may partly be because companies hired aggressively during the pandemic, but it may also reflect a strategic shift: instead of hiring, organizations are asking whether automation is a better option, which has slowed recruitment.

The market has eagerly invested in the development of language models, creating strong demand for specialists in this field. More ambitious companies no longer treat AI as a curiosity; they understand that if they do not develop their own models, they may fall behind within a few years.

Artificial intelligence as a topic is vast and covers multiple areas, including:

1. Enabling technologies (Hardware) – everything related to building and connecting processors and servers.

2. Scientific research – advanced mathematics, physics, as well as neurological and neurolinguistic research forming the theoretical foundation.

3. Machine Learning – working on collecting and selecting data, big data analytics.

4. Deep Learning.

5. Natural Language Processing – processing human language.

6. Computer Vision / Speech Processing / Generative AI – recognizing and generating multimedia content.

7. Robotics and autonomous systems.

8. Multi-Agent Systems – combining multiple models to improve quality and achieve new outcomes.

 

 

Recruitment portals have seen an explosion of new roles and titles:

On LinkedIn – over 2,000 offers: https://www.linkedin.com/jobs/artificial-intelligence-jobs/

No Fluff Jobs – countless listings 😉 https://nofluffjobs.com/pl/artificial-intelligence

Here are several examples of popular AI-related job titles:

 

Job Title Description Translation (Polish)
Artificial Intelligence Engineer Designs and develops AI models and algorithms to solve complex problems. Inżynier sztucznej inteligencji
Artificial Intelligence Consultant Advises organizations on implementing AI solutions to enhance business operations. Konsultant sztucznej inteligencji
Chief AI Officer (CAIO) A senior executive responsible for overseeing an organization’s AI strategy, implementation, and governance. Dyrektor ds. sztucznej inteligencji
AI Prompt Engineer Specializes in crafting and refining prompts to optimize outputs from AI language models. Inżynier promptów AI
Machine Learning Operations (MLOps) Specialist Manages the deployment, monitoring, and maintenance of machine learning models in production environments. Specjalista ds. operacji uczenia maszynowego
AI Ethics Officer Oversees the ethical and responsible use of AI technologies within an organization. Specjalista ds. etyki AI
AI Product Manager Leads the development and management of AI-driven products, ensuring they meet market needs and business objectives. Menedżer produktu AI
AI Research Scientist Conducts advanced research to develop new AI methodologies and technologies. Naukowiec badawczy AI
AI Solutions Architect Designs and integrates AI solutions into existing business infrastructures, ensuring scalability and efficiency. Architekt rozwiązań AI
AI Data Analyst Interprets complex datasets to inform AI model development and business decision-making. Analityk danych AI

 

 

Sources:

https://www.coursera.org/in/articles/artificial-intelligence-jobs

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