Artificial Intelligence (AI) has come a long way – from a science fiction concept to a practical tool that supports a wide range of industries. Today, AI automates processes, analyzes data, and generates innovative solutions. More and more companies recognize its potential and are integrating AI into their operations, which significantly increases the demand for qualified professionals in this field.

According to data from No Fluff Jobs, the number of AI-related job postings in Poland grew by 22% in 2024 compared to the previous year. This trend is likely to accelerate further as more enterprises adopt AI technologies.

How much do AI developers make in Poland

Salary is undoubtedly one of the key factors when choosing a career path. The IT sector has consistently offered some of the highest salaries on the market, and the AI field is no exception. So, how much do professionals working in Artificial Intelligence earn?

1. Artificial Intelligence / Machine Learning Engineer

Average B2B salary: 16,000 – 21,000 PLN (Mid), 23,500 – 30,000 PLN (Senior)
Key responsibilities: Designing, training, and deploying machine learning models. Preprocessing data, optimizing algorithms, monitoring results, and integrating models with existing systems.
Most in-demand skills: Python, PyTorch, TensorFlow, Scikit-learn, Git, CI/CD.

2. Data Scientist

Average B2B salary: 13,000 – 19,000 PLN (Mid), 19,000 – 24,000 PLN (Senior)
Key responsibilities: Analyzing data, building predictive models, interpreting results, and supporting business decisions. A mix of analytical, mathematical, and programming skills is essential.
Most in-demand skills: Python, SQL, Machine Learning, Data Visualization.

3. AI Architect

Average B2B salary: 25,000 – 29,000 PLN (Mid), 26,000 – 32,000 PLN (Senior)
Key responsibilities: Designing end-to-end AI systems with a focus on scalability, security, and efficiency. Combines a technical and architectural role, often managing engineering teams.
Most in-demand skills: Azure, AWS, Java, Python, NLP, Project Management.

4. AI Product Manager

Average B2B salary: 17,000 – 23,000 PLN (Mid), 20,000 – 26,000 PLN (Senior)
Key responsibilities: Managing the entire lifecycle of AI-powered products – from concept and MVP to full deployment and further development. Must understand both technical aspects and user needs.
Most in-demand skills: Product development, lifecycle management, Agile/Scrum, Jira.

5. NLP Engineer

Average B2B salary: 17,000 – 23,000 PLN (Mid), 24,000 – 30,000 PLN (Senior)
Key responsibilities: Building natural language processing systems, including chatbots, content classification, and machine translation tools.
Most in-demand skills: Python, Transformers, NLTK, SpaCy, BERT.

How to get a job in AI in 2025

Starting a career in AI often requires a degree in computer science, mathematics, robotics, or data analytics. Leading technical universities in Poland, such as Warsaw University of Technology, Wrocław University of Science and Technology, AGH University of Krakow, and the University of Warsaw, offer specialized AI programs.

However, not having a degree doesn’t mean the door is closed. Alternative learning paths include:

• Online courses (e.g., Coursera, Udemy, DataCamp, edX);
• Tech bootcamps (e.g., SDA, CodersLab);
• Certifications from tech giants: Google Cloud ML, Microsoft AI Fundamentals, IBM Applied AI.

The demand for AI education is rapidly growing. According to Coursera’s data, over 3.2 million learners enrolled in generative AI courses in 2024 alone, showing how much interest there is worldwide, especially in countries like India and the USA.

The most important factors are hands-on skills: Python proficiency, knowledge of ML libraries, data processing, and model development. Aspiring AI professionals should engage in open-source projects, participate in AI hackathons, and build a strong portfolio (e.g., on GitHub). In addition, understanding how recruitment platforms evaluate candidates can give job seekers an edge in the hiring process.

Challenges in Artificial Intelligence career development and recruitment

While AI offers attractive salaries and exciting development opportunities, it also presents challenges. Rapidly evolving technologies require constant learning and adaptability. At the same time, competition for top roles is increasing. Candidates must demonstrate not only technical expertise but also communication, creativity, and flexibility. In today’s IT world, soft skills are more valuable than ever.

From the employer’s perspective, Artificial Intelligence and recruitment go hand in hand. Hiring top AI talent has become a race. Companies must offer more than just attractive salaries – flexible work arrangements, a culture of innovation, and growth opportunities are now essential. The recruitment process is evolving to keep up with the future of hiring.

Interestingly, AI is also changing recruitment itself. Automated tools are increasingly used in the hiring process to screen resumes, schedule interviews, and assess candidates. While this can increase efficiency, over-reliance on algorithms, chatbots, or generic messaging may discourage top applicants. Striking the right balance between automation and human touch in the recruiting process is one of today’s biggest challenges for recruiters.

Also read our article on the role of AI in recruitment process here.

Looking to recruit top AI specialists? Get in touch today – we’ll help you find the best candidates faster and more efficiently.

Sources:

1. Coursera, data for Future of Jobs Report 2025, World Economic Forum
2. inhire.io, IT Market Snapshot Q1 2025
3. No Fluff Jobs, IT Job Market Report 2024/2025

The post Artificial Intelligence and Recruitment: Top AI Careers in 2025 appeared first on ITSELECTA.

Artificial Intelligence not only speeds up recruitment processes but also significantly reshapes the role of recruiters, transforming them from task executors into strategic talent advisors. In a world where skills and hiring quality play a crucial role, AI has become an indispensable tool for HR teams looking to streamline recruitment and make smarter hiring decisions.

According to LinkedIn’s Future of Recruiting 2025 report, 73% of talent acquisition professionals agree that AI will change the way recruitment works, while 37% of organizations are already actively integrating or testing AI-driven tools. At the same time, the skill set required for talent acquisition professionals is evolving – demand for relationship development skills has increased 54 times year-over-year. What are the benefits of this revolution?

AI in recruitment – greater efficiency and faster processes

Automating routine tasks such as resume analysis, initial candidate screening, and personalized communication can save recruiters up to 20% of their weekly work time. Why does this matter? Recruiters and hiring managers can dedicate this saved time to building relationships with candidates and refining recruitment strategies and job descriptions to attract the right talent.

AI also helps eliminate biases in hiring processes, ensuring a fairer candidate evaluation. Additionally, companies can leverage AI to analyze skills and predict candidate success, leading to better hiring decisions and improved talent matching within organizations. In fact, 70% of talent acquisition professionals integrating generative AI expect it to significantly improve hiring efficiency, while 47% anticipate enhanced job post effectiveness, making recruitment processes more targeted and impactful.

Hiring quality as an important recruitment success indicator

Amid rapid market changes, companies are focusing more on hiring quality. A staggering 89% of HR professionals believe that measuring hiring quality will become increasingly important, and 61% say AI will assist in this assessment. Advanced AI tools analyze retention rates, internal mobility, and employee performance, enabling precise candidate-to-job matching.

Companies are also investing in building a strong employer brand. According to LinkedIn data, organizations that effectively communicate their values have a higher chance of attracting top-quality specialists. Expanding talent pools has also become a priority, with 39% of AI adopters expecting AI-driven recruitment tools to help them reach a broader range of candidates.

Skills-based hiring is the new standard

More and more companies are shifting away from traditional degree requirements and focusing on assessing candidates’ actual skills. 93% of recruiters agree that accurate skill evaluation is critical for improving hiring quality. Additionally, LinkedIn reports that companies using skills-based candidate searches are 12% more effective in hiring high-quality talent.

This shift is evident in job market trends – in 2023, 26% of job postings on LinkedIn did not require a college degree, marking a 16% increase compared to 2020.

How can you use AI for recruitment?

Automated candidate screening – AI filters applications based on key competencies, allowing for faster and more precise candidate selection.

Better talent matching – AI analyzes data and predicts which candidates best fit the organization in terms of skills and work culture.

Personalized communication – AI can generate tailored messages for candidates, improving recruitment engagement and effectiveness.

Enhanced skill assessment – AI enables technical competency testing through simulations and practical assignments.

The future of recruitment is here

Despite the growing use of AI and its increasingly advanced capabilities, artificial intelligence will not replace recruiters. On the contrary it will allow them to focus on what truly matters: building relationships, providing strategic guidance, and managing talent effectively.

Recruiters already using AI save up to 20% of their time, gaining a significant competitive advantage in the hiring market.

Looking for top talent for your team?

Contact us today – let’s find the best candidates for your organization faster and more efficiently!

The post Artificial Intelligence in recruitment – Role of AI in transforming hiring processes in 2025 appeared first on ITSELECTA.