With the advancement of artificial intelligence (AI), which in a way has been dominating the digital and professional environment, we see the advance as a great opportunity to create new professions and to specialize in others that will soon also be on the rise.
The rise of AI has not only brought about the elimination and replacement of some professions, but the creation of new other professions that will be promising and will establish a new path in the technological and digital market.
Therefore, even with the growth and distribution of new professions, some professionals need to be ready to adapt to the new reality.
- Data Scientist
- machine learning engineer
- Chatbot Developer
- Digital Transformation Consultants
- AI Cybersecurity Analyst
- AI Ethics Specialist
- Artificial Intelligence Engineer in Health
That way, we brought you, dear reader, some professions for you to start practicing and who knows how to grow in a new sector.
1. Data scientist
A Data Scientist is a qualified professional who specializes in extracting valuable insights from large volumes of data, using a combination of skills in statistics, programming, data analysis and domain-specific knowledge. Starting with data collection and cleaning, they identify patterns and trends using advanced statistical methods. In addition, Data Scientists also design Machine Learning models, allowing systems to learn from data and make predictions or make decisions. Your ability to create clear data visualizations and communicate complex results is very important to guide strategic decisions. In summary, Data Scientists are the detectives of the digital world, translating data into knowledge and driving innovation and business success.
2. Machine learning engineer
A Machine Learning Engineer is a professional who specializes in designing, developing, and implementing machine learning algorithms and models to solve problems and extract data. They play an important role in creating systems that can learn and improve from data, enabling task automation, more accurate forecasting, and decision making.
With the increase in the amount of data and the search for automation and efficiency, the demand for Machine Learning Engineers has grown proportionally. They usually have backgrounds in areas such as Computer Science, Software Engineering, Mathematics, Statistics or related fields. In addition to solid technical skills, the ability to experiment, problem solve and communicate are essential in this role.
3. AI Chatbot Developers
Chatbot developers are professionals who specialize in creating, implementing, and maintaining chatbots, which are computer programs designed to interact with human beings in a conversation-like manner. In addition, it is a strategy widely used by companies that want differentiated communication in digital. These interactions can take place on messaging platforms, websites, mobile apps or other communication channels.
In this way, we can see how much more and more common chatbots are becoming in various industries, from customer service and e-commerce to healthcare and education. Therefore, the ability to create natural and effective human interactions with chatbots requires a combination of technical skills, human language understanding, and industry-specific knowledge.
4. Digital Transformation Consultants
Digital Transformation Consultants are professionals specialized in guiding organizations through processes of significant change and adoption of digital technologies to improve their processes, strategies and business models. In addition, they are important to help companies adapt and take full advantage of the opportunities provided in the digital environment.
However, digital transformation consultants possess a combination of technical skills and business knowledge. They often have degrees in areas such as Business Administration, Project Management, Information Technology or related fields. Furthermore, they need to have excellent communication skills, empathy and the ability to adapt across complex business environments to successfully guide companies on the path of digital transformation.
5. AI Cybersecurity Analyst
AI Cybersecurity Analyst is a professional who specializes in protecting artificial intelligence (AI) and machine learning systems from cyber threats. With the increasing adoption of AI technologies, cybersecurity-related risks are also increasing, and this is where the very important role of the AI Cybersecurity Analyst comes in.
In line with AI systems and the new security challenges they present, AI Cybersecurity Analysts generally have a strong foundation in cybersecurity and also understand AI principles. They may have a background in Computer Science, Software Engineering, Information Security or related fields.
6. AI Ethics Specialist
The AI Ethics Specialist is a professional who focuses on ensuring that the development, deployment and use of artificial intelligence (AI) is ethical, responsible and in line with human values. As AI grows, the need arises to ensure that its applications are not only effective, but also respect ethical principles and fundamental rights.
However, they usually have a combination of expertise in ethics, human rights and artificial intelligence. Your background may vary, including applied ethics, philosophy, computer science, law, sociology or other related fields. Communication skills, critical ethical thinking and the ability to influence and collaborate with technical teams are essential for this role. With the growing awareness of the importance of ethics in AI, these professionals play a very important role in creating technologies that are responsible and aligned with human values.
7. Engineer of Artificial Intelligence in Health
An Artificial Intelligence Healthcare Engineer is one who applies AI and machine learning techniques to improve efficiency, accuracy, and outcomes in healthcare. They play an important role in transforming the healthcare industry, leveraging AI capabilities to optimize diagnoses, treatments and medical information management.
However, they usually have backgrounds in Computer Science, Biomedical Engineering, Medicine or related fields. Additionally, with their expertise in AI and machine learning, they need to deeply understand the challenges and regulations specific to the healthcare industry.
With technological changes, the current scenario is constantly changing as well. Be adept at these changes and adapt to the new scenarios that are to come.
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