Artificial intelligence is a vast field with many sub-fields and offers many exciting career opportunities to children fascinated by AI. It includes data science and data mining, machine learning, machine vision, neural network and fuzzy systems. Moreover, AI is an area that is predicted to expand exponentially in the next few decades, impacting virtually every industry.
Here are 4 aspirational career opportunities to inspire interested students:
1. Machine Learning Engineer
Machine learning is the application of a machine learning or even AI framework to a particular problem but in a different domain. It is one of the main parts of AI. Machine learning is considered a vital and cutting-edge field and involves gesture recognition, ad analysis, fraud detection, and more. Machine learning engineers understand the machine’s nature and help solve societal problems.
Requirements for an ML engineer;
• Good mathematical knowledge;
• Good understanding of hardware systems.
Since the industry is moving towards AI, there is an enormous demand for machine learning engineers as few people specialise in this field.
2. AI Programmer
However, you don’t necessarily have to be a maths whizz to have a career in AI. It would help if you had a solid understanding of maths, but you don’t have to be gifted. Maths is not everything, but you do need to be curious and creative because these are skills we use every day!
A career in AI, therefore, means pushing your limits while demonstrating creativity. Did you know that creativity is one of the characteristics that differentiate humans from artificial intelligence? To program AI, it is essential to have a good dose of human ingenuity!
To be a programmer in AI, you will need to complete a bachelor’s degree, although it is possible to specialise in AI after studying engineering in a comparable field.
3. AI Data Analyst
Data analysts are responsible for analysing data from the company’s activity. They collect and process data to submit relevant recommendations. An AI data analyst’s mission is to bring data to life by interpreting it.
AI data analysts use the information collected through different channels that aim to facilitate decision-making by managers.
To be an AI data analyst, you will need skills in statistical techniques and a mastery of numbers. In addition, understanding and practising the different SQL database languages would also be an advantage.
4. Big Data Engineer
Attached to the information systems department of a company, the data engineer or the Big data engineer is responsible for all database operations. The data engineer or the Big data engineer is the first actor in the data processing process. Their work comes upstream from that of the data scientist. They aim to provide the platforms needed to process big data in the best conditions.
To be a Big Data Engineer, you would need:
• Mastery of Big Data databases and frameworks (Hadoop, Spark, Kafka, Hive, etc.);
• Mastery of programming languages (Javascript, Scala, Python, etc.);
• Knowledge of data analysis techniques and statistical methodologies.
The Future of AI
Artificial intelligence helps find solutions to solve problems or improve certain aspects in all areas, whether in the field of health, education, photography, fashion, etc. In short, AI is useful for countless specialities and is not limited to the four roles mentioned in this article.
AI is constantly evolving, which improves the practices of several workplaces, including the health sector. For example, artificial intelligence interprets x-rays quite accurately to detect anomalies. It is, therefore, a formidable ally for radiologists.
Do you care about the environment? AI could help us reduce our carbon footprint and facilitate sustainable production methods. A career in artificial intelligence could therefore allow you to contribute in your way.
