Top AI jobs to pursue in 2024: Research scientists, ethics consultants, and more

AI is clearly not taking away jobs, but anyone who has adapted their skills to the new trends is more likely to claim your seat. While we have listed AI courses earlier, today we bring to you some AI jobs that are going to rule the roost in 2023. 

AI research scientist

In the coming days, there is likely to be a huge demand for AI research scientists especially with the increasing number of corporations investing heavily in AI technologies. The AI research scientist is a professional who is largely responsible for carrying out innovative research in various domains of AI like natural language processing, deep learning, computer vision, speech recognition, explainable AI (XAI), reinforcement learning (a subdomain of machine learning), etc. When it comes to qualification, an AI research scientist would be someone with a Ph.D. or a master’s degree in computer science, AI, machine learning, or a related field. They should have published research papers in noted journals or have participated in AI conferences. 

AI engineer

These are professionals who use AI and machine learning methods to create applications and systems that could help companies scale their existing processes and improve productivity and efficiency. The main focus of AI engineers is to develop systems, processes, and tools that can allow AI to be used to address various real-world problems. Since algorithms are trained by large datasets that allow them to work efficiently, AI engineers can essentially help in cutting costs as these processes cost humongous investments. An AI engineer can help organisations increase their productivity, and profits and even help them with business strategies. 

Machine learning engineer

This job can be described best as a combination of software engineering and data science. A machine learning engineer works with big data tools to create data science models that can handle terabytes of data in real time. This job profile is ideal for anyone with a background that combines data science, software engineering, and applied research. Companies hiring machine learning engineers look for strong mathematical skills, experience in deep learning, cloud applications, and neural networks, and skills with JAVA, Python, and Scala. Applicants are also expected to have a bachelor’s degree in Computer Science or a related field.

AI Ethics Consultant

An AI ethics consultant or an AI ethicist is a professional who helps create guidelines or define the development and deployment pathways of AI in an ethical framework. They are responsible for overseeing that AI systems align with ethical principles and values which include accountability, fairness, transparency, and privacy. When it comes to academic qualifications, an AI ethics consultant is expected to have a background in philosophy, sociology, law, psychology, etc, and is well versed in AI and its social implications. 

AI data engineer

Data engineering is essentially a part of data science. With AI, data engineers are expected to build systems that collect and convert raw data into usable information for data scientists, business analysts, and other professional domains that seek data interpretation. A data engineer makes large sets of data accessible, enabling thousands of organisations to use it to evaluate and optimise their efficiency. It needs to be noted that data engineering is a broad field with applications in almost all industries. 

AI product manager

This role is pretty much similar to those of product managers operating in sales and marketing. AI product managers are required to define the product and the overall strategy of companies creating AI products and services. They are also required to conduct market research and customer analysis. These managers are also responsible for managing the life cycles of AI products – from conceptualisation to development, launch, and even evaluation. AI product managers are expected to have experience in business marketing and are aware of AI technologies and the AI market. 

AI solution architect

An AI solution architect is a professional who oversees the designing, development, and implementation of various AI tools. They ensure that the AI solutions meet the needs and requirements of clients or companies. AI solution architects are required to have qualifications in computer science, software engineering, or any other related fields. They are also required to be up-to-date with AI technologies and their integration into various systems and platforms. 

Computer vision engineer

For the uninitiated, computer vision is a domain of AI that enables computers to ascertain information from videos, images, and other forms of input. The job of a computer vision engineer is to develop and implement various computer vision algorithms and methods to help computers comprehend visual information such as images, videos, and even facial recognition. Those working in this role are expected to have a background in computer engineering, computer vision, or related fields. They should also be acquainted with computer vision libraries and frameworks.

The above list is based on various popular trends on the internet. We anticipate more roles to be added in the coming days since AI is expanding like never before. The best way to engage with the new technologies is to read up and learn more about them. Those looking forward to upgrading their careers should watch for new online and offline courses that can help them have an edge over their contemporaries.