The global Artificial Intelligence market is estimated at over $136 billion and rapidly changes how we work and live. As the field matures, AI jobs’ variety, quantity, and complexity will rise. It will open opportunities for a range of professionals, such as junior and senior researchers, statisticians, practitioners, experimental scientists, etc. 

Lucrative job opportunities are also expanding along with the demand for AI experts. Here are the top nine Artificial Intelligence career paths that are making headlines in 2023. 


Computer Vision Engineer

Computer vision engineers mix machine learning and computer vision techniques to assist computers in understanding and interpreting visual data. They work closely with other programmers to develop systems that recognize and classify images from movies, photos, and other visual data. 

This tech expert uses computer vision research to support the automation of predictive decision-making through visuals. They closely collaborate with object-oriented software to handle the processing and analysis of large data populations. 

Data Scientists

For a variety of purposes, data scientists gather data, examine it, and draw conclusions. They employ various technological tools, procedures, and algorithms to extract knowledge from data and find significant trends. This could be as simple as spotting abnormalities in time-series data or as complicated as making predictions and giving advice. 

The following are the main requirements for a data scientist: 

  • Advanced degree in maths, computer science, statistics, etc. 
  • Statistical analysis and the unorganized data comprehension 
  • Having knowledge of platforms like Hadoop and Amazon S3 for the cloud 
  • Abilities in programming languages like Python, Perl, Scala, and SQL. 
  • Working experience on Hadoop, Spark, MapReduce, Pig, and Hive. 


National Language Processing Engineer

AI engineers focusing on spoken and written human expression are known as natural language processing (NLP) specialists. NLP technology is used by engineers who work on voice assistants, speech detection, document processing, etc. 

An NLP engineer should have expertise in sentiment analysis, n-grams, modeling, general statistical analysis, computational abilities, data structures, modeling, and sentiment analysis, among other things. It might be advantageous to have prior knowledge of Python, ElasticSearch, web programming, etc. 

Robotics Engineer

When industrial robots became prevalent in the 1950s, the robotics engineer was possibly one of the first jobs in artificial intelligence. From English teaching to assembly lines, robotics has gone a long way. Robotic-aided surgery is used in healthcare. 

Robotic humans are being created to serve as personal aides. All of this and more is what a robotics expert does. AI-powered robots are created and maintained by robotics experts. For these positions, organizations generally require advanced degrees or certifications in engineering, computer science, or a related field. 

Robotics experts may be required to know CAD/CAM, 2D/3D vision systems, the Internet of Things (IoT), as well as machine learning and Artificial Intelligence. 


Machine Learning Engineer

Do you know that Artificial Intelligence related job posting, especially ML, has increased by over 100% on top career websites? It makes machine learning one of the top three sought-after skills by employers. A Machine Learning Engineer uses big data tools and programming frameworks to develop data science models. 

These models are production-ready, scalable, and capable of handling gigabytes of real-time data. The best candidate for this profile is one with expertise in deep learning, neural networks, cloud applications, and Java, Python, and Scala programming is an added advantage. Understanding software development UI tools like Eclipse and IntelliJ is also beneficial. Apple, Facebook, Twitter, etc., are some of the highest-paying AI companies in the world.

Artificial Intelligence Research Scientist

One of the AI jobs with the highest academic demands is that of the research scientist. They pose original, thought-provoking queries for AI to respond to. They are specialists in various fields related to artificial Intelligence, such as statistics, machine learning, deep learning, and mathematics. 

Companies are looking to hire research scientists to anticipate them to be well-versed in these fields, as well as in graphical models, reinforcement learning, and natural language processing. Benchmarking expertise and familiarity with the newest technology of 2022, computing, networked computing, machine learning, and artificial Intelligence are preferred. 

Business Intelligence Developer

Business intelligence (BI) developers analyze intricate internal and external data to find trends. For instance, in a business that provides financial services, this could be someone who keeps track of stock market statistics to aid in investment selection. They also sometimes work closely with the cybersecurity teams to understand how AI revolutionizes workplace safety

This might be someone who monitors sales trends for a product business to help with distribution planning. Business intelligence engineers don’t produce reports, in contrast to data analysts. For business users, dashboards usually design, model, and maintain complicated data in highly accessible cloud-based data platforms. 


Big Data Architect / Engineer

Big data engineers and architects create ecosystems that allow efficient communication between various business verticals and technologies. They are usually expected to work on designing and developing big data projects on Hadoop and Spark systems. This position may feel more involved than that of a data scientist. 

Professionals with a Ph.D. in computer science or mathematics areas are preferred by most employers. However, because this position is more practical than a research scientist, practical expertise is necessary for a strong placement. 

Big data experts require programming knowledge in C++, Java, Python, or Scala. They must also know about data transfer, visualization, and mining. With an average annual salary of $1,66,575, big data analysts are among the highest-paid positions in AI

Software Engineer

Software engineers create Artificial Intelligence software. They combine development activities such as writing code, continuous integration, quality control, API management, etc. They also create and manage the software used by architects and data scientists. These tech professionals are expected to stay updated with the latest developments in AI technology. 

Software engineering and artificial intelligence expertise are prerequisites for an AI software developer. In addition to statistical and analytical abilities, they must have excellent computer skills. 

A degree in engineering, computer science, or statistics is usually required by employers. AI or data science certifications can also help you get hired as an AI software developer. 

Bottom Line

So, it was all about the top nine AI career profiles expected to enjoy an impressive demand in 2023. Many top international companies look forward to hiring dynamic AI professionals on handsome pay packages. Having a good knowledge of the types of AI and its uses can be an added advantage for the aspirants. 


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