Career in Artificial Intelligence


Artificial intelligence is a technology that is showing a rapid growth day by day. It’s demand is also increasing at a tremendous rate in various industries. So, creation of lac of jobs in this field is completely justifiable as career in artificial intelligence seems to be more settled and sorted.




Every company has some technological requirements that has to fulfilled by employees having AI talent. As a result, a career in artificial intelligence is not only attracting job seekers, but it is also growing rapidly. Job seekers must have appropriate professional skills in order to pursue a career in AI.

Since AI has so many applications in so many fields, there are a multitude of AI career opportunities. Many AI enthusiasts are also baffled by this problem. As a result, we’ve assembled a list of promising AI career opportunities.




Table of Contents


Data scientist

Data scientist mainly gather data from different inferences and analyze large set of structured and unstructured data. The analysis is done to process the data further and model and interpret the outcome by making various relevant predictions. A data scientist has a combined role of computer science, statistics and mathematics.

However, to become a data scientist, one must have a master’s degree in mathematics or computer science and must have some experience in Machine Learning. And owning an advanced degree may increase the chance of getting a good job.

Apart from these relevant skills, one must be good at communication skills and analytical skills. A career in artificial intelligence thus opens the door to Data Science. 

Big Data engineer

A big data engineer is known for designing and developing data pipelines. They are the ones collecting data from different sources for data scientists to organize and analyze data.

Big Data engineering jibs are highly in demand. To become a big data engineer a person needs to have a bachelor’s degree in computer science, software engineering, mathematics or a different IT degree. However, a master’s degree or a PhD degree are more likely to get you the job.

Programming languages like Python, R and Java are essential to become a big data engineer. Skills related to SQL would be like cherry on the top. It is quite clear that one can explore AI by becoming a big data engineer.

Machine Learning engineer

Machine learning engineers create programs that will enable machines to take actions without any specific human directions to perform that task. They are just computer programmers but their work goes beyond just specifically programming machines to do particular task.  

To become a machine learning engineer one must know how to apply predictive models dealing with magnificent data. Some more must have skills are programming, computing and mathematics. Required technologies are python, R, Scala and Java.Good knowledge of machine learning algorithms, neural networks and deep learning will be an advantage.    

AI Data analyst

A AI data analyst perform data mining, data cleaning, and data interpretation.  Cleaning data allows for the collection of necessary data for data analysis. They discard any unnecessary data so that the data interpretation process is not hindered. An AI data analyst derives inferences from the data using statistical techniques and methods.

To become a data analyst, a person must have a bachelor’s degree in mathematics or computer science.  You must have a thorough understanding of regression and be able to use MS Excel. An AI data analyst’s salary is relatively low as compared to other AI jobs. The market for AI data analysts is fairly consistent, but their future is uncertain.

AI engineer

The main role of  AI engineers is to build and test AI models. They also navigate the learning spaces of their neural networks and the business value those networks provide. AI engineers must know about cloud-native systems, chips, deep learning. They must decide when to deploy models and maintain them for accuracy.

Skills in programming languages like python, java or C++ is required to become an AI engineer. They must have good knowledge of statistics, NLP, applied mathematics and analytics.  


Research scientist

Research scientist is one of the most sought-after positions in artificial intelligence. These individuals are specialists in applied mathematics, machine learning, deep learning, and computational statistics, among other AI disciplines. Candidates should have comprehensive knowledge and expertise in machine vision, graphical models, reinforcement learning, and natural language processing in order to be employed.



Business intelligence developer

The primary goal of this job is to evaluate large data sets in order to spot industry and consumer trends. Designers, modellers, and maintainers of complex data in highly open cloud-based data systems are commonly referred to as business intelligence developers.

Those interested in this role must have good technical and analytical abilities. Candidates must be able to interact effectively with non-technical co-workers and have good problem-solving abilities.

The candidate would have extensive knowledge of data warehouse architecture, data mining, SQL queries, SQL Server Integration Services, SQL Server Reporting Services, and business intelligence (BI) technologies.



jobs in AI


The top companies hiring employess for AI roles are:-


  • Amazon
  • Apple
  • google
  • Microsoft
  • IBM
  • Accenture
  • Facebook
  • Intel
  • Samsung
  • Lenovo
  • Adobe
  • MoTek Technologies
  • Uber
  • PCO Innovation
  • Rakuten Marketing
  • Anki
  • Clarifai
  • Deepmind
  • Casetext
  • DataVisor


It is a perfect time for professionals who want to pursue the field of artificial intelligence and make a career out of it. Argo AI, a well-known company, is also recruiting for key Artificial Intelligence positions. If you want to make the transition to AI, don’t be afraid to give it a shot. Furthermore, tasks associated with AI pay well so career in artificial intelligence is a good option.


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