Know About Top 7 Artificial Intelligence Job Opportunities


By iNeuBytes Content Writer


Artificial Intelligence is now ubiquitous in several sectors of the global economy. Since 1956, when the phrase 'artificial intelligence' was first used, AI has progressed significantly, accomplishing each milestone throughout the years. In 2025, it is anticipated that the AI employment market will undergo a boom that will approach USD 126 billion [1]. According to Glassdoor statistics, the national average pay is $127,083; the minimum salary is $98,000 and the maximum salary is $166,000 [2]. According to Indeed, the income range for employment in artificial intelligence is between $129,398 [3].

Additionally, it is anticipated that Artificial Intelligence would generate more than 2 million employments across all industries throughout the predicted period. Attractive pay, attractive AI job paths, and the industry's constant evolution attract a big number of AI hopefuls each year. In order to pursue a profession in Artificial Intelligence, it is crucial to possess the appropriate abilities before considering compensation.

To be effective as an AI, one must possess both technical and soft abilities. Thus, the required roles and duties may be satisfied. The talents determine the work quality. They are a crucial component of development and the most important indicator of progress.

Due to the fact that machine learning and AI occupations include the construction of algorithms, problem-solving and analytical abilities are extremely useful for anyone contemplating a career in this industry. Let's examine a list of necessary skills that will assist you in building a profession in artificial intelligence.


  • Programming Skills

Math is one of the abilities that AI and ML professionals-to-be are required to possess. The other half of the requirement is proficiency in programming languages such as Java, C++, Python, and R.

Python will aid engineers in comprehending and developing complex algorithms, whilst C++ will assist them in increasing their coding pace. Python is also the language of choice for machine learning (ML) developers and offers several modules and frameworks to facilitate the creation of AI models. Comparatively, R and Java assist experts in comprehending statistics and implementing mappers, respectively. They are essential given the importance of visuals in AI explanation.

            Skills required for Artificial Intelligence Career

Figure shows the Skills required for Artificial Intelligence Career


  • Statistical Skills

As an AI specialist, you will be required to have a solid grasp of statistics and probability in order to comprehend sophisticated algorithms. At its most fundamental, AI models of the present rely on discovering patterns in vast volumes of data. As the designer of these systems, you must be conversant with the statistical techniques used to extract insights from data. In addition, you must be conversant with common AI models such as Gaussian Mixture Models, Nave Bayes, Hidden Markov Models, etc. These concepts are based on complicated statistical proofs and theorems, necessitating an in-depth understanding of the field by AI engineers in order to comprehend their operation. Thus, a thorough understanding of statistics helps programmers become much more proficient AI practitioners.


  • Mathematical Skills and Probability

Those who wish to pursue a profession in artificial intelligence or machine learning are required to be mathematics experts. In addition to statistics, artificial intelligence as a science employs other mathematical principles to generate artificial intelligence. Probability is one of the most utilised mathematical ideas.


  • Probability

Probability determines a range of outcomes in AI, and a thorough comprehension of the subject is essential to the development of AI models. Aside from this, AI experts must also possess good analytical and problem-solving abilities that stem from a strong mathematics background.

The demand for the top seven AI professionals has grown rapidly. The Enterprise Project predicts that by 2025, AI will create around 133 million new jobs [4].


Top Artificial Intelligence Jobs in 2023 


  1. AI engineer

Using machine learning techniques and deep learning neural networks, AI engineers develop AI models that generate business insights. An AI engineer is responsible for building, testing, and applying various AI models, as well as efficiently managing the AI infrastructure. These insights are utilised to make key business decisions that may have a significant impact on the organization's reputation and overall success. Candidates interested in this job profile must have a comprehensive knowledge of programming languages, software development, and data science. Additionally, they must hold a bachelor's degree in computer science, engineering, or another IT-related field.

According to the Glassdoor December 2022 [5], Average salary per annum was approximately US $121,000 and in India was INR 9,50,000.


  1. ML engineer

ML engineers develop and maintain software that helps ML efforts and runs autonomously. They work with vast quantities of data and exhibit exceptional data management characteristics. Not only are machine learning (ML) engineers involved with consumer insights and risk management, but they also play a significant role in projects that continually clarify ML principles from a business perspective. In order to manage the large volumes of corporate data and insights, they need also be adept at data management. This position would be ideal for those with an interest in neural networks or cloud applications.

According to the Glassdoor December 2022 [5], Average salary per annum was approximately US $136,000 and in India was INR 9,00,000.


  1. Data scientists

Data scientists use top programming languages such as Python and other big data technologies to analyse and extract data from massive databases using predictive analytics and ML models. Data scientists collaborate closely with business stakeholders to discover how data may be utilised to achieve their objectives. The design data modelling procedures provide algorithms and predictive models to extract the business-required data, assist with data analysis, and facilitate the sharing of insights with peers.

According to the Glassdoor December 2022 [5], Average salary per annum was approximately US $121,000 and in India was INR 6,11,000.


  1. Business Intelligence (BI) developer

Developers of Business Intelligence (BI) create, model, analyse, and maintain complicated data. They believe that business acumen and AI will increase the firm's income. Due to the fact that these individuals are responsible for improving a number of business processes using their analytical and BI-centric skills, business intelligence has become an integral aspect of artificial intelligence. The developers share crucial business information with the company's decision-makers using data analytics and technology.

According to the Glassdoor December 2022 [5], Average salary per annum was approximately US $98,000 and in India was INR 7,00,000.


  1. Robotics Engineer

A robotics engineer's primary responsibility is to find ways to improve the effectiveness of the work that is carried out by robots. They programme the machines to create mechanical gadgets or robots that can carry out tasks in response to human orders. Robotics engineers are responsible for studying, creating, implementing, analysing, and integrating complicated sensing and decision-making algorithms across many platforms. Work collaboratively with team members to create systems to the level of production. In addition, they monitor business performance and deliver frequent, convincing management reports.

According to the Glassdoor December 2022 [5], Average salary per annum was approximately US $98,000 and in India was INR 4,99,000.


  1. Research scientist

The profession of research scientist is one of the most academically driven careers in AI. The duty of the research scientist is to evaluate, plan, and reason about data, processes, and systems. They forecast business processes using visual representations like as charts, graphs, and tables, among others. They are specialists in a variety of artificial intelligence-related fields, including mathematics, machine learning, deep learning, and statistics.

Employers anticipate that research scientists will have substantial expertise in computer perception, graphical modelling, reinforcement learning, and natural language processing. A bonus is having knowledge of benchmarking, parallel computing, distributed computing, machine learning, and artificial intelligence. Researchers, like data scientists, are expected to hold a doctorate in computer science.

According to the Glassdoor December 2022 [5], Average salary per annum was approximately US $1,00,000 and in India was INR 8,50,000.


  1. Natural Language Processing (NLP) engineers

NLP Engineers are AI experts who specialise on human language, covering both spoken and written data. NLP technology is utilised by engineers working on voice assistants, voice recognition, document processing, etc. Organizations anticipate a specialist certification in computational linguistics from NLP engineers. Additionally, they may be open to individuals with a background in computer science, mathematics, or statistics.

In addition to general statistical analysis and computing abilities, an NLP engineer must have knowledge of semantic extraction methods, data structures, modelling, n-grams, a bag of words, sentiment analysis, and so on. Competence with Python, web development, and similar technologies would be advantageous.

According to the Glassdoor December 2022 [5], Average salary per annum was approximately US $86,000and in India was INR 8,15,000.


If you're interested in pursuing a long-term career in artificial intelligence, it would be prudent to pursue one of these positions. After researching the topic of AI and identifying a suitable vocation, it is time to begin getting your degree, obtaining certifications, collecting experience, and establishing your portfolio. If you need to gain experience from mentors, one of the best opportunities is to perform virtual internship from iNeuBytes. Moreover, as an aspiring AI Enthusiast, you should always be abreast of the most recent and prospective advances in artificial intelligence. You should be current on the most recent conferences and events occurring in your field, as well as the issues discussed at these gatherings.



[1] Revenues from the artificial intelligence (AI) software market worldwide from 2018 to 2025, Statista. Online available at , Accessed on  12, December 2022.

[2] How much does an AI Engineer make?, Glassdoor. Online available at,2_IN1_KO3,14.htm , Accessed on  12, December 2022. 

[3] Indeed. Online available at, Accessed on  12, December 2022.

[4] AI will create 133m new jobs by 2025, but not enough people to fill them, Enterprise IoT Insights. Online available at , Accessed on  12, December 2022.

[5] Glassdoor. Online available at , Accessed on  12, December 2022.