Career Opportunities in Artificial Intelligence: List of Various Job Roles

Deep Machine learning Artificial intelligence AI technology concept on virtual screen.

Artificial Intelligence is a field that involves the use of machines programmed to think and perform like humans. With AI evolving at an exponential rate in today’s digital age, its scope and the careers available in AI are growing too. As predicted by the Bureau of Labor Statistics, there shall be a 31.4 percent rise in careers and jobs for data scientists and mathematical science professionals by 2030. These professionals are crucial to the ever-growing potential of Artificial Intelligence.

As complex a field as AI is, it allows for the existence of different job roles under the same roof. There is also a dearth of talented enough individuals that could fill up the vacancy for a skilled AI professional, which indirectly leads to higher pay. Let us look at a few job roles that one can go for if they are interested in AI.

List of Job Roles in AI

1. AI Engineer

With a clear and thorough understanding of data science and programming, AI engineers are the ones who develop various models of Artificial Intelligence that allow them to provide solutions to problems that arise in organizations.

They utilize deep learning neural networks and machine learning algorithms to build these models, test them and deploy them in order to extract insights that benefit a business organization by helping them take effective business decisions.

Qualifications required

A graduate degree in any of the relevant technical subjects such as IT, Computer Science, Statistics, Data Science, etc. is beneficial when it comes to becoming an AI engineer. One could also go for a post-graduation in similar fields. Knowing programming languages, data engineering, etc., is an added advantage. For graduates from non-technical backgrounds, practicing AI tools and skills and gaining certifications and experience is also a way of entering this field.

Average Salary

The average salary of an AI engineer in India is ₹9,80,917/yr.

2. Data Scientist

A Data Scientist is someone who collects, processes, and analyses data from multiple sources, in a manner that gives out effective insights into various business issues. They help organizations make informed decisions and grow, thereby positively impacting the growth of businesses.

Data Scientists are at the heart of a business, especially nowadays when all businesses, whether small or large, are run online.

Qualifications required

A graduate degree in any of the relevant technical subjects such as Information Management, Economics, Mathematics, Computer Science, Statistics, Data Science, etc. is beneficial when it comes to becoming a Data Scientist. One could also go for a post-graduation in similar fields. More than the degrees, an understanding of Data Visualization, Data Wrangling, Statistics, Programming, etc. would come in more handy. For graduates from non-technical backgrounds, obtaining certifications and experience is also a way of entering this field.

Average Salary

The average salary of a Data Scientist in India is ₹10,00,000/yr.

3. Machine Learning Engineer

One of the major job roles in the field of Artificial Intelligence, being a Machine Learning Engineer involves the fusion of software engineering and data science. Research, development, and design of self-running predictive models are the tasks of a Machine Learning Engineer.

They use AI to process huge data sets which allows them to create and develop algorithms that can learn from past behavior and make effective predictions for the future.

Qualifications required

A graduate degree in any of the relevant technical subjects such as Mathematics, Computer Science, Statistics, etc. is beneficial when it comes to becoming a Machine Learning Engineer. One could also go for a post-graduation in similar fields. Apart from this, a sound knowledge of programming languages such as Python, Java, or R, is preferable. For graduates from non-technical backgrounds, obtaining certifications and experience is another way of entering this field.

Average Salary

The average salary of a Machine Learning Engineer in India is ₹9,50,000/yr.

4. Software Architect

The role of the Software Architect is to develop high-level concepts and user interface designs for software applications. Technical standards, tools, platforms, and systems are designed and maintained by software architects. AI Software Architects are responsible for developing, maintaining, planning, and implementing AI solutions, selecting the toolkit, and ensuring that data flows smoothly. A software architect is a step up from a software developer.

Qualifications required

A graduate degree in any of the relevant technical subjects such as Software Engineering, Computer Science, Information Systems, etc. is required when it comes to becoming a Software Architect. One could also go for a post-graduation in similar fields. Apart from this, a sound knowledge of programming languages such as Python, Java, C++, R, etc. is preferable, along with a lot of exposure and experience in software development. For graduates from non-technical backgrounds, obtaining certifications and experience is another way of entering this field.

Average Salary

The average salary of a Software Architect in India is ₹26,82,517/yr. 

5. NLP Engineer

A combination of Computer Science, Artificial Intelligence, Linguistics, and Information Systems is what gives way to Natural Language Processing. The role of Natural Language Processing Engineers is to ensure that everyday language is processed and analyzed by a computer in order to create a better user experience.

They utilize AI and NLP technologies to engineer systems like voice assistants, speech recognition, and more, as per the requirements of the organizations. They also train and run experiments on the developed systems. Statistical analysis of the results and accordingly improving the models is also done by the NLP engineers.

Qualifications required

A graduate degree in any of the relevant technical subjects such as Mathematics, Science, Physics, Computer Science, etc. is recommended when it comes to becoming a Natural Language Processing Engineer. One could also go for a post-graduation in similar fields. Apart from this, a sound knowledge of semantic extraction techniques, data structures, modeling, etc. is preferable, along with a lot of exposure and experience in computational linguistics. For graduates from non-technical backgrounds, obtaining certifications and experience is another way of entering this field.

Average Salary

The average salary of a Natural Language Processing Engineer in India is  ₹7,36,609/yr.

6. Robotics Engineer

As per the name, Robotics Engineers are professionals who work on developing robots and their frameworks, testing them, analyzing them, and maintaining them. They infuse devices and machinery with Artificial Intelligence which allows them to mimic human actions so as to improve precision, speed, and more. They are in high demand as this field is still in its nascent stage but developing exponentially.

Qualifications required

An advanced degree in any of the relevant technical subjects such as Mechanical Engineering, Computer Science, etc. is recommended when it comes to becoming a Robotics Engineer. One could also go for a post-graduation in similar fields. Apart from this, a sound knowledge of AD/CAM, 2D/3D vision systems, Machine Learning and Artificial Intelligence, the Internet of Things (IoT), etc. is preferable.

Average Salary

The average salary of a Robotics Engineer in India is  ₹4,81,696/yr.

7. Big Data Engineer

A big data engineer is responsible for developing systems that facilitate communication between a variety of business verticals and technologies. They are responsible for assisting businesses in administering their data efficiently. The job of a big data engineer may feel more involved than that of a data scientist, as they tend to plan, design, and develop large-scale data environments on platforms such as Spark and Hadoop.

Qualifications required

A Ph.D. in any of the relevant technical subjects such as Computer Science, Mathematics, etc. is preferred when it comes to becoming a Big Data Engineer. Apart from this, knowledge of programming languages such as Python, C++, Java, etc. is expected of a Big Data Engineer. For graduates from non-technical backgrounds, obtaining certifications and hands-on experience is also a way of entering this field.

Average Salary

The average salary of a Big Data Engineer in India is ₹8,00,000/yr.

8. Business Intelligence Developer

A Business Intelligence Developer is someone who combines the business side of running an organization with the Artificial Intelligence side of it. They are responsible for the compilation and simplification of valuable information using business intelligence systems. The data collected by businesses is huge, and therefore, the work of a Business Intelligence Developer is to derive meaningful insights and quantifiable solutions from it using BI interfaces and softwares.

Qualifications required

A graduate degree in any of the relevant technical subjects such as Mathematics, Computer Science, Engineering, etc. is beneficial when it comes to becoming a Business Intelligence Developer. One could also go for a post-graduation in similar fields. Apart from this, having a thorough understanding of data mining, big data analytics, predictive analytics, statistical analysis, business analysis, etc. is preferable. For graduates from non-technical backgrounds, obtaining certifications and experience is also a way of entering this field.

Average Salary

The average salary of a Business Intelligence Developer in India is ₹7,00,000/yr.

9. AI Data Analyst

The main responsibilities of an AI Data Analyst include procuring, preparing, cleaning, and modeling data utilizing machine learning models and new analytical techniques. Machine learning models are built based on the prepared data, and meaningful reports are generated. These reports are the most helpful to stakeholders when it comes to making efficient and informed business decisions.

Qualifications required

A graduate degree in any of the relevant technical subjects such as Artificial Intelligence, Computer Science, Data Science, etc. is beneficial when it comes to becoming an AI Data Analyst. One could also go for a post-graduation in similar fields. Apart from this, having a thorough understanding of data visualization, data cleaning, SQL, Python, etc. is preferable. For graduates from non-technical backgrounds, obtaining certifications and experience is also a way of entering this field.

Average Salary

The average salary of a Business Intelligence Developer in India is ₹6,04,880/yr.

10. AI Software Engineer

A software engineer in the field of artificial intelligence develops software for applications involving artificial intelligence. As part of AI processing, they bring together development tasks such as code creation, continuous integration, quality control, API management, etc. These individuals are responsible for developing and maintaining the software used by data scientists and architects.

Qualifications required

A graduate degree in any of the relevant technical subjects such as Artificial Intelligence, Computer Science, Software Engineering, etc. is beneficial when it comes to becoming an AI Software Engineer. One could also go for a post-graduation in similar fields. Apart from this, having a thorough understanding of software development, computer programming, coding, object-oriented design, etc. is preferable. For graduates from non-technical backgrounds, obtaining certifications and experience is also a way of entering this field.

Average Salary

The average salary of an AI Software Engineer in India is ₹5,38,822/yr.

Conclusion

Artificial Intelligence is a growing field with exponential growth in terms of jobs. As the world moves further and further towards digitization, businesses have started hiring Artificial Intelligence professionals. Industries ranging from healthcare to sports to education and agriculture, and many more, have all been adapting AI in their day-to-day operations. The major companies that hire AI professionals include Google, Facebook, Amazon, Adobe, Intel, Infosys, IBM, and so many more. The sheer growth of the field should be enough to convince you to deep dive into AI and find your dream job.


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