Top 7 Artificial Intelligence Careers to Pursue in 2023

AI and ML Jobs


Ten years ago, not many believed that artificial intelligence (AI) could be such a game-changer. The concept of machine learning has been around for years, but recent advances in this technology have made machine learning an integral part of how we live and work. From facial ID recognition, navigation maps, chatbots, voice assistants, search engines, text editors to smart home his devices, AI is part of everyday life today.
This evolution has also brought abundant employment opportunities. According to a recent report, the demand for AI and machine learning talent has grown by almost 75% in the last few years, and is expected to continue growing. If you want to succeed in this field, now is the time to build a career in it. There are a wide variety of paths available for a career in AI. They all require specialization in a particular set of skills and responsibilities. Therefore, to decide which path best suits your goals, you must first understand these basics. We have curated a list of the most in-demand AI careers you can pursue to launch your professional career.

1) Machine Learning Engineer
Machine learning engineers have expertise in developing, designing, and deploying self-executing software. These software solutions give machines the ability to automate predictive models. Over time, the more the computer learns from the inserted data sets, the better it can predict outcomes from new data sets. A simple example of this concept is the recommendations a streaming app makes based on the genre of shows you watch most. Additionally, chatbots, virtual assistants, self-driving cars, traffic prediction, and search recommendations are emerging applications in this space.

Education – Strong background in computer science, data programming, mathematics and related fields.Entry level salary – 3 million yen or more per year
2) Data Scientist
A data scientist’s job involves collecting and analyzing complex data using a variety of analytical and statistical AI tools. The main purpose is to extract valuable information from raw data and use it to generate the solutions that business organizations need to grow in competitive markets. For example, a food delivery app uses data from previous orders and browsing history to generate discount offers that users are most likely to accept.

educational background – Bachelor’s degree in data science, computer science, or related field. Many employers prefer candidates with a master’s degree in data science.

Entry level salary – Over 500,000 rupees per year

3) AI researchers
Research scientists are responsible for performing various experiments on existing models in order to create new algorithms. Simply put, their job is to improve and modify the way machines think and act. The algorithms generated by them further aid in analyzing data and generating patterns. As a result, the opportunities for AI scientists are countless. It spans industries such as healthcare, finance, marketing, insurance, retail and manufacturing.

Education – Bachelor’s degree in Computer Science or Computer Programming that demonstrates a basic understanding of algorithms.
Entry level salary – 3,25,000 rupees and above

4) Robot Engineer
As the name suggests, robotics engineers develop robots that can perform many tasks without human intervention. They do this by combining elements of computer science, engineering, cognitive psychology, and electronics. Moreover, these excellent products ensure that repetitive tasks are simplified and performed with utmost precision. A prolific product of this technology, drones are now being used in industries such as agriculture, military, entertainment and real estate to increase efficiency and accuracy while reducing costs and time.

Education – Have at least a degree in computer engineering, mechanical engineering, or robotics.

Entry level salary – Over 3,50,000 rupees

5) AI Ethicist
AI ethicists are assigned the task of imbuing AI systems with ethical, political, and social perspectives. This allows a system or machine to operate in a transparent, fair and impartial manner. In the past, many tech giants have been embroiled in legal battles over their potential unethical use of large amounts of data collected from their users and customers. To mitigate such ethical risks associated with AI, companies are eager to hire professional ethicists. Perhaps this is why his AI ethicist is in such high demand in the job market.

Education – A bachelor’s degree in ethics, philosophy, computer science, or a related field might be a good start.

Entry level salary – 200,000 rupees or more

6) UX designer
A UX or user experience designer plays an integral role in evaluating how users interact with a product, program, or website. By carefully monitoring consumer expectations, behaviors, desires and triggers, they design and develop products that are extremely easy to operate. For example, when visiting a hotel booking website, the UX designer ensures that the entire search process is quick and user-friendly. Plus, the smart features they install increase engagement and traffic.

Education – Bachelor of Science in Technology, Science and Engineering. Many private universities also offer specific he UX Designer courses to help you acquire the skills you need.

Entry level salary – Over 2,60,000 rupees

7) Business Intelligence Developer
Business intelligence developers are responsible for developing and maintaining several software solutions that can be used to access data and support company goals. Additionally, they are expected to perform duties such as collecting data, analyzing it, creating new solutions for data processing, correcting errors in tools, and implementing remedial measures.

Education – Bachelor’s degree in IT, Computer Science, Software Development, Business Intelligence, or Mathematics.

Entry level salary – Over 3,40,000 rupees



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