What comes to mind when you think of Artificial Intelligence(AI)? Is it data-crunching robots that can do your job better than you can? Maybe it's a chatbot that will handle your customer service needs and make you money while you sleep.
While these are both examples of artificial intelligence, they're not the most exciting or relevant forms of AI. In fact, they're far from the most common use cases for AI technology right now. Instead, we're talking about machine learning and artificial general intelligence (AGI).
In the world of data, many careers can help you build, analyze, and understand data. AI careers are just one of them. The data landscape is a rapidly changing place, and the opportunities for careers in data science are growing exponentially. In fact, there's been a staggering number of new jobs created within the last year and more than 1 million open positions in the industry.
No worries, I have got your back. In this blog, You explore all you need to know about AI and the popular AI jobs coming to future-proof your career. Also, click here to learn about an online data science course in Hyderabad offered by Learnbay.
Artificial Intelligence in Data Landscape
After all, your data is a valuable resource. It's more than just an afterthought — it can build an automated, predictive system to do work that humans traditionally did. And this is where AI careers come in. Over 10 million jobs in the U.S. are expected to be replaced by robots and AI within the next decade.
"By 2030, the global GDP would have risen by an estimated USD 15.7 trillion, or 26%, as a result of AI, as per PwC's Global Artificial Intelligence Study." Artificial Intelligence(AI) is going to have a significant impact on careers in the coming years and decades, but right now, there is still a lot of uncertainty about how people will be able to make money off of their skills as they become more valuable.
Overview of Artificial Intelligence (AI)
The term "artificial intelligence" refers to the ability of machines to learn, think, and make decisions based on data. Artificial intelligence (AI) was initially developed in the 1950s and 1960s by scientists like Marvin Minsky and John McCarthy at MIT.
The goals of AI include:
- Improving our understanding of human thought and behavior.
- Developing applications that can perform tasks that are difficult or impossible for humans.
- Creating intelligent machines that can help us solve tricky problems.
How AI Benefits Businesses
Artificial Intelligence (AI) is poised to revolutionize the economy and business world. With technology advancing exponentially, it's time to consider how AI jobs can benefit businesses.
Today, AI is being used in many different sectors across the globe.
For example,
- Google utilizes AI-based systems that recognize images and speech patterns to improve speech recognition accuracy.
- Amazon uses machine learning algorithms to predict which products consumers will buy.
- Instagram uses machine learning algorithms to identify users with personalized ads.
What are the career opportunities for AI professionals?
Today, AI careers are in high demand, and that won't change anytime soon. While the number of AI-related jobs is expected to rise by 3.3 million over the next decade, the need for more people with skills in the field will only increase.
If you're interested in building artificial intelligence systems or working on a project that involves developing or using AI-based software, there are many different types of jobs available to you. The most common types include:
- Data scientists: Data scientists use machine learning techniques to analyze large amounts of data and make recommendations based on that information. They use statistical tests to determine how likely a particular outcome will actually occur (for example, if an algorithm predicts that a certain number of people will respond well to an email campaign). To become a data scientist, you can join the IBM-accredited data science certification course in Hyderabad and acquire the necessary skills.
- AI Engineers: AI engineers are experts who use AI and machine learning to develop business applications to reduce costs, boost revenue, increase efficiency, and make meaningful decisions. AI engineering aims to develop tools, systems, and procedures that make it possible to employ artificial intelligence in practical settings. Artificial intelligence refers to almost any application that performs tasks like problem-solving and learning similar to those performed by humans.
AI engineering offers huge development and frequently has excellent pay because it is a specialized, rapidly expanding sector. AI engineers are employed by IT businesses like IBM, Google, Meta, and many more, which benefits them by enhancing their operations, delivery, and software. This position can be your best choice if you love to develop new tools and machines.
- AI Researchers: Researchers conduct experiments on everything from rats' brains to pigeons' hearts to better understand how humans think (and why we sometimes make bad decisions). A research scientist is responsible for planning, carrying, and analyzing data from carefully monitored laboratory studies, tests, and trials. Additionally, a research scientist needs to be well-versed in various AI fields.
- Robotic Scientist – Robotic scientist is one of the advanced level AI specialists who can develop robots and machines. A robotic scientist is a person who has received extensive formal education and who develops mechanical devices to carry out a variety of activities, whether it be about machines going where humans can't or robotic hands for microscopic tasks. However, there is a chance that a robot will automate some jobs, but this requires a robot maker.
- AI architect – Organizations look to hire AI architects and people for other roles like machine learning engineers and data scientists since the work of an AI architect differs from those of these other positions. AI architects handle the general requirements of projects involving artificial intelligence. The creation and upkeep of architecture employing cutting-edge AI technology frameworks fall under the purview of this position.
AI architects must consider the big picture of an AI deployment project to comprehend general mission objectives, be familiar with the various ways AI can be applied to these objectives, and manage teams to achieve those objectives.
- Business Intelligence (BI) Developer – Generally, a BI developer uses specific softwares tools focused on BI to transform data into meaningful insights. As the name suggests, this advanced position requires business knowledge and artificial intelligence. BI developers spend most of their time researching and planning solutions for existing business problems within the company.
- Machine learning engineer (ML Engineer) –
A machine learning engineer is a specialist focusing on developing and implementing self-contained artificial intelligence (AI) systems that automate the usage of prediction models. These engineers are responsible for inventing and developing machine learning-related AI algorithms that can learn and make predictions.
The best part is when you are employed as an ML engineer, your responsibilities will include collaborating with Data Scientists, Analysts, Administrators, Data Engineers, and Data Architects as part of a wider Data Science team.
ML engineering is a fanatics career choice as it offers a variety of high-paying job options. It is a field on the verge of significantly altering the automation world.
Before starting a career in AI, you must have strong knowledge of the following:
- Computer Science: programming expertise with Python, Java, Julia, etc.
- Physics, CS engineering, and robotics
- Mathematics: calculus, logic and algorithms, probability, and statistics
- Cognitive theory
Future of Artificial Intelligence
As you can see, Data is a big part of the job market right now, and it will only get bigger.
Data science has become one of the fastest-growing careers, and with good reason. It's an exciting field that allows you to combine your passion for solving problems with cutting-edge technology. And don't think that just because data science is so hot right now means it will stay that way forever—it's already showing signs of slowing down and starting to plateau.
That means there's still plenty of opportunity for those who want to take advantage of the current trend in AI engineering!
As AI becomes more complex, it will be needed even more to manage the data that feed into it. Data science is the future of technology, offering a variety of exciting jobs and opportunities for people with a passion for technology and business. As organizations continue to refine their strategies for AI projects, careers in data science and AI will only increase in viability and popularity.
On the other hand, with AI showing up in more and more aspects of modern life—from healthcare to manufacturing—companies will need experts who can work with artificial intelligence and data. As the field of AI grows, the potential for AI careers looks promising to get into—whether you're still a student or have the experience of someone looking for a new direction in their career.
So, where will jobs in AI fit into the data landscape going forward?
The need for creative, non-traditional data engineers, data scientists, AI engineers, and machine learning professionals will grow exponentially over time due to a significant increase in the amount of data that needs to be collected and analyzed. This is an exciting time to be a part of the AI job market, but the competition for these positions may also be fierce with so many opportunities available. Hopefully, this blog on AI careers has helped you discover your next career option!
Learnbay Institute offers the top data science and artificial intelligence course in Hyderabad, designed in alignment with the current trends. This training program is perfect for those who want to gain cutting-edge tools and move to a lucrative AI career in MAANG firms.
