Artificial intelligence is gaining popularity in most industries. According to research, AI could replace 300 million full-time human jobs. The amount of time and effort humans can save by outsourcing to AI is unprecedented. If you’re an AI graduate or want to pursue a career in AI, there’s good news. Currently, the AI job landscape is continuously expanding. And, it’ll continue to grow as technology gets more advanced and powerful.
In this article, we’ll talk about the most in-demand AI jobs of the future. We’ll also address a few important questions related to artificial intelligence and to what extent it’ll replace human jobs in the future. Let’s dive in.
AI Jobs of the Future
Here are some of the most prominent AI jobs you can consider moving forward.
Machine Learning Engineer
Individuals with a data science and software engineering background make good machine learning engineers. The job requires good mathematical skills, deep learning experience, neural networks, and programming skills. To become a machine learning engineer, you’ll need a bachelor’s degree in computer science or a related field.
Data Scientist
Data scientists, as the name suggests, work with data to extract valuable insights. To do that, they use different tools and techniques. Data science projects can range from super simple to highly complex. To become a data scientist, you’ll need a bachelor’s and advanced degree in statistics, computer science, or a related field. Moreover, you’ll need some experience with:
- Programming languages like Python, Perl, SQL, and more
- Experience with cloud tools
- Good knowledge of Hive, Spark, etc.
Research Scientist
As a research scientist, you’ll have to take on some serious research projects. The job requires you to be good at multiple sub-professions, such as machine learning, statistics, mathematics, and deep learning. The educational requirements for a research scientist are also pretty high. You can expect to be compensated handsomely since it’s such an advanced role.
Software Engineer
Software engineering has been around for quite a while now. And, even in this AI-driven era, it’s not going anywhere. In fact, going forward, you may see a rise in organizations demanding skilled software engineers. The job entails writing code, quality control, API management, and more. They’re responsible for developing and managing AI software that other professionals like data scientists use.
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Data Analyst
A data analyst used to collect, clean, and analyze sets of data before the inception of AI. Today, AI can handle most of the repetitive tasks, so the responsibilities of a data analyst have evolved. Data analysts of the future will be responsible to collect and prepare data for machine learning projects. To be successful in this career, you need to be good at:
- Database languages such as SQL
- Python
- Visualization tools
- An understanding of the market
Data analysts may not make as much as some other professions on this list, but it’s surely a lucrative career path to consider if you like playing with data.
NLP Engineer
NLP stands for natural language processing. An NLP engineer is a professional who specializes in human language (Written and spoken). The job requires you to leverage NLP technology for projects involving voice assistants and speech recognition. Computational linguistics is a degree you should have before applying for NLP engineer jobs. Aspirants with a degree in mathematics, statistics, and computer science may also be considered for the role. NLP engineers can make a handsome amount yearly. The technology is still developing, so you can expect the field to expand in the future.
Robotics Engineer
Robots have been around for several decades. They were first introduced back in the 1950s. Today, robots are playing an important role in several industries. For instance, in healthcare, robots are being used in surgeries. The role of an AI robotics engineer is to build and manage such robots. An advanced engineering degree is required by most employers for this role. Robots engineers are expected to have knowledge of machine learning, CAD/CAM software, the Internet of Things, and more.
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What Skills Do You Need to Get a Job in AI?
Not all AI jobs are similar. So, the required skills may depend on the exact role. However, there are some commonalities since everything is, in one way or another, connected to artificial intelligence. Here’s what you need to learn before applying to AI jobs:
- Understanding of AI and machine learning
- Problem-solving skills
- Proficiency in languages such as Python and machine learning frameworks such as PyTorch
- The ability to communicate technical concepts to non-technical people (Inside teams and stakeholders)
- know-how of Natural Language Processing (NLP)
- Experience in software development
- Familiarity with data analysis and manipulation
AI Jobs of the Future: FAQs
Let’s talk about some frequently asked questions about AI jobs of the future.
Are AI Jobs in High Demand?
Yes, AI jobs are in high demand. Although AI has replaced a lot of workflows and tasks in many industries, it has open several new opportunities. This is because the successful implementation of AI in the workforce requires a lot of human involvement and creativity.
Do You Need a Degree to Get an AI Job?
No, you don’t always need a degree from an institute to get a job in artificial intelligence. However, a degree or certification from a reputable institute can help your chances of getting noticed by potential employers. It’ll add more weight to your resume.
What Jobs Will AI Replace by 2030?
Jobs that involve repetition are at the highest risk. Cashiers, telemarketers, manufacturing workers, data entry clerks, customer service representatives, and delivery services are some jobs that might be replaced by AI by 2030.
Future of AI Jobs: Conclusion
The field of artificial intelligence is still in its development stage. While the introduction of AI in many industries has raised a cause for concern for many human jobs, it has opened up quite a few lucrative opportunities. If you’re an AI graduate or want to get into this field, it’s probably the best time to get your foot in the door. Start by learning the basics of AI and understanding different roles. Pick a path that complements your degree or expertise and focus on that area. The industry is continuously evolving. As an AI professional, there’s probably nothing more important than staying on top of trends and keeping your skillset up to date.
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