Artificial Intelligence jobs are growing faster in the US because they transform the way our existing jobs work across various industries. Tech professionals adopting AI and Machine Learning courses are not only upskilling themselves but also increasing their earnings.
Artificial Intelligence has permeated almost every sphere in the tech industry. This is because employers in varied industries, including entertainment, finance, tech, and healthcare are looking for applicants who can use AI as effectively as possible.
Industries that have adopted AI technologies at their workplace can automate repetitive and mundane tasks. Not only that, they make highly informed decisions thanks to sophisticated ML algorithms. Additionally, AI enables personalized and customized experiences for customers in every industry, thus making them even more profitable.
There are various factors why Artificial Intelligence jobs have a high penetration. First, the US, a global leader in adapting new technologies has been actively making investments in AI research and development.
Top-tier companies like Google, Microsoft, and Netflix are the first to drive innovations. This not attracts a large talent pool but also encourages companies to introduce AI into their workplace.
What are Artificial Intelligence Jobs?
Artificial Intelligence (AI) jobs encompass a wide range of responsibilities, depending on the specific role and industry. These responsibilities may include design and development, data collection and analysis, model training and evaluation, algorithm optimization, continuous learning, deployment of ML models, and so much more.
The AI jobs emphasize enhancing the efficiency and effectiveness the commercial and traditional jobs with the help of intelligent systems.
Artificial Intelligence introduces automation to the workplace where repetitive tasks are high. For instance, AI-driven inventory management systems automate inventory tracking and answering common inquiries in the retail sector.
The main aim of AI jobs is to bring ease and efficiency to the workplace so that the workforce can focus on other tasks that require their attention more.
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List of Top High Paying Jobs in AI
AI and ML jobs are on the rise and certain metropolitan cities in the US are constantly on a hiring spree. This is because the demand for AI jobs has increased seeing the existing use cases and their potential.
If you have technical acumen, which mainly includes programming, coding, and data analytics then you can aim for several job roles in the AI field. Other than problem-solving skills, some soft skills like adaptability and communication further strengthen you to bag any job at a top-tier company.
While there are so many career paths and job roles available in the field of Artificial Intelligence, we are enlisting only the top 10 that are in high employment demand. The list includes the AI jobs that are in high demand in the US but note there is no particular order.
1. Data Scientist
Data Scientist is hands-down the most desirable and hottest job role right now. Data scientists’ key responsibilities are to collect raw data, analyze it, and transform it into actionable insights.
These professionals utilize multiple AI technology tools, algorithms, and processes to gain vital insights from the data and pinpoint meaningful patterns. Their job can be as simple as recognizing monotonous patterns or as challenging as forecasting.
The demand for data scientists in healthcare is increasing rapidly because they play a crucial role in analyzing complex healthcare data. They help in better decision-making with the help of ML algorithms. The average salary of a data scientist ranges from $115,000 to $155,000 in the US. This varies from experience level, for instance, someone who is proficient (5-7 years of experience), owns specific projects and requires minimal guidance can earn up to $155,000.
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2. AIÂ Research Scientist
Next on the list of top high-paying jobs in the US are the AI Research Scientists who earn as much as $115,000. Many industries require research scientists who can stay updated with the evolving AI technologies and suggest the best tools as per the market trends.
These scientists usually collaborate with data scientists to work on advanced research projects and develop useful AI algorithms and models to improve business operations. In a nutshell, AI research scientists are hired to push the company’s boundaries to make the best use of AI.
Demand for these AI specialists is increasing in IT and software services, e-commerce, automotive, media and entertainment, robotics, and many other industries.
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3. Machine Learning Engineer
Machine Learning engineers are in high demand and they work together with a group of engineers and researchers in the companies. As per Apple’s latest job description for Machine Learning, the base pay range for this role is between $199,800 and $300,200.
A machine learning engineer who has a proven track record of training and deployment of large models can land a job in top-tier companies.
Machine learning engineers use data and algorithms to enhance AI tools. Their major responsibilities include researching, analyzing, building, and improving existing AI systems.
Every industry requires ML engineers, including robotics, genetics and genomics, IT, finance, education, and e-commerce.
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Read More: Top 10 Machine Learning algorithms engineers need to know
4. Software Engineers
In AI, a software engineer’s job is to create new products, AI-powered apps, and software. Their major skill set includes Python and Java. A software engineer what programming languages, platforms or infrastructure is required to build an AI application. They hold analytical skills that help them solve crucial problems in any industry.
Often termed developers, software engineers write code and develop software based on the requirements of the company. They also test and improve the existing software, making it better with the evolving demands of the market. Additionally, they optimize the software for speed and scalability.
Software engineers can learn AI and Machine Learning if they wish to kickstart their career in Artificial Intelligence.
5. Natural Language Processing Engineer
Natural Language Processing (NLP) engineer is another highest paying artificial intelligence (AI) job in 2024 for individuals specializing in NLP technology.
NLP engineers are required to deploy ML methods and NLP tools and platforms, like speech recognition, chatbots, voice assistants, etc., to aid computers in understanding and interpreting human language.
Anyone working as an NLP engineer in the IT, e-commerce, robotics, customer service, data or finance industry should be qualified in mathematics, computer science, or statistics.
Furthermore, you can expect a $115,000 average salary, which can go over $150,000 after years of experience. You can learn the required skills from our comprehensive courses if you’re a tech professional and want to enhance your skillset in this growing AI field.
6. Robotics Engineer
One of the first jobs that come to our mind when we talk about AI is Robotics engineering. The job role is to minimize the workload on the existing workforce by introducing automation. The applications can vary from handling warehouse tasks like picking items.
AI in Robotics is a complex field and enterprises expect advanced degrees in engineering, computer science, or related fields.
Candidates should be well-versed in frameworks like CAD/CAM, IoT, 2D/3D visions, etc. Furthermore, programming languages include Python, C/C++, and sometimes. They are also expected to have an understanding of electric circuits and sensors.
Industries where the demand for robotics engineers is high including aerospace, defense, and warehousing.
Robotics and Artificial Intelligence are closely intertwined fields.
A lot of Robotics engineers learn AI techniques for sensor data processing, human-robot interaction, path planning and recognition, and so on. Their salary range from $150,000.
7. Computer Vision Engineer
Another high-paying AI job in the US is Computer Vision Engineer. Companies like Google, Microsoft, and Apple hire these engineers because of the wide range of applications. Projects like Google Photos, Azure Computer Vision, and facial recognition technology are all possible due to computer vision engineering. Such kinds of projects will continue to grow hence the need for professionals.
Not just the top-tier technology companies, the demand for computer vision engineers is high in automotive industries as well. Companies like Tesla, General Motors, and Waymo from Alphabet are stepping closer to a self-driving car mission. Similarly, the healthcare and biotech industry is increasingly adopting computer vision technology for medical imaging and diagnostic solutions.
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8. Business Intelligence Developers
Business Intelligence Developer is one of the highest-paying jobs right now in the field of AI. The job of a BI developer is to provide actionable insights and support in decision-making within an organization. A BI developer and data scientist share some common skills related to data analysis and manipulation.
They develop reports like data visualization with the help of BI tools like Tableau and Power BI. They also do data modeling and create ETL (Extract, Transform, Load) to transform the data into a usable format. They also do performance monitoring, and establish strong data governance policies within the company.
The earning potential of business developers in the US can range between $95,000 and $187,000. Industries with higher job openings for BI developers include e-commerce, finance, IT, retail, automotive, and more.
There are key areas where a BI engineer can enhance their knowledge with the help of Artificial Intelligence. They can familiarize themselves with ML algorithms.
9. Deep Learning Engineer
It’s a subset of machine learning that deals with artificial neural networks. They help in mimic the way we humans acquire knowledge. Deep Learning is inspired by the structure and function of the human brain’s neural networks.
Deep learning engineers select appropriate deep learning architectures based on the nature of the problem. They deploy trained models into the production environments. There are DL research scientists who earn high salaries.
Read More: 50+ Deep Learning Interview Questions
10. Big Data Engineer
With an earning potential from $123,089, the Big Data engineer is among the top highest-paying artificial intelligence (AI) jobs in 2024. Compared to Data Scientist role, a Big Data Engineer has a multifaceted role to play when it comes to designing, building, and maintaining the infrastructure necessary for processing and analyzing large amounts of data. They typically possess strong skills in distributed systems, data processing frameworks such as Hadoop and Spark.
The goal is to create robust, scalable, and efficient data infrastructure.
A Big Data Engineer works closely with data scientists, analysts, and other stakeholders to understand the data requirements of the company.
They can jump to the AI bandwagon and enhance the way of data processing and foster seamless communication across business verticals.
So, these were some top high-paying Artificial Intelligence Jobs across different industries.
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AI is not a passing trend, it’s here to stay and revolutionize the way we work. Top companies like Apple, Google, and Meta are continuously looking for the right talent that can help them innovate.
Additionally, the demand for AI talent is not just limited to tech giants, it encompasses a wide range of industries that are seeking to leverage AI for better efficiency.
Hence the need for skilled professionals with expertise in AI, including data scientists, machine learning engineers, and AI researchers will only continue to grow in the foreseeable market.
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FAQs
- What industries are recruiting AI professionals?
Almost every industry is welcoming AI professionals, from business intelligence, robotics, and healthcare to automotive, IT, education, e-commerce, and defense. With Apple, Google, Intel, Facebook, Microsoft, and IBM looking for AI professionals, the technology sector creates the most AI jobs.
- Is it possible to pursue a career in AI with no experience?
AI is a practical field; thus, enterprises seek candidates who can execute varied projects. Only experienced professionals can do the same. Therefore, you should have practical experience to secure a high-profile job in AI.
- What skills do I require to secure a high-paying job in AI?
You should focus on learning about programming languages, database modeling, problem-solving, and intelligent user interfaces. In addition, consider getting hands-on experience in machine learning, artificial intelligence, natural language processing, and robotics.
- How can I prepare for the AI job interview?
Since AI is a technical field, the interview for a potential AI job mainly comprises technical questions. Your ultimate solution to ace your AI job interview is to prepare with Interview Kickstart. You can learn from 500+ instructors, master vital AI skills, and boost your confidence with professionally-led training sessions and mock interviews.
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