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Top AI Jobs 2024
AI jobs in 2024 will be outrageous! It is estimated that by 2024, the AI sector will generate 12.8 million new work possibilities. That is a really large amount! The need for AI specialists is growing rapidly due to technological breakthroughs. In fact, it is predicted that the worldwide AI business will grow to an astounding $190 billion by 2024. So, if you’re interested in artificial intelligence, you’re on the correct track!
You might be curious about the types of jobs in this industry and how to get hired for one. The careers in artificial intelligence and the education and skills required to pursue them are summarized in the following article. Counterargument: While the growth of the AI sector may create new job opportunities, it is important to consider the potential displacement of existing jobs and the overall impact on employment rates.
Is artificial intelligence (AI) a good field to work in?
Yes, because;
- Artificial intelligence employment is in high demand, having increased by 33% in the previous two years.
- There is a significant skills shortage—not enough competent candidates with artificial intelligence (AI) to fill open positions.
- Professionals in artificial intelligence (AI), natural language processing (NLP), research science, and other data-related domains are highly compensated; the average pay for these positions is well over $100,000.
- careers in artificial intelligence offer a wide range of growth options due to the field’s rapid evolution.
Artificial intelligence employment is not only in high demand but also provides an excellent entry point into a variety of professions and sectors. The machine learning and programming languages you learn can be used in many different fields.
Is demand for AI jobs high?
For anyone interested in the expanding subject of artificial intelligence, the future seems promising in terms of employment opportunities. The demand for AI jobs is indeed high, with companies across various industries actively seeking professionals with expertise in artificial intelligence. Additionally, the advancements in AI technology and its integration into various sectors indicate a sustained need for skilled individuals in this field. As a result, pursuing a career in artificial intelligence can lead to long-term job security and growth potential.
According to the US Bureau of Labor Statistics, employment in computer science and information technology will increase by 11% between 2019 and 2029. This will result in approximately 530,200 new jobs in the industry, with higher-than-average compensation to attract candidates.
The Best AI Jobs in 2024
Employment in artificial intelligence isn’t uniform, even though it’s a young and specialized sector. There are numerous types of professions within AI that require unique abilities and experience. Let’s go over the top ten one by one.
1. Machine Learning Engineer:
Machine learning engineers work at the crossroads of software development and data research. They use big data technologies and programming frameworks to build production-ready, scalable data science models capable of handling terabytes of real-time data.
Best Paying Jobs in Technology
Machine learning engineers design AI’s predictive capabilities. They create scalable models that can process enormous amounts of real-time data. Programming knowledge in languages like Java, Python, and Scala, as well as strong mathematics abilities, machine learning, deep learning, and cloud applications, are required for this position.
In addition to their technical skills, machine learning engineers also collaborate with data scientists and domain experts to understand the specific requirements and objectives of AI models. They analyze and preprocess data, select appropriate algorithms, and fine-tune model parameters to achieve optimal performance. Additionally, they are responsible for deploying and maintaining these models in production environments, ensuring their reliability, efficiency, and accuracy over time.
Average Income:
In the United States, the average earnings for a machine learning engineer are $1,30,000. Companies such as Apple, Facebook, and Twitter pay substantially more than this.
2. Data Scientist:
Data scientists gather raw data, analyze it, and derive insights for a variety of reasons. To extract knowledge from data and find significant patterns, they employ a variety of technological tools, procedures, and algorithms.
Data scientists also play a crucial role in developing and implementing machine learning models, using their expertise to train and fine-tune these models for optimal performance. Additionally, they collaborate with cross-functional teams to translate their findings into actionable recommendations and drive data-driven decision-making within organizations.
They enable organizations to assess and improve their performance by providing access to data. Almost every sector can benefit from the broad subject of data engineering.
Average Income:
A data scientist typically makes $105,000 per year. With expertise, the average income for a director of data science can reach $200,000 per year.
3. Business Intelligence Developer:
Business Intelligence (BI) Developers analyze data trends to make important business decisions. They are in charge of creating and managing intricate data on cloud-based systems. A strong foundation in engineering, computer science, or a similar discipline is necessary for this position, as is practical experience with data analysis and knowledge of business intelligence tools.
Business intelligence developers play a crucial role in helping companies gain insights from their data and make informed decisions. They work closely with stakeholders to understand their data needs and develop effective solutions. Additionally, they are responsible for designing and implementing data models, as well as ensuring the accuracy and reliability of the data being analyzed.
Average Income:
Typically, business intelligence developers make $86,500, but with expertise, they can make up to $130,000.
4. Research Scientist:
One of the AI jobs with the highest academic demand is that of a research scientist. They pose original and creative questions for AI to answer. They are specialists in statistics, machine learning, deep learning, mathematics, and other fields related to artificial intelligence.
These curious brains make significant contributions to the field of artificial intelligence by taking on challenging problems in computer vision, graphical modeling, reinforcement learning, and natural language processing. A doctorate in computer science is demanded of researchers, just like it is for data scientists.
Research scientists in the field of AI are responsible for pushing the boundaries of knowledge and developing innovative solutions. They work closely with other experts in the field to develop cutting-edge algorithms and models that can tackle complex problems. Additionally, research scientists often publish their findings in academic journals and conferences, contributing to the overall advancement of AI as a discipline.
Average Income:
The average income for research scientists is $99,800, although this can fluctuate due to their high demand.
5. Big Data Engineer:
Experts in big data engineering and architecture create networks that facilitate efficient communication between different business sectors and technology. With the responsibility of planning, designing, and implementing big data environments on Hadoop and Spark systems, engineers and architects often have a greater sense of involvement in this role than data scientists do.
Most employers favor professionals with a Ph.D. in mathematics, computer science, or related fields. Big Data engineers are in high demand due to the increasing reliance on data-driven decision-making in businesses. They play a crucial role in developing and maintaining the infrastructure needed to handle large volumes of data efficiently. Additionally, their expertise in Hadoop and Spark systems allows them to optimize data processing and analysis, contributing to the overall success of organizations.
Programming knowledge in C++, Java, Python, or Scala is required of big data engineers. Additionally, they must have prior experience with data migration, data mining, and data visualization.
Average Income:
Big data engineers make an average of $151,300, making them one of the highest-paid positions in artificial intelligence. However, your average pay may differ depending on the industry.
6. Software Engineers:
Software engineers, often known as developers, build computer programs and applications. They can create anything from network control systems to computer games by using programming languages, platforms, and architectures. Additionally, a software engineer can test, improve, and maintain other engineers’ software.
They require statistical and analytical abilities in addition to programming abilities. Bachelor’s degrees in computer science, engineering, physics, mathematics, or statistics are usually required by employers. Having an AI or data science certification can also help you get a career as an AI software developer.
Average Income:
A software developer makes $108,000 on average per year. Depending on your industry, experience, and area of specialization, this can increase to an average compensation of $150,000.
7. Software Architect:
Software architects are responsible for designing and maintaining systems, tools, platforms, and technical standards. For artificial intelligence technology, this is what AI software architects do. In addition to planning and executing solutions and selecting the toolkit, they also build and manage AI infrastructure and guarantee seamless data flow.
Although a bachelor’s degree in software engineering, information systems, or computer science is required, real-world experience is just as important.
Software architects in the field of artificial intelligence technology play a crucial role in designing and implementing AI solutions. They not only need a strong educational background in software engineering, information systems, or computer science but also practical experience to excel in this role. With the increasing demand for AI technology, the compensation for software architects can potentially reach an average of $150,000 or even higher.
Average Income:
The average income for a software architect is $150,000 per year. With experience in data science, machine learning, and artificial intelligence, your typical salary can rise dramatically.
8. Data Analyst:
A data analyst used to be someone who gathered, cleaned, processed, and examined data to extract insights. These were once mostly boring, repetitive chores. A large portion of routine jobs have been mechanized as AI has grown. As a result, the analyst position has been enhanced to include the new AI job categories.
They must be proficient in the SQL and other database languages used to extract and handle data. Python used for cleaning and analysis. They also need to know about tools for data visualization and analytics, such as Tableau, PowerBI, etc.
Average Income:
The average salary for a data analyst is $65,000. However, the average wage for a data analyst position in high-tech corporations like Google, Facebook, and others exceeds $100,000.
9. Robotics Engineer:
Robotics engineers play an important role in AI advancement by designing and managing AI-powered robots. From the 1950s onwards, when industrial robots started to gain prominence, one of the earliest AI occupations was probably robotics engineering. Robotics has progressed from assembly lines to teaching English. Robot-assisted operations are used in healthcare.
Usually, companies require graduate degrees in computer science, engineering, or a related field for these positions. Robotics engineers may also be expected to know CAD/CAM, 2D/3D vision systems, the Internet of Things (IoT), machine learning, and artificial intelligence. These skills are necessary for designing and programming robots that can perform complex tasks autonomously.
Additionally, robotics engineers often collaborate with other professionals, such as mechanical engineers and software developers, to ensure the successful integration of AI technology into robotic systems.
Average Income:
A robotics engineer typically makes $87,000, but with experience and specialization, this can rise to an average salary of $130,000.
10. NLP Engineer:
Natural Language Processing (NLP) engineers are artificial intelligence (AI) specialists who specialize in human language, encompassing both spoken and written information. NLP technology is used by engineers who work on voice assistants, speech recognition, document processing, and so on. Organizations require an NLP engineer to have a specialist degree in computational linguistics. They may also be open to candidates with degrees in computer science, mathematics, or statistics.
NLP engineers play a crucial role in developing and improving AI systems that can understand and interpret human language. They use their expertise to design algorithms and models that enable machines to process and analyze textual data. As the demand for AI technology continues to grow, the job prospects for NLP engineers are expected to be promising. Additionally, with advancements in NLP technology, the average salary for NLP engineers is projected to increase even further in the coming years.
An NLP engineer would need expertise in semantic extraction techniques, data structures, modeling, n-grams, a bag of words, sentiment analysis, and so on, in addition to general statistical analysis and computer skills. Experience with Python, ElasticSearch, web development, and other programming languages may be advantageous.
Average Income:
The average income for an NLP engineer is $78,000, with experience earning more than $100,000.
Bottom Line:
The AI revolution is generating a wave of profitable job opportunities in addition to revolutionizing sectors. The top 10 highest-paying AI occupations cover a wide spectrum of positions, each with its own set of prerequisites and income possibilities.
These professions are not only financially rewarding but also intellectually interesting, making them appealing possibilities for people wishing to start a career in artificial intelligence.
Therefore, if you’re thinking about a career in artificial intelligence, this is the ideal time to jump in, ride the innovation wave, and ensure a lucrative future.
