9 In-Demand Career Opportunities in Artificial Intelligence(AI) in 2024

Artificial Intelligence(AI) is the intelligence of computers or machines that tries to mimic human intelligence. The current aim of Artificial Intelligence(AI) is to help humans with complex tasks and save time completing manual tasks. 

Artificial Intelligence(AI) to a group of technologies that allow computers to do a wide range of complex tasks, such as seeing, hearing, understanding, translating spoken and written language, analyzing data, providing suggestions, and more. 

Today as industries and businesses rely on Artificial Intelligence(AI) for automating and enhancing productivity, it is also transforming the job market by reshaping job opportunities and offering job roles like Artificial Intelligence Engineer.

While it is leading to a shift in job opportunities, it is also creating new career opportunities and industries. This results in demand for Artificial Intelligence(AI) job roles and career options in the field.

There are many in-demand career options in Artificial Intelligence(AI) for individuals from any background to pursue. Below are 9 different Artificial Intelligence(AI) careers to explore before you make your decision.

Business Intelligence Developer

Business Intelligence (BI) developers analyze complicated internal and external data to identify trends. They do not produce the reports themselves, in contrast to data analysts. They often create, model, and maintain complicated data on easily accessible cloud-based data platforms so business users can use the dashboards. 

Skills:

• A bachelor's degree in engineering, computer science, or a similar subject
• Practical knowledge of SQL, data mining, and other related topics.
• Familiarity with BI tools like Tableau, Power BI, etc.
• Strong technical and analytical abilities

Salary Outlook

The average annual salary of a Business Intelligence Developer in the US is $6,528. In the UK, a business intelligence developer gets paid £5,353 per annum. And Business Intelligence Developer in India gets an average annual pay of ₹543,453.

Some of the courses that will help you acquire business intelligence skills are as follows:

• Applying Machine Learning to your Data with GCP by Coursera
• Data Visualization with Tableau Project by Coursera
• Business intelligence and data analytics: Generate insights by Coursera
• SQL Server: Basic Microsoft SQL Server by One Education

Data Scientist

Data Scientists gather, examine, and derive insights for various organizational goals. They employ various technological tools, procedures, and algorithms to draw information from data and find useful patterns. This could be as simple as finding abnormalities in time-series data or as complicated as forecasting the future and offering suggestions.

Skills:

• Advanced degree in computer science, mathematics, statistics, etc.
• Knowledge of statistical analysis and unstructured data
• Knowledge of the Hadoop platform and other cloud tools like Amazon S3
• Python, Perl, Scala, SQL, and more programming languages.
• Working understanding of Hadoop, MapReduce, Pig, Spark, and other technologies

Salary Outlook

The average annual salary for a Data Scientist in the US is $50,734 . In the UK, a data scientist gets paid £41,602 per annum. And a Data Scientist in India earns an average annual pay of ₹4,223,618.

Explore the following data science courses and certifications for building data scientist skills:

• Applied Data Science Capstone by Coursera
• Data Science with R by Puralsight
• Data Analysis and Representation, Selection and Iteration by Coursera
• Data Science & Machine Learning with Python by One Education

ML Engineer

Machine Learning engineers utilize big data tools and programming frameworks to build scalable data science models that can manage terabytes of real-time data and are ready for production. 

Skills:

• Software engineering
• Data Science Applied Research
• Strong mathematical aptitude
• Expertise in deep learning, neural networks, and cloud computing
• Know-how in programming languages such as Java, Python, and Scala
• Knowledge of SQL and IDE tools for software development, such as Eclipse and IntelliJ

Salary Outlook

The average annual salary for a Machine Learning engineer in the US is $93,304. In the UK, a Machine Learning engineer gets paid £76,509 per annum; a Machine Learning Engineer in India gets an average annual pay of ₹7,767,558.

Some of the courses that will help you become a Machine Learning expert are as follows:

• AWS Machine Learning Engineer by Udacity
• AWS: Machine Learning Foundations by Future Learn
• Fundamentals of Machine Learning for Healthcare by Coursera
• Professional Certificate in Fundamentals of Google AI for Web Based Machine Learning by edX

Big Data Engineer

Big data engineers design and engineer ecosystems that enable communication between multiple business verticals and technology. This role might be more complicated than that of a data scientist, as often big data engineers and architects are involved in planning, creating, and developing big data environments.

Skills:

• A professional degree in mathematics, computer science, or similar disciplines
• Knowledge of programming languages such as C++, Java, Python, or Scala
• Knowledge of concepts such as data migration, visualization, and mining

Salary Outlook

The average annual salary of a big data engineer is $49,934 in the US. In the UK, a big data engineer gets paid £40,946 per annum. In India, this role is entitled to an average annual pay of ₹4,157,018.

Some of the best Big Data certifications that will help you acquire big data engineer skills are as follows:

• Google Data Analytics Professional Certificate by Coursera
• Big Data and Data Analytics Program by FORE School of Management
• IBM Data Engineering Professional Certificate by Coursera
• Big Data Hadoop Certification Training Course by Edureka

With big data certifications, professionals can advance their careers in big data and data analytics. Some of the benefits include skill validation, credibility, career advancement, specialization, etc.

Software Engineer

Artificial Intelligence(AI) software engineers create software products for Artificial Intelligence(AI) applications. They combine development activities like creating code, continuous integration, quality control, Application Programming Interface (API) administration, etc. 

They create and support the software used by architects and data scientists. They stay up-to-date on new developments in Artificial Intelligence(AI) technology.

Skills:

• Knowledge of artificial intelligence, data science, and software engineering
• Statistical and analytical abilities
• A bachelor's degree in physics, mathematics, engineering, computer science or statistics

Salary Outlook

The average annual salary for a software engineer in the US is $77,770. In the UK, a software engineer gets paid £63,771 per annum; in Software Engineer in India gets an average annual pay of ₹6,474,353.

Some of the courses that will help you acquire software engineering skills are as follows:

• Software Engineering Essentials by edX
• Unix Tools: Data, Software and Production Engineering by edX
• Software Engineering MasterTrack® Certificate by Coursera
• Software Engineering for Data Scientist in Python by DataCamp

Research Scientist

One of the Artificial Intelligence(AI) occupations with the highest academic demands is that of a research scientist. They pose original, thought-provoking queries for Artificial Intelligence(AI) to respond to. They are specialists in various fields related to Artificial Intelligence(AI), such as statistics, Machine Learning, deep learning, and mathematics. 

Skills:

• A doctorate in computer science
• Knowledge of graphical models, reinforcement learning, and NLP
• Benchmarking expertise
• Familiarity with parallel computing, distributed computing, machine learning, and artificial intelligence.

Salary Outlook

The average annual salary for a research scientist in the US is $39,899. In the UK, a research scientist gets paid £32,717 per annum; in India, this role gets an average annual pay of ₹3,321,573.

Some of the courses that will help you acquire research scientist skills are as follows:

• Applied Python for Data Science by QuickStart
• Python and Machine-Learning for Asset Management with Alternative Data Sets by Coursera
• Introduction to R Programming  RStudio for Beginners by BitDegree

Data Analyst

Traditionally, a data analyst gathered, purified, processed, and examined data to draw insights or conclusions. The advent of Artificial Intelligence(AI) has led to the automation of many routine tasks. 

Therefore, the Data Analyst position has undergone an Artificial Intelligence(AI) transformation. Data analysts today compile data for Machine Learning models, then use the results to create better and more insightful reports.

Skills:

• Proficiency in SQL and database languages
• Python for analysis and cleaning
• Dashboards for analytics and visualization software, such as Tableau, PowerBI, etc.
• Market and organizational understanding through BI

Salary Outlook 

The average annual salary for a data analyst in the US is $55,764. In the UK, a data analyst gets paid £45,726 per annum; in  Data Analyst in India gets an average annual pay of ₹4,642,353.

Some of the courses that will help you build top data analyst skills are as follows:

• Business and Data Analysis with SQL by Skillshare
• MicroMasters® Program in Analytics: Essential Tools and Methods by edX
• Data Analysis and Visualization with Power BI by Udacity
• Google Data Analytics Professional Certificate by Coursera

Natural Language Processing Engineer

Artificial Intelligence(AI) engineers focusing on spoken and written language are Natural Language Processing Engineers. Natural Language Processing technology is used by engineers who develop voice assistants, speech recognition software, document processing systems, etc. 

Starting a career in Natural Language Processing offers exciting opportunities to shape the future of communication technology and enhance user experiences.

Skills:

• Specialist degree in computational linguistics
• Background in computer science, math, or statistics
• Expertise in data structures, modeling, n-grams, a bag of words, sentiment analysis, etc
• General statistical analysis and computer abilities
• Prior knowledge of Python, ElasticSearch, web development, etc

Salary Outlook 

The average annual salary for a natural language processing engineer in the US is $99,880. In the UK, a natural language processing engineer gets paid £39,652 per annum. And in India, this role is entitled to an average annual pay of ₹12,28,044.

Some of the courses that will help you acquire Natural Language Processing engineering skills are as follows:

• U&P AI - Natural Language Processing (NLP) with Python by One Education
• Natural Language Processing Nanodegree Program by Udacity
• Post Graduate Certificate in Natural Language Processing by Coursera
• Applied Artificial Intelligence: Natural Language Processing by Future Learn

Robotics Engineer

Robotics has advanced considerably since the days of production lines. Robotic surgery is used in healthcare. Robots that resemble people are being created to serve as personal assistants. Making all this more possible is the job of a robotics engineer. Robotics engineers construct and maintain AI-powered machines. 

Skills:

• Graduate degree in engineering, computer science, or a related field
• Knowledge of CAD/CAM, 2D/3D vision systems
• Knowledge of Internet of Things (IoT)
• ML and AI skills

Salary Outlook 

The average annual salary for a robotics engineer in the US is $43,117. In the UK, a robotics engineer gets paid £35,356 per annum. Robotics Engineer in India gets an average annual pay of ₹3,589,496.

Some of the courses that will help you acquire robotics engineering skills are as follows:

• Begin Robotics by Future Learn
• Robotics by edX
• Become a Robotics Software Engineer by Udacity
• Robotics: Perception by Coursera

Many industries offer Artificial Intelligence(AI) jobs, including education, healthcare, finance, etc. Ranging from robots independently navigating a warehouse to cybersecurity systems continuously studying and improving themselves and virtual assistants who can comprehend what people are saying and are capable of taking appropriate action, Artificial Intelligence(AI) is extensively being used in various industries today, creating enormous jobs in Artificial Intelligence (AI), and impacting the job market for next gen professionals  some of which are:

Education

The education sector is slowly moving toward Artificial Intelligence(AI), employing it to personalize messages for institutions, grade paperwork, manage enrollment and much more. Educational content, such as video lectures, guides, and conferences, is also being made through Artificial Intelligence(AI) to provide a rich learning experience.

Social Media

Artificial Intelligence(AI) is employed by various social media platforms for tasks such as personalizing content based on user preferences, fraud detection, translating posts, and eliminating propaganda or hateful content.

Finance

Many financial services can be dramatically improved with Artificial Intelligence (AI). As Artificial Intelligence(AI) can see changes in transaction patterns and other potential fraud and red flags that people could easily overlook, it can spare individuals and corporations from severe loss. It can accurately predict and evaluate loan risks, detect fraud, and automate tasks.

Navigation

Uber and many logistics companies rely on Artificial Intelligence(AI) to increase operational effectiveness, evaluate traffic patterns, and optimize routes. Users of GPS technology can benefit from reliable, fast, and comprehensive information to ensure road safety.

Healthcare

Artificial Intelligence (AI)’s applications in healthcare are seen in sophisticated devices that can recognize cancer cells and detect disorders. To assure early detection of chronic illnesses, Artificial Intelligence (AI) can assist in analyzing lab and other medical data. Artificial Intelligence (AI) combines historical data with expert medical knowledge to manufacture novel medicines.

E-commerce

Artificial Intelligence (AI) facilitates e-commerce by providing a personalized shopping experience through recommendation engines that engage customers. Virtual assistants and chatbots, made with Natural Language Processing technology that mimics human behavior, help users in shopping on e-commerce portals and shopping websites. 

Artificial Intelligence (AI) can also significantly help prevent fraud by helping recognize fake reviews and reduce credit card fraud by analyzing usage patterns.

Marketing

Creating targeted and personalized ads through behavioral analysis is, without a doubt, one of the most impactful applications of Artificial Intelligence(AI) across any industry. It is also used to market content in a manner that matches the organization’s style. Various other uses of Artificial Intelligence(AI) in marketing include chatbot generation, analyzing user language, real-time personalization, and optimizing marketing strategies.

Automobiles

Self-driving automobiles use Artificial Intelligence (AI). Artificial Intelligence(AI) can be used to drive the car with radar, camera, cloud services, GPS, and control signals. By adding new technologies like emergency braking, blind-spot detection, and driver-assist steering, Artificial Intelligence (AI) can enhance the in-car experience.

Robotics

AI-powered robots employ real-time updates to immediately design their routes around impediments they detect in their way. Artificial Intelligence (AI) in robotics can be used for:

• Transporting commodities in warehouses, factories, and hospitals
• Cleaning huge equipment and offices
• Inventory control

Human Resources

Blind recruiting is aided by Artificial Intelligence (AI). Applications can be evaluated based on particular criteria using Machine Learning tools. AI-driven systems can scan resumes and profiles to shortlist recruiters a talent pool to choose from.

Agriculture

Identifying flaws and nutrient shortages in the soil is now easy with Artificial Intelligence(AI). One can determine where weeds grow by leveraging the advantages of machine learning, computer vision, and robotics. Crops can be harvested quickly and in greater quantities by AI bots than by human laborers.

With the introduction of potent new AI-powered products and services like AI-powered chatbots across industries, we are beginning to recognize that the Artificial Intelligence(AI) trend will continue to grow in the future. 

There has been a shift from the well-known role of Artificial Intelligence(AI) in analysis and prediction to fresh, cutting-edge systems, like DALL-E, that are creating whole new, never-before-seen artifacts.

Artificial Intelligence(AI) is evolving as a key differentiator for the commercial world. If a business cannot quickly and broadly uncover deep data insights, its competitor will. Professionals with technical and data science skills will continue to be remunerated well, owing to the imbalance in supply vis-a-vis the market demand.

Artificial Intelligence(AI) is a good career choice for the future and is considered a promising field that offers a wide range of opportunities for aspiring individuals. It is also a rapidly growing field, paving the way for more preferences or choices for interested individuals. 

Take a look at these factors that makes Artificial Intelligence a good career choice:

• High-Demand: From healthcare to finance, multiple industries are adopting ways of Artificial Intelligence(AI) and Machine Learning, creating many opportunities in the field of Artificial Intelligence (AI).
   
• Easy to Pursue: Artificial Intelligence (AI) combines many fields, including mathematics, computer science, data science and statistics. So anyone with these backgrounds or interested in these fields can pursue career opportunities in Artificial Intelligence(AI).
   
• Lucrative Salaries: The demand for Artificial Intelligence(AI) is only increasing across industries like finance and information technology, leading to offering attractive compensation packages.
   
• Top Companies: Artificial Intelligence (AI) professionals can work for major companies across the world today, including Amazon, Netflix, Apple, Google, Facebook, etc.

Artificial Intelligence(AI) is being used for many different things and has immense potential, so much so that it is hard to foresee a future without it, particularly in business. Artificial Intelligence(AI) technologies like workflow management tools and trend forecasting are increasing productivity like never before and even affecting how businesses advertise.

As per a report, the Artificial Intelligence(AI) market is valued to be around $2,575.16 billion by 2032 with a compound annual growth rate (CAGR) of 19% from 2023 to 2032. According to a Gartner 2019 report, Artificial Intelligence(AI) is used by 37% of companies and organizations. This rapid growth showcases the increasing recognition of Artificial Intelligence(AI)'s transformative potential across industries.

By manufacturing self-driving automobiles and providing more accurate weather forecasts and preventive health diagnoses, Artificial Intelligence(AI) will eventually displace many human workers and open up many new job opportunities in adjacent industries. Thus, preparing yourself for career opportunities in Artificial Intelligence(AI) technology tomorrow is a sure way to secure your future!