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HomeBlogData ScienceAI Engineer Career Opportunities and Job Outlook
Artificial Intelligence is the core of the technology industry and is growing more competitive. AI, the driving force behind computer vision, voice analysis, robotics, and Natural Language Processing (NLP), has tremendously impacted the industry and is projected to do so in the decades to come.
It's no wonder that the AI industry has numerous job options. In fact, the industry is now faced with a challenge: There are many vacancies but not enough competent candidates. On the bright side, it provides assured AI engineer careers for those with the necessary skills. So, what are the initial steps for becoming an Artificial Intelligence Engineer? And what AI engineer career options are available in the vast field of Artificial Intelligence? Read this article thoroughly to know more.
Artificial Intelligence is a branch of computer science that deals with the development of intelligent machines to perform tasks that typically require human intelligence. These include speech recognition, decision-making, language translation, image recognition and more.
AI systems work by consuming vast volumes of labelled training data, analyzing the data for correspondence and patterns, and then using these patterns to forecast future states. New generative AI algorithms can deliver realistic text, graphics, music and other content.
Artificial Intelligence Technology Landscape
An AI engineer develops AI models by combining Deep Learning neural networks and Machine Learning algorithms to utilize business accuracy and make enterprise-wide decisions. AI engineers are well-versed in programming, software engineering, and data science. They employ various tools and approaches to handle data and construct and manage AI systems. They also work with Big Data technologies such as Hadoop and Spark to manage and process large datasets.
AI is the fastest-growing field in the job market, with a projected expansion at a CAGR of 38.1% between 2022 to 2030. As AI continues to move the accommodation and food services, healthcare, finance, e-commerce, and entertainment industries, there will be a significant demand for AI engineers with suitable skills and expertise. Here are some of the top AI engineer career opportunities in 2023:
AI researchers conduct research on AI-based systems and applications, develop new algorithms and models and publish research papers. AI researchers work in academic and research institutions, as well as in private companies involved in AI research and development.
Key Skills:
An AI researcher's annual pay is around $100,000 - $150,000.
Get started in a top-paying career as an AI engineer. Enroll in the top Data Science courses to learn how to deliver business accuracy from Big Data using Machine Learning and Deep Learning techniques.
AI software engineers design and develop AI-based applications and software systems to perform intelligent tasks. They develop algorithms and models integrated into software applications.
Key Skills:
An AI software engineer's annual pay is $108,000. It can reach $150,000 based on specialization, experience, and sector.
Big Data engineers design and develop large-scale data processing systems. They work with massive datasets and use advanced tools and techniques to extract insights and value from the data.
Key Skills
In the United States, the average salary for a Big Data engineer is around $132,922 per year.
Business Intelligence (BI) professionals develop data-driven solutions to improve business operations and decision-making. They are accountable to build, model, and manage complicated data in highly comprehensible cloud-based data platforms for users to access in dashboards.
Key Skills:
Business intelligence developers earn an average salary of $90,000, which can reach up to $130,000 with experience.
Machine learning engineers develop Machine Learning algorithms and models for applications, such as image recognition, Natural Language Processing, and predictive analytics. They use Big Data technologies and programming configurations to build production-ready extensible Data Science models with the ability to handle vast real-time data (sometimes in terabytes).
Key Skills:
In the United States, the average salary for a machine learning engineer is $155,546.
These engineers devise Deep Learning algorithms and models that allow computers to learn from data. This involves working with vast data sets, building and testing Machine Learning models and optimizing algorithms for optimal execution.
Key Skills:
The average annual salary of a Deep Learning engineer in 2023 is $130,000 - $180,000 in the United States.
According to Indeed, the intermediate pay in a career path for AI Engineer in the United States is $142,000 per year. The salaries can differ depending on aspects such as experience, location, and industry. In 2023, it is predicted that the AI engineer career with experience in machine learning and deep learning will command higher salaries.
Several factors can affect the salary of different career paths for AI engineers. These include:
The location can affect the salary. AI engineers working in the tech hub of San Francisco and New York City can gain higher salaries than those working in smaller cities.
AI Engineer Salaries can vary based on the industry they serve. AI Engineers in the finance industry can earn higher salaries than in the retail industry.
Experienced AI engineers tend to earn more than entry-level AI engineers.
AI engineers with specialized skills such as Natural Language Processing, modeling, data visualization and computer vision earn more than those without specialized skills.
The outlook for the career path for AI engineer jobs is tremendously promising. According to LinkedIn, Machine Learning engineering roles have grown by 74% annually over the past five years, indicating this is one of the most popular AI engineer career paths. It is projected there will be 2 million unfilled AI jobs by 2023.
The Bureau of Labor Statistics estimates there will be 11.5 million data-related job openings by 2026. The demand for AI research scientists is expected to grow by 19% by 2023 and for robotics engineers is expected to grow by 9% by 2023. The projections clearly indicate the demand for AI engineers will continue to grow in the coming years.
According to Indeed, the top cities across the globe for Artificial Intelligence Jobs are as follows:
City | Top Job Roles | Average Salary in 2023 |
---|---|---|
San Francisco | AI Software Engineer, Machine Learning Engineer | $168,362 |
New York | Data Scientist, Big Data Engineer | USD 135,449 |
Toronto | AI Software Engineer, Data Scientist, Machine Learning Engineer | CAD 172,067 |
London | AI Software Engineer, Data Scientist, Machine Learning Engineer | EURO 67,398 |
Bangalore | AI Software Engineer, Machine Learning Engineer | INR 900,000 |
Sydney | AI Software Engineer, Data Scientist, Machine Learning Engineer | AUD 182,747 |
To pursue an AI engineer career and boost job prospects follow this route:
Enroll in a degree program in computer science or a related field and take courses in Machine Learning, Data Science, and programming languages such as Python and R.
Develop your own AI projects and showcase them on platforms like GitHub or Kaggle. It will demonstrate your skills and experience to potential employers.
Attend industry events, join online communities, and connect with AI professionals on different platforms. To acquire experience, you can work with data for a local organization or embark on a data-focused assignment as part of your learning.
An internship allows you to gain practical experience and build relationships with professionals in the industry.
Stay up-to-date with the latest trends and technologies in AI by attending conferences and reading industry publications.
With the right education, skills, passion for learning and experience, you can build a prosperous career in this captivating field and be at the leading edge of the digital revolution. So, if you are up for the challenge, start exploring the AI technology trends, go through the Artificial Intelligence course syllabus, gain valuable insights, hone relevant, network with peers and professionals in the field and enter the world of AI engineering today.
An AI engineer career can be rewarding and challenging. There are certain things to contemplate before seeking a career path as an AI engineer.
You can also polish your data science skills with KnowledgeHut top Data Science courses. The comprehensive courses will equip you with all the necessary skills to succeed in this rapidly growing field. From Machine Learning algorithms to data visualization techniques, you'll learn the ins and outs of data science from the top industry experts.
AI has numerous career opportunities such as Machine Learning Engineer, Data Scientist, AI research scientist, robotics engineer, AI consultant, computer vision engineer, Natural Language Processing engineer, and AI product manager.
Yes, AI engineers are in high demand due to the growing demand for AI technologies in various industries. According to the Bureau of Labour Statistics, Artificial Intelligence engineers' career growth is anticipated to be at least 31.4% by 2030.
Yes, AI has a vast scope in the future. The job market for AI engineers is expected to grow exponentially and revolutionize healthcare, finance, retail, transportation, education, entertainment and more industries.
Yes, AI requires coding. AI engineers need to be proficient in basic programming languages such as Python, Java, Scala and C.
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