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AI Engineer Career Opportunities and Job Outlook

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17th Jan, 2024
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    AI 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.

    What is Artificial Intelligence?

    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 Engineer Career Opportunities?

    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:

    1. AI Researcher

    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:

    • Strong knowledge of AI algorithms and models
    • Command in programming languages such as Python, Java, and C
    • Experience in data analysis and statistical modelling
    • Strong research and analytical skills
    • Good communication and presentation 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.

    2. AI Software Engineer

    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:

    • Strong knowledge of software development methodologies and best practices
    • Proficiency in Python, Java, and C
    • Proficiency in developing AI-based software applications
    • Familiarity with Machine Learning and Deep Learning algorithms and models
    • Good communication and teamwork skills

    An AI software engineer's annual pay is $108,000. It can reach $150,000 based on specialization, experience, and sector.

    3. Big Data Engineer

    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

    • An acquaintance with Big Data technologies such as Hadoop, Spark, and NoSQL databases
    • Mastery of programming languages such as Python, Java, and Scala
    • Understanding of developing data processing pipelines
    • Knowledge of Machine Learning and Deep Learning algorithms and models
    • Excellent problem-solving, time management and communication skills

    In the United States, the average salary for a Big Data engineer is around $132,922 per year.

    4. Business Intelligence Professional

    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:

    • Understand BI tools and technologies such as Tableau, Power BI, and Qlik
    • Proficiency in SQL (Structured Query Language) and other data analysis tools
    • Experience in data visualization and reporting
    • Knowledge of Machine Learning and Deep Learning algorithms and models

    Business intelligence developers earn an average salary of $90,000, which can reach up to $130,000 with experience.

    5. Machine Learning Engineer

    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:

    • Strong knowledge of Machine Learning algorithms and models
    • Knowledge of programming languages such as Python, R, and MATLAB
    • Background in data preprocessing and feature engineering
    • Understanding of Deep Learning and reinforcement learning algorithms and models
    • Business Intelligence skills

    In the United States, the average salary for a machine learning engineer is $155,546.

    6. Deep Learning Engineer

    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:

    • Strong knowledge of Deep Learning algorithms and models
    • Programming skills such as Python, C, and MATLAB
    • Experience in data preprocessing and feature engineering
    • Knowledge of Machine Learning and Reinforcement Learning algorithms and models

    The average annual salary of a Deep Learning engineer in 2023 is $130,000 - $180,000  in the United States.

    How Much Do AI Engineers Make?

    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.

    What Factors Can Affect the Artificial Intelligence Industry Salaries?

    Several factors can affect the salary of different career paths for AI engineers. These include:

    Location

    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.

    Industry

    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.

    Experience

    Experienced AI engineers tend to earn more than entry-level AI engineers.

    Skills

    AI engineers with specialized skills such as Natural Language Processing, modeling, data visualization and computer vision earn more than those without specialized skills.

    AI Jobs Outlook

    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.

    Top Cities Across the Globe for Artificial Intelligence Jobs

    According to Indeed, the top cities across the globe for Artificial Intelligence Jobs are as follows:

    CityTop Job RolesAverage Salary in 2023
    San FranciscoAI Software Engineer, Machine Learning Engineer$168,362
    New YorkData Scientist, Big Data EngineerUSD 135,449
    TorontoAI Software Engineer, Data Scientist, Machine Learning EngineerCAD 172,067
    LondonAI Software Engineer, Data Scientist, Machine Learning EngineerEURO 67,398
    BangaloreAI Software Engineer, Machine Learning EngineerINR 900,000
    SydneyAI Software Engineer, Data Scientist, Machine Learning EngineerAUD 182,747

    How to Boost Your Artificial Intelligence Job Prospects?

    To pursue an AI engineer career and boost job prospects follow this route:

    1. Gain Relevant Skills

    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.

    2. Build a Portfolio

    Develop your own AI projects and showcase them on platforms like GitHub or Kaggle. It will demonstrate your skills and experience to potential employers.

    3. Network

    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.

    4. Take an Internship

    An internship allows you to gain practical experience and build relationships with professionals in the industry.

    5. Keep Learning

    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.

    Is a Career in AI Right for You??

    An AI engineer career can be rewarding and challenging. There are certain things to contemplate before seeking a career path as an AI engineer.

    1. Do you have an interest in this industry and its potential to change the world?
    2. Do you enjoy solving complex problems and finding innovative solutions?
    3. Do you have a strong foundation in math and statistics?
    4. Do you have programming skills or willing to comprehend how to code?
    5. Are you willing to constantly learn and stay up-to-date with the latest tendencies and technologies in AI?
    6. Do you have a passion for AI and its potential to change our lives for the better?

    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.

    Frequently Asked Questions (FAQs)

    1What is the career opportunity with AI?

    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.

    2Are AI engineers in high demand?

    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.

    3Does AI have scope in future?

    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.

    4Does Artificial Intelligence need coding?

    Yes, AI requires coding. AI engineers need to be proficient in basic programming languages such as Python, Java, Scala and C.

    Profile

    Ashish Gulati

    Data Science Expert

    Ashish is a techology consultant with 13+ years of experience and specializes in Data Science, the Python ecosystem and Django, DevOps and automation. He specializes in the design and delivery of key, impactful programs.

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