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Artificial Intelligence Skills: Example Usage on Resumes, Skill Set & Top Keywords in 2024

Including artificial intelligence on your resume signals to recruiters that you possess a skill set grounded in innovation and analytical thinking. Dive into our guide below for insightful ways to polish your resume with AI expertise and alternative skill phrases.

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Artificial intelligence, often known as AI, is the capacity for machines to think and learn like humans do. Having the skill to work with AI involves understanding how to design, program, or use computer systems that can perform tasks that typically require human intelligence. This includes things like problem solving, recognizing speech, and making decisions. Adding AI expertise to your resume can make you stand out as a candidate who's able to work with cutting-edge technologies and solve complex problems with innovative solutions.

However, listing artificial intelligence on your resume can have its drawbacks. For example, without clear examples of how you've used AI, this claim might seem vague or unsubstantiated to employers. They may be looking for specific AI-related skills, such as machine learning or natural language processing, rather than a broad term. Instead, it might be more effective to detail certain projects or roles where you've applied AI technology successfully. This shows potential employers exactly how your knowledge of AI can be applied in a practical work environment.

In this article, you will learn:

  • The potential drawbacks of adding "artificial intelligence" to your resume and how to address them.
  • How to more effectively showcase your AI skills to attract employer attention.
  • Alternative terms and phrases that can replace "artificial intelligence" to avoid repetition or vagueness.

Misusage of artificial intelligence on resumes

Artificial intelligence is a powerful tool, but when misrepresented on a resume, it can lead to confusion and undermine your credibility. A clear understanding of your actual skills and experiences with AI is crucial in presenting yourself accurately and professionally.

Summary Section Misuse:

  • Claiming to be an AI expert after completing just a basic online course.

Experience Section Misuse:

  • Listing AI project management when you only observed a team but didn't contribute.

Achievements Section Misuse:

  • Citing a significant AI-related revenue increase without being directly involved in the relevant projects or strategies.

How to demonstrate artificial intelligence skills on your resume

  • List relevant coursework or projects that involve artificial intelligence and machine learning, highlighting your hands-on experience.
  • Include specific programming languages or technologies you've worked with, such as Python, TensorFlow, or PyTorch.
  • Detail any AI-related research or publications you've contributed to, demonstrating your expertise in the field.
  • Showcase successful AI projects you've completed, mentioning the results and the impact they had.
  • Highlight your problem-solving skills by describing complex AI challenges you've overcome and the strategies you used.

Example 1: Demonstrate artificial intelligence in the experience section

Data Analyst
TechCorp Solutions
San Francisco, CA
  • Streamlined data collection and analysis processes, leading to a 15% decrease in operational costs over two years.
  • Managed a project that integrated machine learning for predictive analysis, increasing forecast accuracy by 20%.
  • Spearheaded the automation of reporting systems using AI tools, reducing report generation time by 40%.
AI Research Assistant
University Innovation Lab
Boston, MA
  • Collaborated on a team that developed a neural network model for image recognition, achieving a 95% accuracy rate.
  • Contributed to research in NLP, helping to improve chatbot comprehension by 30%, which improved user engagement.
  • Authored a paper on the ethical implications of AI that was published in a notable scientific journal.
Machine Learning Engineer
Innovatech Enterprises
New York, NY
  • Designed and implemented a recommendation system that increased user retention by 25%.
  • Deployed machine learning algorithms to automate fraud detection, catching 22% more fraudulent activity yearly.
  • Led the initiative to integrate AI-driven analytics into the company's main product line, resulting in a 35% boost in customer satisfaction.
  • This work experience section demonstrates engaging with AI by listing specific achievements and how they benefit business goals.
  • Quantifiable results, such as percentage improvements, give concrete evidence of your skills and their impact.
  • Varying the type of contribution in each bullet point shows a wide range of abilities and situations where AI was applied.
  • Including prestigious projects and significant contributions, like publishing papers, displays both practical and theoretical knowledge.
  • The descriptions are free from jargon and buzzwords, making them accessible to readers unfamiliar with the industry.
  • Keeping bullet points substantive and factual assures that each sentence contributes value to the overall message.
  • Using direct language and avoiding fluff keeps the content clear and to the point, which is respectful of the reader's time.

Example 2: Demonstrate artificial intelligence in the summary section

With over a decade of experience in software development, I bring a proven track record of successful project completions and a genuine passion for technology to drive advancements. My expertise covers a wide spectrum of programming languages such as Python and Java, with a significant achievement in leading the deployment of a multi-platform integration that improved system efficiency by 40%. My commitment is to continuously improve and contribute valuably to technological progress.
  • A detailed summary showcases your years of experience and proven success in the field, giving potential employers clear insight into your background.
  • Listing your technical skills, such as proficiency in specific programming languages, demonstrates your capability to handle job-related tasks effectively.
  • Highlighting a major career accomplishment gives evidence of your ability to lead and execute significant projects, making you a more attractive candidate.
  • Expressing a passion for technology and commitment to professional development suggests that you are a motivated individual eager to contribute positively in a dynamic work environment.
  • Writing in a direct, no-fluff manner ensures that every word on your resume is meaningful and contributes to an employer's understanding of your qualifications.

Example 3: Demonstrate artificial intelligence in the achievements section

Streamlined Project Workflow
Coordinated cross-departmental teams to reduce project completion time by 20%, delivering all projects on or ahead of schedule over a 6-month period.
Increased Sales Revenue
Implemented new sales strategy, which led to a 35% increase in sales revenue within the first quarter, marking the highest growth period in the company's recent history.
Enhanced Customer Satisfaction
Developed a customer feedback system that boosted customer satisfaction ratings by 50% through proactive engagement and rapid resolution of issues.
  • Provides clear and concise descriptions of achievements.
  • Incorporates specific percentages to show measurable impact.
  • Focuses on real-world situations and results.
  • Communicates the applicant's contributions to team and company success.
  • Uses simple language to make information accessible.
  • Doesn't rely on overused industry jargon or buzzwords.
  • Titles are brief and to the point, while descriptions offer enough detail.
  • Demonstrates improvement and skills through practical examples.

What are the relevant certifications for artificial intelligence skills on resume

If you are looking to showcase your AI expertise, there are several certifications that can bolster your resume:

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The top 5 certifications for gaining artificial intelligence skills expertise:

  • Certified Artificial Intelligence Professional (CAIP) - Artificial Intelligence Board of America (ARTiBA): This certification focuses on the foundational aspects of AI, including machine learning, neural networks, and deep learning. It's ideal for professionals seeking to validate their AI knowledge.
  • Professional Certificate in Machine Learning and Artificial Intelligence - Massachusetts Institute of Technology (MIT): Developed by MIT faculty, this program covers machine learning algorithms, data analysis techniques, and system design strategies to solve real-world problems.
  • AI For Everyone (AIFE) - Coursera: Offered by Andrew Ng, the co-founder of Coursera, this non-technical course provides an overview of AI and its business applications, serving as a solid start for those looking to understand the impact of AI on various industries.
  • NVIDIA Deep Learning Institute (DLI) Certifications - NVIDIA: These certifications are aimed at individuals interested in developing skills in AI, accelerated computing, and data science, with a focus on practical applications and hands-on experience using NVIDIA’s software.
  • Data Science and Machine Learning Bootcamp with R (DSMLBR) - Udemy: This is a practical bootcamp designed to teach machine learning and data science with the R programming language, preparing participants to apply these skills in data-driven decision making.
  • Top skills people add together with artificial intelligence skill on resume:

    Machine Learning

    Data Science

    Python Programming

    Natural Language Processing

    Computer Vision

    Neural Networks

    Deep Learning

    Predictive Analytics

    Algorithm Development

    Big Data Analytics


    Problem Solving

    Critical Thinking





    Project Management

    Attention to Detail


    Time Management


    Most relevant jobs for artificial intelligence skills

    Artificial intelligence (AI) has become integral to various industries, creating demand for professionals skilled in this technology. AI roles span a range of industries and responsibilities, from designing algorithms to analyzing data. Individuals with AI skills are essential for driving innovation, improving products and services, and helping organizations make data-driven decisions. Careers in AI often require a solid understanding of machine learning, data analytics, and software development, combined with problem-solving capabilities and creativity.

    • Machine learning engineer
    • Data scientist
    • AI research scientist
    • Computer vision engineer
    • Natural language processing engineer
    • Robotics engineer
    • Business intelligence developer
    • AI software developer
    • Algorithm engineer
    • AI data analyst

    Key takeaways

    • Artificial intelligence skills showcase your ability to engage with emerging technologies.
    • Adding AI proficiency to your resume can differentiate you as a forward-thinking candidate.
    • Avoid using AI jargon incorrectly to maintain credibility.
    • Gain practical experience with AI to honestly reflect your capabilities.
    • Highlight specific AI projects and results to illustrate your expertise.
    • Use clear language to describe your AI competencies and how they have impacted past roles.
    Make your move!
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    Volen Vulkov
    Volen Vulkov is a resume expert and the co-founder of Enhancv. He applies his deep knowledge and experience to write about a career change, development, and how to stand out in the job application process.