How to Include AI Skills on Your Resume [W/ Tips & Examples]

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How to Include AI Skills on Your Resume [W/ Tips & Examples]

With the rise of artificial intelligence (AI), employers everywhere have been looking for candidates who know their way around AI tools and technologies.

Whether automating monotonous tasks or creating data-driven strategies, AI is reshaping how businesses operate, and companies are increasingly valuing employees who can handle the challenges that come with such changes.

So what does this mean for your job search?

How can you showcase your AI expertise to stand out from competitors and land your next big opportunity?

Whether you’re just starting to explore AI tools at work or are already a seasoned pro, knowing how to include AI skills on your resume can make a huge difference.

In this guide, we’ll show you exactly how to highlight your AI experience and make your resume irresistible to recruiters!

Here's what we're going to cover:

  • What Are AI Skills and Why Do You Need Them on Your Resume?
  • Where to Highlight AI Skills on Your Resume?
  • How Do You Choose the Right AI Skills to Include on Your Resume?
  • Top AI Skills to Add to Your Resume

And much more…let’s dive in!

Want to make a resume that highlights your AI skills? Use one of our templates!

Each template is designed to impress hiring managers and help you land your dream job.

What Are AI Skills and Why Do You Need Them on Your Resume?

AI skills are abilities related to artificial intelligence, such as machine learning, data analysis, natural language processing, or working with AI tools and platforms. These skills show how effectively you can use technology to solve problems, improve processes, or drive innovation in your field.

Here’s why you should highlight AI skills on your resume:

  • They’re in high demand.As various industries embrace AI, professionals with relevant expertise are becoming indispensable.
  • They showcase your adaptability.AI skills allow you to optimize business processes, improve customer experiences, and tackle workplace challenges using modern tools.
  • They can future-proof your career.With 90% of employers predicting AI adoption by 2028, according toAmazon AWS report, having these skills demonstrates your readiness to meet evolving demands.
  • They highlight versatility.Whether you’re creating content, developing AI applications, or streamlining workflows, these skills open doors across industries.
  • They help you stay ahead of trends.Employers value candidates who embrace emerging technologies and bring innovative solutions to the table.

Take a look at thesetop resume hacksto help you create a resume that will attract the attention of hiring managers and help you land that dream job!

Where to Highlight AI Skills on Your Resume?

Knowing how to showcase your AI expertise on your resume can seriously help youland your next job.

By strategically placing these skills in key sections, you will emphasize your technical capabilities and highlight the impact of your AI knowledge through specific achievements, tools, and projects.

Here’s a breakdown of where and how to include your AI skills for maximum effect.

#1. Resume Summary or Objective

First things first – you want your AI skills to grab the hiring manager’s attention from the get-go.

Well, a resume summary or objective is your best chance to do that. Placed at the top of your resume, they are a great way to show what AI skills you bring to the table right off the bat.

Here’s a quick breakdown of how they differ:

  • A resume summaryis a three-to-four-sentence paragraph that highlights your key qualifications and achievements. It’s ideal for seasoned professionals with years of experience and job-related achievements in their pockets.
  • A resume objectiveis a forward-looking statement that emphasizes your career goals. It’s best for career changers or those entering the workforce, showcasing what you aim to achieve in the role.

Start by mentioning your years of experience or educational background in AI-related fields. Highlight specific tools, programming languages (e.g., Python, TensorFlow, or R), or methodologies you’ve mastered.

Additionally, include one or two notable achievements—such as developing predictive models, automating workflows, or analyzing large datasets—that show how you’ve used AI to drive results.

Here’s an example of a well-written summary:

Resume Summary Example:

Results-driven AI professional with 3+ years of experience developing machine learning models and deploying AI-driven solutions. Proficient in Python, TensorFlow, and scikit-learn, with a strong background in data analysis and natural language processing. Successfully developed predictive models that improved decision-making accuracy by 25% and automated data workflows to reduce processing time by 30%. Passionate about leveraging AI to solve complex business problems and enhance operational efficiency.

Keep it concise but data-driven, ensuring your AI expertise aligns with the job description to stand out to hiring managers.

#2. Skills Section

Another great place to mention your AI skills organically is your resume’sskills section.

Here, you can either create a specific “AI Skills” category or incorporate them under “Hard Skills”. This section provides an excellent opportunity to highlight the tools, languages, and technologies you are proficient in.

Additionally, make sure to tailor this section by reviewing job descriptions and incorporating relevant keywords. This helps your resume pass throughapplicant tracking systems (ATS)and increases the chances ofgetting noticed by recruiters.

To make this section stand out:

  • List specific AI tools and technologies:Include anything from machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn, to AI-powered tools and software like natural language processing (NLP) applications, automation tools, and data analysis programs.
  • Mention programming languages:If you are skilled in common AI languages, such as Python, R, or Java, this is the place to showcase them.
  • Highlight software or tools related to your AI experience:Examples might include AI-driven business analytics tools, predictive analytics, or cloud-based AI platforms like AWS or Google Cloud AI.
  • Use bullet points for clarity:Presenting your skills in a bulleted list ensures readability and makes it easy for recruiters to scan.

Here’s an example of a skills section:

#3. Work Experience Section

Thework experience sectionis key to showing how you’ve applied AI to a professional setting and what you’ve achieved.

Integrate your AI skills and how you’ve applied them into your work experience bullet points to do this effectively. Start each bullet point with an action verb to make your work experience more impactful.

Here are somestrong action verbsyou might use:

Action verbs:
  • Developed
  • Implemented
  • Optimized
  • Automated
  • Improved
  • Designed
  • Enhanced
  • Engineered
  • Deployed
  • Streamlined

Focus on the AI tools, technologies, or processes you worked with, such as machine learning models, data analysis, automation systems, or predictive analytics.

And if you want to take your work experience from great toawesome, include facts, figures, and metrics wherever possible to prove the impact of your AI skills.

Take a look at the example of a work section entry for adata scientist:

Work experience section example:

Data Scientist
XYZ Corp.
June 2021 – Present

  • Developed and deployed machine learning models using Python, TensorFlow, and scikit-learn to predict customer behavior, resulting in a 20% increase in targeted marketing effectiveness.
  • Implemented automated data pipelines to streamline data collection and processing, reducing time spent on data preprocessing by 40%.
  • Optimized predictive analytics algorithms, improving model accuracy from 85% to 92% by fine-tuning hyperparameters and integrating additional data sources.
  • Engineered data visualizations using Tableau to present actionable insights to stakeholders, facilitating data-driven decision-making.
  • Improved data-driven business strategies by analyzing large datasets and providing key insights, directly contributing to a 15% revenue growth in the first quarter.

What if I Don’t Have Work Experience?

If youhave no professional experienceyet, showing off your AI skills on your resume can feel challenging.

However, a lack of experience doesn’t have to mean that you lack AI skills. There are plenty of other ways to showcase them on your resume, including:

Let’s take a look at an example of a volunteering section that lets you list your AI skills even if you don’t have work experience:

Volunteer experience example:

AI Volunteer
Data for Good
03/2023 – Present

  • Developed predictive models to help non-profit organizations forecast trends and make data-driven decisions.
  • Used Python and TensorFlow to automate data processing tasks, improving efficiency by 30%.
  • Conducted workshops to teach basic AI concepts to team members, increasing their technical capabilities.

What if I Want to Change Careers?

Artificial Intelligence is a relatively new field, which means you canlikelychange careersand get into AI even if you don't have direct AI experience.

The way to do it? Transferable skills!

Highlight transferable skills from your education and other tech-related experiences – you’ve likely developed AI skills that can easily translate into field-related responsibilities and achievements, even if they’re not AI-specific.

Emphasize how you can apply those AI skills to tasks to convince employers that you have the potential to thrive in the field, even without formal AI work experience.

Here are sometransferable skillsto include:

  • Analytical thinking.Skills in breaking down problems and analyzing data are crucial for AI-related tasks like data processing or predictive modeling.
  • Programming.Familiarity with coding languages such as Python, R, or Java, even if not used for AI, can be a strong foundation for machine learning and data analysis.
  • Data handling.Experience in working with large datasets, data cleaning, or using data tools can directly transfer to AI work, especially in areas like machine learning.
  • Project management.Organizing and managing projects shows your ability to work on AI initiatives from start to finish, even if the project isn't AI-focused.
  • Problem-solving.The ability to tackle complex problems is key in AI development and application.
  • Research and development.A background in conducting research or testing ideas is valuable, as it mirrors the process of testing AI models or algorithms.

#4. Education Section

If you have a degree in an AI-related field, that's great— you shoulddefinitelyhighlight that on your resume! Simply list your degree, the institution, and the graduation date.

For recent graduates with limited work experience, it would help to include a few relevant AI-specific courses in your education section to showcase your knowledge.

Here’s an example.

Education Section Example:

Bachelor of Science in Artificial Intelligence
University of ABC
Graduated May 2023

  • Machine Learning
  • Neural Networks and Deep Learning
  • Data Science and Analytics

#5. Projects and Certifications

The projects andcertifications sectionsallow you to demonstrate how you’ve applied AI to real-world challenges and delivered impactful results.

Describe each project, focusing on the specific AI tools or methods you used and the outcomes you achieved. Quantify your results where possible to highlight the impact of your work.

In addition, mention any certifications you’ve obtained from recognized platforms like Coursera, Udacity, or Google to demonstrate your commitment to staying updated and enhance your credibility, especially if you're light on hands-on work experience.

Tolist AI certificationsand training right, follow these steps:

  1. Create a dedicated “Certifications” or “Professional Development” section.
  2. Include the name of the certification or training program.
  3. Specify the issuing institution or organization.
  4. Indicate the completion date, including the month and year.

This is how it usually looks:

Certifications Section Example:
  • Machine Learning Specialization
    Coursera | 09/2023
    Completed a comprehensive program covering supervised and unsupervised learning, including neural networks and practical Python-based implementation.
  • Deep Learning Nanodegree
    Udacity | 06/2023
    Gained hands-on experience with deep learning techniques, including CNNs and RNNs, and deployed models in real-world applications.
  • AI for Everyone
    Coursera (DeepLearning.AI) | 04/2023
    Learned the fundamentals of AI, its applications, and its societal implications, providing a strong foundational understanding of AI concepts.
Browse Templates

How Do I Include the Right AI Skills in My Resume?

When deciding which AI skills to include on your resume, let the job ad requirements guide you. This approach ensures that your resume stands out to hiring managersandapplicant tracking systems (ATS), which scan resumes for relevant keywords.

To begin, review the job description carefully and identify the AI skills it mentions. Then,weave these keywordsinto your resume organically to increase the likelihood of ATS flagging your resume as a strong match.

To show you how to manage this, let’s first take a look at an example of a job ad for aresearch assistant:

Job Ad Example:

Research Assistant – AI & Data Science
We are seeking a motivatedResearch Assistantwith experience inAI algorithms, data analysis, and machine learningto support ongoing research in AI and data science. The ideal candidate should have proficiency inPython, R, and SQL. Experience with data preprocessing, statistical modeling, andAI-based researchis required. Strong communication skills and the ability to collaborate with interdisciplinary teams are essential.

And here’s how you can wave these keywords in:

Resume Entry Example:

Research Assistant – AI & Data Science
XYZ University

09/2021 – Present

  • SupportedAI-based researchby developingmachine learning algorithmsand conductingdata analysisfor various academic projects.
  • UtilizedPythonandRto preprocess large datasets, ensuring clean and usable data for model development.
  • Collaborated with faculty and research teams to implementstatistical modelingtechniques, enhancing the accuracy of research predictions by 10%.
  • Conducteddata preprocessingand feature engineering to optimize machine learning model performance for research publications.

Contributed to research papers, presenting findings onAI algorithmsand their impact on data science applications, with co-authorship in two published studies.

Your resume needs to make it through the ATS before it can land on a hiring manager’s desk. These16 ATS-friendly templatescan ensure your resume will get to the hands of a hiring manager!

30 Top AI Skills to Add to Your Resume

With AI evolving so fast, it’s important to keep up with the latest trends and skills.

Below are the top AI skills that employers look for and can help your resume stand out:

Top AI Skills for 2025
  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Data Analysis
  • AI Algorithms
  • Computer Vision
  • Neural Networks
  • Python
  • R Programming
  • TensorFlow
  • Keras
  • Data Preprocessing
  • Reinforcement Learning
  • Cloud AI Services (e.g., Google Cloud AI, AWS AI)
  • AI Ethics
  • AI Model Deployment
  • Big Data Technologies (e.g., Hadoop, Spark)
  • Robotic Process Automation (RPA)
  • Time Series Forecasting
  • Feature Engineering
  • AI-driven Automation
  • Recommender Systems
  • Data Visualization (e.g., Tableau, Power BI)
  • Sentiment Analysis
  • Speech Recognition
  • Generative Adversarial Networks (GANs)
  • Natural Language Processing (NLP)
  • Neural Networks
  • Cloud AI Services (e.g., AWS, Azure AI, Google AI)
  • Computer Vision

Remember that computer skills are tightly related to AI. Read our article to find out more about them andhow to list them on your resume!

Let AI Help You

If you want to showcase your AI experience, why not use AI itself to help you?

You can improve orcreate your resume with ChatGPT– an AI model trained to follow your instructions through prompts. It can help you write personalized resume entries, suggest important keywords, analyze job ads and requirements, reveal industry trends, and refine how you present your work experience.

Whether you're highlighting expertise in machine learning, natural language processing, or automation, ChatGPT can help you communicate your skills clearly and compellingly.

Let us show you how you can use ChatGPT to write or optimize a resume for agraphic designer.

First, you have to give ChatGPT a prompt. Here’s how it might look:

ChatGPT Prompt:
  • "I am a graphic designer with 3 years of experience specializing in digital design and branding. I want to craft a strong resume entry for my work at ABC Agency, where I created visual concepts and branding materials for clients. Please help me create a concise, impactful bullet point that highlights my design skills, including proficiency in Adobe Creative Suite, UX/UI design, and branding. Include measurable outcomes to demonstrate the impact of my work on the client's branding and business."

And this is the output:

Interested in leveraging AI in your job search? Take a look at these25 ChatGPT resume promptsthat can help you get that job!

Key Takeaways

And you came to the end of our article!

By now, you’ve probably learned how to include AI skills on your resume.

But, before you go, let’s do a quick recap of what we’ve cornered today:

  • AI skills are in high demand, so highlighting expertise in AI technologies like machine learning, NLP, and data analysis can make your resume stand out to employers across industries.
  • Strategically placing AI skills in your resume summary, skills section, work experience, education, and projects can emphasize your technical expertise.
  • Always show measurable impact through metrics and action verbs to demonstrate how you've applied AI in previous roles to improve processes or achieve results.
  • Tailor your resume to match the specific AI skills mentioned in the job description to increase your chances of passing through the ATS.
  • If you don’t have experience, highlight transferable skills like programming, problem-solving, and data analysis to showcase your potential in AI-related tasks.
  • Top AI skills include skills like Python, machine learning, TensorFlow, data analysis, and AI ethics, and they should be prioritized based on the job requirements.