An impressive resume is like a bridge between you and your dream AI ML job. The Artificial Intelligence field is booming, and jobs for AI Ml professionals are in high demand.

Gone are the days when we used the same resume for every job we applied for. What are the latest hacks for making an impactful resume? How to make a long-lasting impression with your resume?  Make sure to read the article till the end to find answers to these questions.

Points to Keep in Mind While Creating an AI ML Resume

Creating a well-written resume includes showcasing your skills, expertise, and work experiences in a presentable or organized manner. Here are a few things to remember while creating a Machine learning resume.

A Crisp and Unique Bio

Your bio is the first impression you make on your recruiters. It’s a gist of your career journey so far. Your resume should highlight the most important experiences and technical skills of yours. 

Consider the Job Description

Now we know that many tech companies use ATS scanning machines to shortlist resumes. It’s highly essential to go through your resume and check whether you mentioned all the skillsets and certifications relevant to the job post. 

Go through the job description several times and align your resume accordingly. Find the essential terms and place them smartly. (don’t do keyword stuffing, it’s very unprofessional) Make changes to your CV per the job description.

This word cloud suggests the must-have terms and keywords in an AI ML Resume.

Source: Resume Worded

Format of your Resume

The reverse-chronological format is the most commonly used strategy for securing top-tier AI/ Machine Learning engineer positions. In this approach, you begin with your professional experience from the most recent organization you worked for. Most Java programmers use this layout because it is convenient.

Another type, known as a functional resume, excludes your industry experience. It highlights your skills and does not reveal your work history. If you’ve been unemployed for an extended period or changed careers, consider a functional resume structure.

Depending on your job experience in AI-ML, you may also develop a hybrid resume that combines chronological and functional information.

Provide a detailed timeline of your work experiences

You should add your work experience in reverse chronological order, starting with your most recent job. The work experience section of your resume is your chance to demonstrate how you could be a great candidate for the job post.

Highlight your soft skills like problem-solving ability and leadership using stats and data about your performance with an explanation of your contributions. Giving your potential employer these details will provide them with a clear picture of your qualifications and why they should hire you.

Highlighting the technical skills

Mention all the technical skills that are relevant to the applied job post. You can arrange these skills according to your expertise. Use bullet points to highlight these skills. Some of the must-have technical skills for AI ML jobs are as follows-

Apart from these, domain knowledge, rapid prototyping, and audio and video processing are some skills that may be beneficial depending on the job post you apply for.

Education background and Add ons

In today’s fast-paced world, it is important to consistently improve oneself and stay updated with the latest advancements in the industry. This section can be utilized to showcase your dedication to continuous learning.

In addition to your educational background and degree, include any completed certificates and courses related to Artificial Intelligence. Highlight any contributions you have made to open-source projects and provide a link to your Github profile and portfolio.

Furthermore, if you have participated in hackathons or coding competitions and have received any awards, leverage these accomplishments to your advantage. These achievements will distinguish you from other candidates.

Action Verbs and Proof-reading

It will look unprofessional if your resume is not formatted correctly and has flashy fonts and grammatical errors. Use a decent font for your resume. Re-read your resume several times before sending it to the recruiters. 

Another important aspect is using proper action verbs in the resume. Some of the suggested action verbs for AI ML jobs are as follows- 

Be honest and specific: 

Avoid using vague or generic language in your resume. Be honest about your skills and experiences, and provide specific examples to support your claims. Don’t try to trick ATS scanners with keyword stuffing or adding irrelevant or false information.


Crafting an AI and ML resume requires attention to detail while highlighting your technical skills and relevant experiences. By avoiding common mistakes and following the pro tips outlined in this article, you can create a resume that stands out to recruiters and AI screening systems. 

Remember to tailor your resume to each job application, use bullet points to highlight your achievements, and proofread your resume multiple times to ensure it is error-free. With these tips, you can create an engaging and effective Artificial intelligence and Machine learning resume that helps you land your dream job. So, start crafting your resume today and take the first step towards a successful career in AI and ML!