How to build a strong AI Resume: A complete guide — Skills, Tips, Formate & Sample

In today’s competitive world, when the companies are pressing hard to find talented people, it has become very important to stand out in the crowd to show what qualities you possess. One way to do this is through a resume as it is the first thing through which a hiring manager will search for talent and we all are aware of stringent rules of eliminating candidates by just looking at resumes. So, it is very important to design your resume in the simplest yet most articulate manner, containing all the details in accordance with the job profile you are applying for. For a machine learning job profile, most companies look for a candidate with diverse talent starting from basics to high-level coding ability and machine learning skills so that a candidate can work on varied projects.

This article will focus on various topics that focus on how to build a strong machine learning resume. Following is the list of sub-topics that will help you build an impressive machine learning resume,

1. General Tips
2. Must have skills for an AI resume
3. Non-Tech skills for AI resume
4. Employers point of view
5. Machine learning resume
6. Resume samples

So, let us explore each of the sub-topics in detail to build a skill-oriented and impressive machine learning resume.

1. General Tips

Formatting of the resume plays an important role, specifically, when you can’t experiment much with the format and want to keep it simple but also want to make it stand out. In such a case, the following tips will be useful,

a. Keep it simple — We all get creative while trying to make our resumes eye-catching. But the core ideal of resume building is to keep it as simple as possible by using basic fonts that are pleasing to eyes with font size around 10–12. You can play with different fonts and text sizes for differentiating. Do not fill every part of your resume as it may look too clumsy and try to use simple vocabulary with short sentences. Try to confine your resume to one or two pages but with relevant information.