Build the perfect ML/NLP developer resume for 2022

Do you need assistance writing a professional resume for a machine learning or natural language processing developer job in the United States? Here is a guide from Turing experts to help you create the best ML/NLP developer resume for 2022.

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Do you want to work as a remote ML/NLP developer for a prominent US company? Then you already know how critical it is to have a solid resume to succeed in your field. A well-written resume could make all the difference in your job search for an ML/NLP developer. It gives the reader an excellent first impression and shows your relevant qualifications. A well-written ML/NLP developer resume may help you present yourself beautifully and impress technical recruiters, increasing your chances of landing your ideal job.

So, how do you write a resume for an ML/NLP developer that will get you the best jobs?

This post provides a step-by-step guide from Turing experts on creating a cutting-edge resume for ML/NLP engineers. Build your ML/NLP developer resume by including the details mentioned.

1. Make a fantastic bio

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The initial section of an ML/NLP developer resume is quite significant. Begin with an intriguing 'About Me' section; keep this bio brief and to the point to create a hook that will entice the reader to read on. Add your name and contact information to make it easier for the recruiter to contact you.

Include skill-based keywords in your ML/NLP developer resume. When summarising your professional skills, a few keywords should be included in your bio.

2. Tell your story to recruiters

Recruiters, like the rest of us, enjoy reading stories. One of the most effective ways to spark recruiters' interest in you as an ML/NLP developer is to use your unique career story as a hook. Don't prepare your ML/NLP developer resume in a typical way if you want to make a great first impression. Make sure to present your journey in the form of a story to show off your individuality.

3. Start with a strong headline

It makes a huge difference in your first impression if you start your ML/NLP developer resume with a catchy title and a good introduction. In your job title, provide your years of experience, such as "Senior ML/NLP developer with 6 years of experience."

A more personalized headline for the job role will gain special attention. Since each company has its own view of the ideal candidate for the job opportunity, make each application's headline as unique as possible.

4. Choose a format for your ML/NLP developer resume

A vital element of the process is deciding on the best resume format. Every professional position has a set of critical goals to achieve. It will be really beneficial if you can highlight them as strengths in your ML/NLP developer resume. Your resume can be formatted in either a reverse chronological or functional format.

If you choose a reverse-chronological structure, start with your most recent position and work your way backward.

If you choose a functional format, start with your skills rather than your years of experience and show the way through your responsibilities in functional order.

5. Include a timeline of your career

Including a career timeline in your ML/NLP developer resume would be a good idea. The reader will better understand your job history and how you became an industry specialist. This can be the focus of your resume, providing a summary of your professional experience and technical skills. Also, mention key events or noteworthy achievements that have helped you advance your career.

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6. Make a list of your machine learning and natural language processing development skills

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Every job necessitates a specific set of skills; some are required, while others make you stand out. In your resume, list your primary ML/NLP developer skills and explain how they've helped you achieve your career goals.

When summarising your skills, include a few paragraphs explaining how each of your skills assisted your previous employers or clients in making sound business decisions. Make your ML/NLP developer resume more dynamic and interesting by including appealing icons for each skill.

Make a list of your skills or break them into primary and secondary categories if you're not sure where to begin. This will draw attention to your areas of experience and allow a recruiter to analyze your qualifications for ML/NLP developer positions quickly.

Your ML/NLP developer resume should include industry-standard skills to persuade employers of your abilities. Recruiters look for the following qualities in ML/NLP developers.

Primary skills (Technical)

  • Machine learning algorithms
  • Modeling and evaluation of data
  • Neural networks
  • Processing of natural language
  • Statistics and probability
  • Linguistic expertise

Secondary skills (design and web performance-related)

  • Visual editing
  • UI/UX design
  • GIT/Version control
  • Wireframing
  • Debugging

7. Include information about your educational background

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In addition to your professional skills, recruiters want to know about your academic qualifications. Even if it isn't always the determining factor, it says how you've been shaped as a person. Your school, college, university, and grades should all be listed. You should also list any certificates you have.

This should be written in such a way that the reader is able to observe your progression from student to professional.

8. Include numbers to measure your skills

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Numbers are crucial in the business sector. They can increase the number of interviews you get by showing your capacity to quantify qualitative work. To present your value, highlight your years of experience working with clients or companies, as well as your numerical skills, on your ML/NLP developer resume.

Your achievements and side projects should also be mentioned; this information adds value to your resume and increases your chances of being hired. Also, keep in mind that your ML/NLP developer resume should be short and crisp.

9. Include keywords and double-check grammatical errors

As you may know, English is the most commonly spoken language on the planet. You'll need to be fluent in English to secure the best ML/NLP development jobs in the US. Also, double-check your resume for grammatical problems.

You should incorporate skill-oriented keywords in addition to appropriate grammar. This greatly influences the reader, and it enables resume sorting software to capture your resume for more opportunities.

Here's a basic list of terms related to machine learning and natural language processing that you can use in your ML/NLP developer resume.

Problem-solving Programming Creating Designed Planning Executing Update Integration Coding Bootstrapping Documenting

10. Incorporate a brief video introduction

This is a one-of-a-kind and fashionable way to introduce yourself. Incorporate a small video introducing yourself as a professional into your ML/NLP developer resume. In less than a minute, summarise your professional skills and experiences. A video can quickly grab recruiters' attention to the key areas you want to highlight.

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Frequently Asked Questions

Working for top US and Silicon Valley companies as a remote ML/NLP developer pays significantly more than working for local companies. A good income is always a perk while working for a remote company.

To begin with, ML/NLP understanding is unquestionably necessary for an ML/NLP developer. In addition, knowledge of machine learning algorithms, data modeling and assessment, neural networks, natural language processing, probability, and statistics, as well as linguistic knowledge, is necessary.

Compared to other career titles such as Java/C# developers, ML/NLP developers are among the most in-demand and earn better compensation. The competition has also increased as a result of the attractive pay. As a result, you'll need to sharpen your talents to stay ahead of the game.

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