Click here to directly go to the complete Machine Learning resume sample.

Knowing how to use the right algorithm will not get you your dream ML job.

As a machine learning professional you have to write an exceptional resume.

If you think that writing code and building predictive models with perfection will get you your dream job as a machine learning engineer, you need to dig deeper.

In today’s world, you cannot win in the job market if all you have are your skills to your name. You need to know how to impressively endorse your machine learning skills in a resume.

In this blog, you will learn the art of fashioning irresistibly impactful machine learning resumes that will get you the shortlist that you want.

Here’s a summary of what you will learn in our Machine Learning Resume Blog:

  • If you are a certified machine learning professional ensure that you add the details.
  • Make sure to briefly mention your projects and your contribution.
  • One-liner points under a suitable heading are the right way to describe your work experience.
  • Use the reverse-chronological format to list down all your information and details
  • Write a summary of your resume by including main points that reflect your contribution.
  • Make sure to add links to your GitHub, Kaggle, LinkedIn, or any professional website.

If you are not getting shortlisted for your dream job, know that it is because your artificial intelligence resume is not getting parsed by the applicant tracking system. (More on this later).

By the end of this Machine Learning Blog, you will learn:

. . . All so you can get your dream machine learning job!

In the meanwhile, you can simplify your resume writing endeavor using Hiration's Online Resume Builder.

It is filled with 100+ content templates and 25+ resume templates that you can personalize to suit your needs and requirements.

What is a Machine Learning Resume & Why Do You Need It?

A machine learning resume is a resume that is tailored for Machine Learning professionals.

  • Every aspiring Machine Learning Engineer is expected to have an artificial intelligence resume.
  • Without the best machine learning resume, you cannot get shortlisted for the ML job that you want.

In this highly digitalized world, where almost everything has shifted to a digital platform, it is the need of the day to have a professional digital identity.

The future of machine learning looks encouraging as per the given data:

Machine-Learning-Statistics

SOURCE: Grand View Research

Given the challenges of the time, an average machine learning developer resume is not going to make the cut for you.

What you need is a machine learning engineer resume that is highly intriguing and effective.

It should be correctly structured to suit the needs of the ATS system.

  • The ATS or applicant tracking system is a recruitment tool that is used by major companies today to streamline their hiring needs.
  • The ATS ranks your resume, and your ranking in the ATS determines if you will get shortlisted or not.
  • The higher you rank in the ATS system, the higher are your chances of getting shortlisted for your dream job.
  • Your goal here is to write an ATS-targeted machine learning resume.

Here’s the best part: you will learn all about writing an ATS-targeted machine learning resume in this blog.

Machine Learning Resume Sample

Before we begin, here's our machine learning resume sample to learn what your ideal machine learning engineer resume should ideally look like:

JASON BLOSSOM
Senior Machine Learning Engineer
SUMMARY
9+ years experienced ML Engineer with proven success in building successful algorithms & predictive models for different industries. Highly adept at clustering & classification, web scraping, data analysis & visualization to increase business efficiency. Passionate engineer & thriving analyst with the ability to apply ML techniques & algorithm development to solve real-world business problems.
KEY SKILLS
• Data Visualization • Predictive Analysis • Statistical Modeling • Training & Mentoring • Clustering & Classification
• Data Analytics • Data Mining • Quantitative Analysis • Web Scraping • ML Algorithms • Model Development
TECHNICAL SKILLS
  • Tools: Python, PostgreSQL, AWS, Hive, MongoDB, MapReduce, Spark, Linux
  • Packages: Scikit-Learn, NumPy, SciPy, Pandas, NLTK, BeautifulSoup, Matplotlib, Statsmodels, Jupyter Notebook
  • Statistics/Machine Learning: Statistical Analysis, Linear/Logistic Regression, Clustering, Graph Theory, Regularisations
PROFESSIONAL EXPERIENCE
Senior Machine Learning Engineer
XS Capital Inc.
Start typing, then use the up and down arrows to select an option from the list
    XS Capital is a leading financial & data science consultancy firm with 20+ offices in USA, Europe & Australia
    Web Scraping, Data Visualization & Regression Modeling
    • Compiled pricing data for competitive analysis by performing web scraping in Python
    • Supervised model development, testing & validation of 100+ financial products and services
    • Created charts in Jupyter Notebook to perform preliminary analysis & visualize data using Matplotlib
    Predictive Modeling & Algorithm Development
    • Predicted stock price with 98% accuracy to enable the company to make informed investments
    • Determined optimal pricing strategies to facilitate the management of funds & achieve revenue goals
    • Made multiple touch-sensitive ML systems in all the office floors to improve the company's safety networks
    • Devised high-performance ML systems to detect abnormality, intrusion, fraud, masquerading, malware, etc.
    • Developed an algorithm to understand customer behavior leading to 95% success in targeted marketing campaigns
    Clustering & Classification
    • Conceptualized & implemented a sentiment analysis tool to rate the financial competence of companies
    • Originated a recommendation engine to suggest an ideal cluster price for financial services offered by top companies
    Leadership, Mentoring & Program Innovation
    • Led a group of 10+ML Interns in producing a workable model to optimize the company's financial transactions
    • Recruited & trained 5+ ML interns and supervised the project that were assigned to them as part of the internship
    • Conducted 5+ ML workshop programs on the fundamentals of Python & machine learning to up-skill current employees
    Machine Learning Engineer
    Queen Resorts
    Start typing, then use the up and down arrows to select an option from the list
      Queen Resorts is a leading chain in USA for luxury hotels & resorts with 100+ hotels & resorts all over the world
      Algorithm Development & Dynamic Pricing
      • Engineered a food recommendation system to provide meaningful food recommendations to guests
      • Designed an in-house algorithm for attendance & time management to simplify the hotel's administration work
      • Applied various machine learning techniques by deploying Python to build dynamic pricing models and maximize profits
      Predictive Modeling & Data Mining
      • Built a predictive model to analyze customer food preferences leading to 40% reduction in food wastage
      • Employed advanced text mining algorithms to facilitate the identification of search intent latent in individual keywords
      EDUCATION
      UC Berkeley
      B. Sc. - Statistics
      Start typing, then use the up and down arrows to select an option from the list
        The University of California, Berkeley is the top public university in the United States with over 1k undergraduate students
        • CGPA: 3.6/4.0
        CERTIFICATIONS
        • Machine Learning Certification | Coursera | May '10 - Jul '10
        • Python Certification Training | Coursera | Jan '09 - Mar '09
        ADDITIONAL INFORMATION
        • Languages: English, Spanish

        The given ml learning resume sample has been created from our Online Resume Builder.

        Go ahead and create & download your machine learning resume pdf!

        Machine Learning Job Description for Resume

        The machine learning job description given out by recruiters should always be scanned properly.

        You need to understand what the organization and the recruiters are looking for in an applicant.

        Does the prospect of designing automated cars excite you?

        Do you want to change the world by potentially building cancer-detecting algorithms to help detect and cure cancer - once and for all?

        Do you write codes like it is the only thing you know?

        If your answer to the above questions is yes, then it looks like machine learning is the profession for you.

        Here is a list of some common machine learning resume skills that you are expected to possess as a Machine Learning Professional:

        • Data Visualization
        • Predictive Analysis
        • Statistical Modeling
        • Data Mining
        • Clustering & Classification
        • Data Analytics
        • Quantitative Analysis
        • Web Scraping
        • ML Algorithms
        • Model Development

        So if you are wondering how to get a job in machine learning then you must scan through the machine learning job description and align your machine learning skills and experience accordingly.

        Machine Learning Salary

        How to Write Your Machine Learning Resume

        How to get a job in machine learning?

        Well, you need to have the right set of machine learning skills and a flawless machine learning resume.

        Rules exist for a reason, and resume writing also comes up with a string of rules that you are expected to follow to curate your resume with perfection.

        A perfectly composed machine learning experience resume demands that you are organized in your resume writing approach.

        Given below are the 3 stages of resume writing that you should follow:

        • First stage: Master Machine Learning Resume
        • Second stage: First Draft of your Machine Learning Resume
        • Third stage: Final Draft of your Machine Learning Resume

        Machine-Learning-Resume-Stages

        Master Machine Learning Resume

        As part of the first stage of writing your artificial intelligence resume, you should compose a master resume.

        In this stage, your only responsibility is to compile all your work-related information in one place. The idea is to store all your career-specific information in one storage unit. This storage space is called the master resume.

        There are 2 uses of making a master resume. We have listed them below:

        • Resume compilation in the present timeline: The main and immediate use of making a master resume is resume-making in the present. The idea behind storing all your information in one place is to enable information accessibility. When all your data is easily accessible, it becomes easy to compose a resume that is well-suited to the needs of your target job-listing.

        • Resume update in the future: The second advantage of making a master resume is in its capacity to help you update your resume in the future. Storing your information in one source ensures that you can easily refer to all your old experiences in the future. This makes resume-update an effortless exercise.

        First Draft of Your Machine Learning Resume

        The second stage of resume-writing involves making the first draft of your machine learning resume. As part of the first draft stage, you need to compose the following sections:

        • Header
        • Personal information
        • Profile title
        • Professional experience
        • Education
        • Certification
        • Awards & recognition
        • Additional information

        Final Draft of Your Machine Learning Resume

        Concluding your artificial intelligence resume is the third and final stage of resume-writing.

        As part of this stage, you need to compose the sections that we have mentioned below:

        • Compose the key skills section: The key skills section is a vital part of your machine learning resume template. This section is the second last section that you should compose in your resume.

        • Compose the summary or objective section: Whether you write a resume summary or a resume objective depends on your work experience. This section is generally composed at the end so it is easy to pick the highlights of your career and write a highly impactful resume summary or objective.

        How to Write Your Machine Learning Resume: Conclusion

        Now that you know what the 3 main stages of resume writing are, all you have to do is compose your resume by following each stage – one after another.

        If you follow the order that we have mentioned above, you will be able to draft the best machine learning resume that is better than most resumes.

        If you’re new at writing resumes, read Hiration’s Guide on writing resumes for beginners for a detailed explanation of composing resumes.

        Ideal Resume Format for Your Machine Learning Resume

        You can use 3 types of resume formats to structure the layout of your ML resume.

        We have listed them below:

        • Reverse Chronological Resume Format: This resume format endorses your most recent work experience first, followed by the second most recent experience, and so on
        • Functional Resume Format: This resume format prioritizes your skills as opposed to the timeline approach of fashioning resumes
        • Combination/Hybrid Resume Format: This format is an exciting combination of the two resume formats listed above. It gives equal importance to the timeline of your professional engagements and your skills

        There is no one ideal format when it comes to structuring resumes. But, the reverse-chronological resume format is universally acknowledged as the most accepted format for fashioning resumes.

        Here’s what makes the reverse-chronological format the most preferred resume format among all resume formats:

        • ATS Friendly: The reverse chronological format ensures that your resume gets correctly parsed by any applicant tracking system. It also has a higher chance of ranking your resume high in the ATS which significantly enhances your chances of a shortlist
        • Recruiter Friendly: Recruiters generally prefer this resume format as this format endorses your most recent work experience first
        • Makes Your Resume Relevant: Your most recent work experience is a reflection of your most recent skills & capabilities. Thus, it is your most relevant work experience too. By endorsing it first, you are writing a highly relevant machine learning resume.

        Machine-Learning-Resume-Format

        To get a better understanding of resume formats and to pick the right resume format, read Hiration’s Blog on Resume Formats.

        Machine Learning Resume: Header

        Writing an impeccable resume header for your machine learning resume template demands that you follow the given points:

        • Write your name on the top-most part of your resume. This gives your resume an individual life and identity of its very own.
        • Give a single space between your first name and your last name and write your resume header in the font range of 16-20 font size
        • If you have a middle name: write your first name, followed by the first initial of your middle name, followed by your last name. Example: Leannah B. Stark

        Get ahead of the game and curate the perfect resume header with Hiration’s Guide To Writing The Perfect Resume Header

        To learn what a perfectly composed resume header should look like, take a look at the machine learning resume sample below:

        Machine-Learning-Resume-Header

        Use Hiration’s Resume Review Service to get your existing machine learning resume template professionally reviewed by our resume experts at Hiration.

        Machine Learning Resume: Professional Experience

        This section of your resume is the most important section of your machine learning engineer resume.

        It is here that you get the chance to convey the details of your professional experience and endorse the most important highlights of your career.

        Thus, the professional experience section of your resume is your chance to shine and distinguish yourself.

        This means that you need to perfect this section at all costs. Mentioned below is a list of things to do to perfect this section:

        • Use the STAR format
        • Frame points
        • Use grouping & highlighting

        Machine-Learning-Resume-Work-Experience-Tips

        We will now discuss these points. But before we do, learn all about enhancing the effectiveness of this section with Hiration's Guide to the professional experience section.

        Take a look at our machine learning resume sample to learn what an impeccable professional section should ideally look like:

        Machine-Learning-Resume-Professional-Experience

        STAR FORMAT in Your Machine Learning Resume

        As we have stated above, the professional experience section of your ML resume is your chance to shine. The need to perfect is of high priority.

        The STAR format is the industry standard when it comes to composing the professional experience section of your machine learning developer resume.

        STAR format stands for the following:

        S stands for Situation: Refers to the context of your contributions
        T stands for Task: Refers to the assigned task
        A stands for Action: Refers to the strategy you used to meet this task
        R stands for Result: Refers to the result/outcome of your actions using achievement/performance figures

        The STAR format uses the cause-effect relationship which helps you showcase the reason behind your actions and the outcome of your actions.

        This makes it easy for the recruiter to comprehend the results of your contributions to the organizations that you have worked with.

        Through the STAR format, you can showcase your value through a resume for machine learning.

        FRAMING POINTS in Your Machine Learning Resume

        People tend to unnecessarily elongate their resumes by composing them in the form of paragraphs. If you have a habit of using paragraphs, it’s time to flip the page and resort to framing points instead.

        The idea behind writing a resume is to get you the shortlist that you want.

        So always remember...

        • You cannot accomplish this goal if your resume fails to do the bare minimum of keeping the recruiter interested in evaluating your resume in its entirety.
        • The average recruiter spends less than 10 seconds quickly browsing through your resume.
        • If you use paragraphs, your resume will look cluttered and will potentially discourage the recruiter from assessing your resume.

        This is not something you want.

        Thus, you should use points instead of paragraphs to communicate the details of your professional experience to the recruiter.

        Here are two examples to demonstrate this.

        AVOID THIS:

        Machine Learning Resume Example 1:

        "As part of my most recent professional venture as a Senior Machine Learning Engineer at XS Capital Inc, I was responsible for a range of roles & responsibilities such as Web Scraping, Data Visualization, Regression Modeling, Predictive Modeling & Algorithm Development. Getting into the specifics, I developed predictive models and supervised the testing of over 50 financial-centric products and services. I also determined optimal pricing strategies to achieve 80% of the company's revenue goals. I predicted stock price with 90% accuracy to enable informed investments and improved the company's safety networks by putting in place multiple touch-sensitive ML systems for all office floors".

        PRACTICE THIS:

        Machine Learning Resume Example 2:

        • Facilitated model development & testing of 50+ financial products and services
        • Compiled pricing data for competitive analysis by performing web scraping in Python
        • Determined optimal pricing strategies to achieve 80% revenue goals
        • Predicted stock price with 98% accuracy to enable informed investments
        • Improved the company's safety networks by designing touch-sensitive ML systems for all office floors

        Framing One-Liners: Analysis

        PARAGRAPH 
        ONE-LINERS
        Includes unnecessary words and phrases
        Creates clear and meaningful sentences
        Tends to beat around the key points
        Straight to the key points

        GROUPING & HIGHLIGHTING in Your Machine Learning Resume

        The professional experience section of your machine learning resume needs to be a professional and highly impactful endorsement of your work experience.

        Framing points alone fail to attain this objective as all it does for your resume is make it more readable. Good readability makes your resume easy to comprehend, but it might not help in delivering the desired impact.

        This is where grouping & highlighting can revolutionize your resume.

        Here are two examples to demonstrate this point.

        LESS IMPACT:

        Machine Learning Resume Example 1:

        • Facilitated model development & testing of 50+ financial products and services
        • Compiled pricing data for competitive analysis by performing web scraping in Python
        • Determined optimal pricing strategies to achieve 80% revenue goals
        • Predicted stock price with 98% accuracy to enable informed investments
        • Improved the company's safety networks by designing touch-sensitive ML systems for all office floors

        HIGHER IMPACT:

        Machine Learning Resume Example 2:

        Web Scraping, Data Visualization & Regression Modeling

        • Facilitated model development & testing of 50+ financial products and services
        • Compiled pricing data for competitive analysis by performing web scraping in Python
          Predictive Modeling & Algorithm Development
        • Determined optimal pricing strategies to achieve 80% revenue goals
        • Predicted stock price with 98% accuracy to enable informed investments
        • Improved the company's safety networks by designing touch-sensitive ML systems for all office floors

        Grouping & Highlighting: Analysis

        • Using grouping & highlighting makes your resume highly effective
        • It diverts the recruiter's attention to the main highlights of your career
        • Makes it easy for the recruiters to identify your skills

        Conclusion: Use grouping & highlighting alongside points to bring out the best in your resume.

        Machine Learning Resume Key Skills & Technical Skills

        Relevant engineering skills for resume can go a long way in revolutionizing your job application.

        For instance, if you’re an ML professional, you should know the right engineering skills for resume that you should put down in your machine learning resume.

        Since your machine learning skills are a reflection of your core areas of strength, you must not miss anything out.

        The Job-Match option of Hiration's Online Resume Builder helps you check the skills missing and provides suggestions for skills that can be added to make your resume rank higher.

        Simply copy paste the job description of the targeted machine learning job profile in the provided space and let it analyze the resume.

        Machine-Learning-AI-Review-Skills

        Here’s a list of what you can do to elevate this section to the realms of resume perfection:

        • Your goal here is to single out your key skills and technical skills in separate sections. To successfully do this, you should objectively single out your core skills after thoughtfully evaluating the professional experience section.
        • Once you identify your key skills, list them down in 2-3 words in the key skills section of your machine learning resume
        • The next thing that you can do to optimize this section is to write this section with the ATS in mind. All you have to do is identify the keywords in your target job listing

        A keyword is a set of skills that the recruiter looks for in the ideal candidate. You can identify it by evaluating the job posting of your interest.

        If you identify the keywords that resonate with your key skills, replicate them in this section.

        By doing this, you’ll be able to demonstrate to the recruiter that you possess the desired skill set and that you have the machine learning engineer skills that matter

        Still need to learn more about this section?

        If the answer is yes, read Hiration's Guide on what skills to put on a resume to get a clear picture of how to draft an impeccable key skills section for your machine learning engineer resume.

        Take a look at our machine learning resume sample below to learn what a perfectly crafted key skills section should ideally look like:

        Machine-Learning-Resume-Skills

        Machine Learning Resume Summary

        When a recruiter goes through your machine learning resume, he/she will most definitely take into account your resume summary to assess if you have what it takes to reserve your rightful spot in their prestigious organization.

        All you need to do is:

        • Write a maximum of 4-5 lines to describe the impact your contributions had on the business growth.
        • Include suitable skills that have been listed in the skills section.
        • Describe in brief what you have achieved so far and are capable of as an ML professional.
        • State the skills in which you are adept at executing for attaining the organizational goal.

        Recruiters will look for signs of perfection in your resume summary. If it leaves a positive impact, your artificial intelligence resume is likely to get shortlisted.

        You can check your resume score by turning on the AI-Review option in our Online Resume Builder.

        Machine-Learning-AI-Review-Resume-Score

        In the meanwhile, read Hiration's Guide to Resume Summaries for an in-depth explanation for fashioning impeccable resumes.

        To know what an ideal resume summary should look like, take a look at the machine learning resume sample that we have mentioned below:

        Machine-Learning-Resume-Summary

        Machine Learning Resume Objective

        A resume objective is just as important as a resume summary. However, it is only written by those professionals with minimal work experience of 0 – 3 years.

        Since a resume objective is written by those professionals with very limited work experience, the need to make the most of this section increases.

        Draft an impeccable objective section with Hiration's Guide on Resume Objectives. It is an in-depth guide on how to perfectly curate the objectives section.

        Machine Learning Resume: Personal Information

        When it comes to writing the perfect resume, you must perfect each section.

        This rule also applies to your information section. You need to perfect it.

        This section is important as it communicates vital contact information for correspondence. Without this section, a recruiter cannot get in touch with you.

        • Updated mobile number
        • Professional email address
        • Location

        Hiration Pro Tip: You can also add the link to LinkedIn, Github, and any other websites for the recruiters to easily reach out to you.

        EXAMPLE:

        PERSONAL INFORMATION
        Contact Number: +1 234 123 1234
        Email Address: jason@xyz.com
        Location: SF, US
        LinkedIn: www.linkedin.com/jason

        Read Hiration's Guide to composing your contact information to learn the art of writing an unmistakably impeccable machine learning resume.

        Take a look at the machine learning resume sample that we have mentioned below to learn what an ideal ML resume should ideally look like:

        Machine-Learning-Resume-Personal-Information

        Updated Mobile Number

        Putting down the details of your mobile number on your ML resume is as simple a task as any. When writing down your mobile number, you must mention only that contact number on which you are available 24X7.

        E-mail Address

        Your email ID is one of the most important parts of your contact information. Its importance lies in its capacity to connect you with interested recruiters.

        A potential employer who is interested in getting in touch with you will do so using your professional email ID.

        Thus, you must write your correct email address in your machine learning developer resume without any spelling mistakes.

        Moreover, correctly writing your professional email address is not enough. Your email ID needs to reflect a refreshing sense of professionalism too.

        Hiration Pro Tip: Do not write jazzy names like Sarahthestunner@xyz.com as your email ID. Instead, use sarah.simpson@xyz.com as your professional email ID.

        Location

        The location in your machine learning experience resume is a reflection of the city you are located in.

        • You do not need to mention irrelevant details of your location like your house address, street name, and locality name in your resume
        • Mention your city and state name if you are looking for a job in the same country
        • Mention your city and country name if you are looking for a job in another country

        Machine Learning Resume: Profile Title

        Profile title is an important element of the professional identity of your resume for machine learning.

        It is a reflection of your latest job title and tells the recruiter about your functional industry and your achievement in your functional industry.

        For instance, “senior associate” reflects a degree of seniority. In the finance or accounting firm, a senior associate is a higher job position than an “analyst”.

        As such, you need to correctly compose your profile title as it conveys your level of seniority in your functional industry.

        Here are some facts about profile titles that you should know while composing your profile title:

        • Profile titles are written in the font range of 14-16 font size
        • It is the second-largest font in your resume after your resume header
        • It is written directly below the personal information section of your resume

        Here's our machine learning resume sample showcasing the ideal profile title for your machine learning resume template:

        Machine-Learning-Resume-Profile-Title

        Not sure how to write a perfectly structured resume with the correct font size?

        If the answer is yes, you can use our Online Resume Builder. Our 100+ content templates and 25+ design templates are perfectly structured to simplify your resume writing endeavor.

        Machine Learning Resume: Education

        The education section of your machine learning engineer resume ideally consists of the following details:

        • Schools/universities you went to
        • List of the pursued courses
        • School/university location
        • Enrollment and graduation dates

        You can go through Hiration's Guide to listing education on your resume to get an in-depth account of how an ideal education section should be composed.

        Given below is our machine learning resume sample to give you a glimpse into the world of perfectly curated education section for your machine learning resume.

        Machine-Learning-Resume-Education

        Machine Learning Resume: Certifications

        The importance of the certifications section lies in the extra added value that it provides to your resume for machine learning. For two candidates with the same educational background and professional expertise, it becomes hard to evaluate which candidate to go for.

        In a situation like this, a candidate with certifications is preferred.

        Given below is a list of what the certifications section contains:

        • Certification (s) pursued
        • Name of the certification issuing body
        • Location of the certificate-issuing body
        • Dates of enrollment & completion of certification

        Since your certifications can give you a winner’s advantage over others, you must perfect this section. You can read Hiration's Guide on listing certifications on a resume to learn the art of perfecting this section.

        In the meanwhile, take a look at our machine learning resume sample to learn what an ideal certification section should ideally look like.

        Machine-Learning-Resume-Certifications

        Resume Review & Free Machine Learning Resume Templates

        With our Resume Review Service, your machine learning engineer resume will be reviewed in compliance with the following parameters:

        • ATS Compliance
        • Conversion Scope
        • Content Relevance
        • Global Compatibility
        • Design Compatibility
        • Performance Assessment
        • Recruiter Friendliness
        • Compliance with industry norms
        • Resume Formatting (font, margins, the order of sections, etc.)

        Revolutionize your resume by getting your existing resume reviewed with Hiration’s Resume Review Service now!

        Resume Builder for Machine Learning Resume

        Our Online Resume Builder is designed to elevate your resume to the realms of resume perfection. Build your ATS-targeted resume with our resume building tool.

        Here’s the best part:

        You will get the below-mentioned resources with our Online Resume Builder:

        • A sharable link
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        • 25+ resume designs
        • Full rich-text editor
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        Hiration Cover Letters & Other Services

        Hiration's Cover Letter Builder provides:

        • 10+ ready to use templates
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        Make sure to check out the following features:

        Key Takeaways

        • Use the month and year format to represent the dates across all sections of your machine learning engineer resume
        • Use the Reverse Chronological Format to structure your resume for machine learning according to the needs of the ATS system
        • Use points to enhance the readability of your machine learning developer resume. Use grouping & highlighting to draw the recruiter’s attention to your key achievements within each point in your professional experience section
        • Use the STAR format to establish a cause-effect relationship between the why of your activity and the results of your activity
        • Use power verbs in the past tense for past profiles and projects. For present profiles and projects, use power verbs in the present continuous tense

        With this, you have reached the end of this blog.

        The guidelines that we have mentioned in this blog will go a long way in helping you curate a perfect resume if you follow it religiously.

        Do use Hiration’s Online Resume Builder to simplify your resume writing experience. It will help you curate the perfect machine learning resumes in no time.

        Write to us at team@hiration.com if you have any doubts and queries. We’d like to resolve your queries!