Writing exceptionally good algorithms will not land you your dream job as a machine learning professional if you cannot write an equally exceptional resume.

[Click here to directly go to the complete machine learning resume sample. ]

If you think that writing codes 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 is your skills to your name. You need to know how to impressively endorse your skills in a resume.

If you’re not getting shortlisted for your dream job, know that its because your machine learning resume is not getting parsed by the applicant tracking system. (More on this later).

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 2019 Blog:

  • Use the reverse chronological order across all sections in your data engineer resume
  • Enhance the effectiveness of your machine learning resume by structuring the professional experience section using points and grouping similar points under unique subheadings
  • Do not use “CV” or “Resume” as your resume header. Write your real full name as your resume header
  • Write the dates in the month and year format
  • Write a resume objective if you have zero to less than 3 years of work experience. Otherwise, write a resume summary

As we have mentioned above, your resume plays a central role in helping you get your target shortlists. It can make or break your career which is why this blog focuses on elevating your resume to resume perfection.

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

  • What to write in your machine learning engineer resume and how to write it
  • How to correctly structure each section of your data engineer resume using the right font size and spacing
  • How to curate a recruiter friendly and ATS-targeted machine learning resume from scratch

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

Mentioned below is a list of what you will learn 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.

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. Passionate engineer & thriving analyst with the ability to apply ML techniques & algorithm development to solve real world industry problems.
• Data Visualization • Predictive Analysis • Statistical Modeling • Training & Mentoring • Clustering & Classification
• Data Analytics • Data Mining • Quantitative Analysis • Web Scraping • ML Algorithms • Model Development
  • 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
    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
      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 using 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
        • Top 5 percentile of the class
        • Machine Learning Certification | Coursera | May '10 - Jul '10
        • Python Certification Training | Coursera | Jan '09 - Mar '09
        • Languages: English, Spanish

        Machine Learning Job Description for Resume

        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’s 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’s a list of the machine learning resume skills that you are expected to have 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

        Machine Learning Salary

        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 a machine learning resume.

        Without your data engineer 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. This need is satisfied by your data engineer resume.

        Given the challenges of the time, you don’t just need an average data engineer resume, but you need a data engineer resume that is highly impactful 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.

        In the meanwhile, know the flaws in your resume and learn how to overcome them using Hiration’s Resume Review Service. Keep an eye out on the bottom left corner of this page to use our AI-powered Resume Review Service.

        Sections in your Machine Learning Resume

        To write a highly effective ATS-targeted resume, you need to adhere to certain rules & regulations. Correctly filling up the relevant sections of your resume is the first and simplest thing that you can do to write an effective data engineer resume.

        Mentioned below is a list of the sections that you should fill to complete your resume:

        • Header
        • Personal Information
        • Profile Title
        • Summary/Objective
        • Key Skills
        • Professional Experience
        • Education
        • Certifications (if any)
        • Additional Information (if any)

        Your goal here is to diligently and professionally fill-up the above-mentioned sections in your resume. Read Hiration's 2019 Guide to sections in a resume to learn how to efficiently compose the sections in your machine learning resume.

        While you’re at it, you should try Hiration’s Online Resume Builder to compose a perfectly-written, ATS-targeted, job-winning resume.

        It also comes with a machine learning resume template that is pre-filled with pre-adjusted sections, perfectly composed text size and correct spacing to help you write a professionally designed data engineer resume.

        How to write your 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 data engineer 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

        Master Machine Learning Resume

        As part of the first stage of writing your 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 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 data engineer resume. 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 a data engineer resume that is better than most resumes.

        If you’re new at writing resumes, read Hiration’s 2019 Guide on writing resumes for beginners for a detailed explanation of composing resumes.

        You can also give yourself a professional advantage by curating your data engineer resume with Hiration's Online Resume Builder to effortlessly curate a job-winning machine learning resume.

        Our resume builder also comes with pre-filled machine learning resume templates that you can edit according to your needs and preference.

        Ideal resume format for your Machine Learning Resume

        You can use 3 types of resume formats to stucture 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.

        This is the resume format that you are expected to use.

        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 chancing of ranking your resume high in the ATS system 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

        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: Professional Experience

        This section of your data engineer resume is the most important section of your 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 bucketing & bolding

        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 data engineer resume is your chance to shine. The need to perfect is of high priority.

        This means that the structure of this section needs to be perfected. This is where the STAR format comes in. The STAR format is the industry standard when it comes to composing the professional experience section of your 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. It is a fantastic way to demonstrate your skills and qualities.

        Framing Points in your Machine Learning Resume

        People tend to unnecessarily elongate their resumes by composing it 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. 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 in 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.

        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 supervized 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".

        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 points: Analysis

        The below-mentioned lessons can be learned from the above examples:

        • Example 1 uses paragraphs to communicate the candidate’s roles & responsibilities while example 2 uses points to communicate the same thing
        • Example 1 is hard to read & comprehend, it is cluttered, and it thus acts as a potential detractor as it discourages the reader from evaluating the resume because of the bulkiness of the resume
        • On the contrary, by using points to discuss the candidate’s work experience, example 2 succeeds in communicating the same things like 1 in simple understandable terms. Using points makes the resume reader-friendly and it is easier for the recruiter to comprehend the resume when points are used instead of paragraphs
        • Thus, you are advised to strictly avoid using paragraphs in your resume. Frame points to structure your resume

        Bucketing & Bolding 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 bucketing & bolding can revolutionize your resume.

        Here are two examples to demonstrate this point.

        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

        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

        Bucketing & Bolding: Analysis

        The above examples leave us with the following key takeaways:

        • Example 1 uses one-liner points to discuss the candidate’s professional experience while example 2 uses bucketing & bolding alongside points
        • Using bucketing & bolding makes your resume highly effective because it diverts the recruiter's attention to the main highlights of the candidate’s career highlights.
        • Thus, using bucketing & bolding maximizes the effectiveness of a candidate’s resume
        • It also saves the recruiter’s time and effort as it makes it possible for the recruiter to identify the key skills and highlights of a recruiter’s career in one simple glance
        • Conclusion: Use bucketing & bolding alongside points to bring out the best in your resume

        Machine Learning Resume: Header

        Writing an impeccable resume header for your data engineer resume demands that you follow certain rules & regulations:

        • To avoid taking the wrong approach to composing your resume header, strictly avoid using “CV” or “Resume” as your resume header. This is seen unprofessionally as it is implied that you are sending your resume. Thus, it does not need to be explicitly mentioned
        • Instead of writing “CV” or “resume”, you should write your real full name as your resume header. If your name is Daniel Davis, your resume header should be “Daniel Davis”
        • Write your name on the top-most part of your resume. This gives your resume an individual life and identity of its very own. It also helps eliminate potential mixing up of resumes with other candidates who may be applying for the same job
        • 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 2019 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 data engineer resume professionally reviewed by our resume experts at Hiration.

        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 the vital contact information for correspondence. Without this section, a recruiter cannot get in touch with you.

        • Updated mobile number
        • Professional email address
        • Location

        Arrange these points in the format that we have mentioned below:

        {Personal Mobile number} | {Professional E-mail Address} | {Current Location}

        Read Hiration's 2019 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 data engineer resume should ideally look like.

        machine-learning-resume-personal-information

        Updated Mobile Number

        Putting down the details of your mobile number on your data engineer 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.

        Once you pick your most updated mobile number, structure it in the manner that we have mentioned below:

        • Use your country’s ISD code as a prefix before your phone number
        • Put a plus sign (+) before the ISD code
        • Write your updated mobile number after the ISD code
        • Eg: +1 65432 31981

        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 data engineer 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.

        All you have to do to correctly compose your email ID is write your real full name followed by @gmail.com or @yahoo.com. This is the correct approach for composing your email ID.

        Location

        The location of your data engineer resume is a reflection of the city you are located in. Given below are the top guidelines that you should follow when composing the location in your resume.

        • In resume terms, location is indicative of your current city of residence.
        • You should write it in the right-most corner of the personal information section
        • You do not need to mention irrelevant details of your location like your house address, street name, and locality name in your data engineer 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. 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 data engineer 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 data engineer resume:

        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 in the current font size 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

        These should be arranged in the below-mentioned format:

        {Name of the school/university} | {Location} | {Dates} (in month and year format) {Name of the degree} | {CGPA}

        You can go through Hiration's 2019 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-1

        Machine Learning Resume: Certifications

        The importance of the certifications section lies in the extra added value that it provides to your resume. 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 2019 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-1

        Machine Learning Resume: Key Skills

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

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

        If you miss a relevant skill, you have unknowingly hampered your chances of a shortlist.

        Since your key skills are a reflection of your core areas of strength, you mustn’t miss anything out. Let’s say you can perfect this section, your chances of getting shortlisted significantly increases.

        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 in this section. 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 skills that matter

        Does this seem too vague to chew on?

        If the answer is yes, read Hiration's 2019 Guide on what skills to put on a resume to get a clear picture on how to draft an impeccable key skills section for your machine learning engineer resume.

        In the meanwhile, you can use our Online Resume Builder to effortlessly compose your data engineer resume without breaking a sweat.

        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-key-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.

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

        Mentioned below are some facts about a resume summary and what you can do to structure it with perfection:

        • Your resume summary is a short statement of all your skills & achievements in a short paragraph
        • It is a reflection of your professional accomplishments in 2-3 lines
        • You should write a resume summary only if you have a minimum work experience of 3 years. If you haven’t worked for at least 3 years, you should write a resume objective instead of a resume summary
        • As a general rule, you should write your resume summary at the end after composing the rest of the sections of your machine learning resume
        • To follow the right approach of structuring your resume, pick the highlights of your career from the professional experience section of your resume and replicate them in your resume summary
        • This will help you compose your resume summary with the much-needed perfection

        In the meanwhile, read Hiration's 2019 Guide to Resume Summaries for an in-depth explanation for fashioning impeccable resumes.

        To know what an ideal resume summary should look, 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 2019 Guide on Resume Objectives. It is an in-depth guide on how to perfectly curate the objectives section.

        Resume Review & Free Machine Learning Resume Templates

        You can only write an impeccable resume if you can correct your flaws. Know the flaws in your resume, and learn what you can do to reverse it with Hiration’s Resume Review Service.

        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.)

        You will also get 2 resume templates for free!

        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 data engineer 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
        • Live resume editor
        • 25+ resume designs
        • Full rich-text editor
        • 100+ resume templates
        • 1-click design change
        • Unlimited PDF downloads
        • Option to save unlimited resumes

        Don’t wait for luck to get you shortlisted. Enhance your chances of a shortlist with Hiration’s Online Resume Builder now!

        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 according to the needs of the ATS system
        • Use points to enhance the readability of your data engineer resume. Use bucketing & bolding 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
        • Begin the points of your work experience with a power verb.
        • 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
        • Write a resume objective if you have 0 to less than 3 years of work experience. If your professional engagements transcend 3 years, write a resume summary
        • Write your location in city/state format if you are planning to apply for a job in the same country and write it in city/country format if you are applying for a job in another country

        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 data engineer resume in no time.

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