Click here to directly go to the complete Machine Learning resume sample.
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.
Knowing how to use the right algorithm will not get you your dream ML job.
In today’s world, you cannot survive 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.
As a machine learning professional you have to write an exceptional resume.
By the end of this Machine Learning Resume guide, you will have an in-depth insight into:
- What is an ATS compliant machine learning resume?
- How to get a machine learning job?
- Which is the best format for your machine learning engineer resume?
- What is the best way to highlight your machine learning experience in a resume?
- What are the machine learning skills that need to be included in a machine learning resume?
- How to compose the perfect machine learning resume summary or objective.
- Is it necessary to include educational and certification details on a machine learning resume?
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:
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 your chances are of getting shortlisted for your dream job.
- Your goal here is to write an ATS-targeted machine learning resume.
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 experiences accordingly.
Machine Learning Salary
- Glassdoor: USD 80k – 162k per year
- Payscale: USD 76.6k – 151k per year
- Ziprecruiter: USD 38k – 200k per year
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.
Also Read: Tips on choosing the correct resume format for your resume.
Machine Learning Engineer Resume Sample With 3+ Years of Experience
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 for perfecting this section:
- Use the STAR format
- Frame points
- Use grouping & highlighting
Also Read: How to craft a professional experience section for resume in 2023?
Take a look at our machine learning resume sample to learn what an impeccable professional section should ideally look like:
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 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.
- 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.
- 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
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 Skill Section
Relevant engineering skills for your 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 reflect your core areas of strength, you must not miss out on anything.
Simply copy-paste the job description of the targeted machine learning job profile in the provided space and let it analyze the resume.
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?
Take a look at our machine learning resume sample below to learn what a perfectly crafted key skills section should ideally look like:
Also Read: How to add key skills section in a resume?
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.
Also Read: How to create an effective summary for a resume in 2023?
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 Objective
A resume objective is just as important as a resume summary. However, it is only written by professionals with minimal work experience of 0 – 3 years.
Since a resume objective is written by professionals with very limited work experience, the need to make the most of this section increases.
Also Read: How to create the objective section of a resume in 2023?
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
To learn what a perfectly composed resume header should look like, take a look at the machine learning resume sample below:
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
EXAMPLE:
| Personal Information: | Example |
|---|---|
| Contact Number: | +1 234 123 1234 |
| Email Address: | jason@xyz[dot]com |
| Location: | SF, US |
| LinkedIn: | www.linkedin.com/in/jason |
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:
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.
Location
The location in your machine learning experience resume shows the city you are 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
Also Read: How to write the contact information on resume in 2023?
Machine Learning Resume: Profile Title
Profile title 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 the level of seniority. In a finance or accounting firm, a senior associate is in 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: 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
Also Read: How to write the education section of a resume in 2023?
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: 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
In the meanwhile, take a look at our machine learning resume sample to learn what an ideal certification section should ideally look like.
Also Read: How to write the certification section on a resume in 2023?
Machine Learning Engineer Resume Sample 1
Machine Learning Resume Sample 2
Before we begin, here's our machine learning resume sample to learn what your ideal machine learning engineer resume should ideally look like:
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- CGPA: 3.6/4.0
- Machine Learning Certification | Coursera | May '10 - Jul '10
- Python Certification Training | Coursera | Jan '09 - Mar '09
- Languages: English, Spanish
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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 them religiously.
Go to Hiration resume builder and create a professional resume for yourself. It has 24X7 chat support to provide professional assistance with all your job & career-related queries.
Additionally, you can also reach out to us at support@hiration.com.
