Machine Learning Engineer Resume Example With Content Sample

Machine Learning developers are experts or skilled in utilizing data to training models. These models are then used to automate procedures or processes like speech recognition, market forecasting, and image classification. Your responsibilities as a machine learning Engineer include knowing business goals and developing models, which assist in obtaining them, together with metrics to monitor or track their developments. You have to manage available resources like data, hardware, and personnel to meet deadlines. It would help if you also analyzed the machine learning algorithms, which can solve any issue and rank them by their success likelihood.

To qualify for the position, you must have proven experience as a ML Engineer or the same role. You must have in-depth knowledge of math, algorithms, and statistics. You must have the skills to work in a team and a graduate of BS in Computer Science, Mathematics, or the same field. Create your Machine Learning Engineer Resume by clicking on ''Use this Resume'' button.

Machine Learning Engineer Resume Example With Content Sample

Machine Learning Engineer Resume Example
Machine Learning Engineer Mobile Resume Example
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How to Effectively Write a Machine Learning Engineer Resume?

To enhance the chance of getting the job you want, you must first come up with a well-written resume. Here are the tips on how to do so:

Write a Great Summary
Make sure you have a well-written summary for your resume. This can help you convince the employer to read your resume. The summary must be packed with essential information like your characteristics, achievements, skills, etc., but ensure that it is short and brief.

Include Relevant Skills
Another thing to consider is to include the skills relevant to the position you are applying for. Be honest and ensure that you possess these skills. You can write 4 to 6 skills. With that, the recruiting manager can have an idea about your competency to be a responsible employee. 

Mention Achievements 
To increase the chance of getting the job you want, ensure to mention relevant achievements. But, see to it that these accomplishments are relevant to the position of machine learning developer. You can write your professional experience to give them useful information regarding your achievements. This gives you the chance to be a machine learner Engineer on the firm you are applying for. One important tip is that make sure to write the resume using easy to understand and professional wording. Avoid vulgar words at all times.

Summary

Passionate about cutting edge technology and solving real-world problems. With previous experience in managing financial risks, I want to lead a lean team and develop new products.

Professional Experience

Azure
Jul, 2014 – Present
Machine Learning Engineer
Azure is one of the leading organizations in AI algorithm development focused on creating better traffic systems.
  • Work with Data Scientists and Product Managers to frame a problem, both mathematically and within the business. 
  • Deployed validated algorithms to  RTB system and developed techniques for monitoring and visualizing the performance of all deployed algorithms.
Azure
May, 2011 – Jun, 2014
Machine Learning Researcher
Azure is one of the leading organizations in AI algorithm development focused on creating better traffic systems.
  • Worked closely with development teams to ensure accurate integration of machine learning models into firm platforms. 
  • Developed high impact capabilities in data science and machine learning, and applied them to create new data-driven insights. 
  • Created innovative and systematic investment signals and strategies based on a rigorous, peer-reviewed research process.

Quote

favourite quote

There is no easy way from the earth to the stars.

~Seneca

Achievements

2014
Lane Finding & Vehicle Detection
Built an advanced lane finding algorithm with Python and Open CV using distortion correction, image rectifications, color transforms, and gradient thresholding. 
2016
The Nature Conservancy Fisheries Monitoring
Designed an ensemble of three different models, that leverages from transfer learning using award-winning architectures for computer vision, to successfully identify fishes in an image captured from fishing boats.

Key Skills

Applying Machine Learning
Computer programming
Managerial Statistics
Data Modeling
Data Evaluation
System Designing

Languages

English
(Native)
Dutch
(Basic)
Polish
(Basic)

Education

Bachelor’s Degree in Computer Science
Johnson University
May 2006 - Jun 2007
Mater Degree in Computer Science
Johnson University
Aug 2005 - May 2006

Certifications

ITECH Art Groups
Prof. Certificate in Data Science
Aug 2008
Sigma Data Systems
E Cornell Machine Learning Certificate
Apr 2016

Interests

  • Backpacking
  • Trekking
  • Camping
  • Cricket
  • Playing Piano
  • Astronomy

Social Media

In 3 years

In the next 3 years I want to develop an algorithm to identify vacant parking lots in a city and reduce the parked vehicle traffic on the roads.

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Machine Learning Engineer Resume Example
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