Machine Learning Resume Keywords & ATS Expectations

This isn't an article — it's the live data our resume scanner uses to analyze machine learning resumes. When the engine improves, this page updates with it.

Core skills per the U.S. Department of Labor

Source: O*NET 15-2051.01 — Data Scientists (ML specialization) (onetonline.org, public domain)

machine learningmodel evaluationfeature engineeringstatistical modelingexperiment design

PythonPyTorchTensorFlowscikit-learnSQLMLflowKubernetes

Keywords ATS systems expect on machine learning resumes

machine learningdeep learningneural networkmodel trainingmodel deploymentmodel servinginferencefine-tuningfine tuningLLMlarge language modelgenerative aigenerative artificial intelligenceRAGretrieval augmented generationvector databasevector dbembeddingsembeddingprompt engineeringprompt designRLHFreinforcement learning from human feedbacktransfer learning

Job titles recruiters recognize in this field

machine learning engineerml engineersenior ml engineerai engineerai/ml engineerapplied ml engineerllm engineerlarge language model engineergenerative ai engineergen ai engineergenai engineerprompt engineerai prompt engineerrag engineerretrieval augmented generation engineermlops engineerml platform engineerml infrastructure engineer

Certifications that anchor a machine learning resume

aws machine learning specialtygcp professional ml engineerazure ai engineertensorflow developerdeeplearning.aicoursera machine learningfast.ai

What screeners check first in machine learning

A GitHub/papers link is expected in this field.

Common questions

What keywords do ATS systems look for on machine learning resumes?

The highest-weight terms in our machine learning detection engine include machine learning, deep learning, neural network, model training, model deployment, model serving, inference, fine-tuning. These come from the live tables our scanner runs on every machine learning resume — use the exact recognized form of each term you can honestly claim, once, attached to real experience.

Which certifications matter most on a machine learning resume?

Our scanner anchors machine learning resumes on certifications like AWS MACHINE LEARNING SPECIALTY, GCP PROFESSIONAL ML ENGINEER, AZURE AI ENGINEER, TENSORFLOW DEVELOPER, DEEPLEARNING.AI, COURSERA MACHINE LEARNING. List the ones you hold with their exact recognized abbreviation — recruiters and ATS searches both match on the standard form.

What do screeners check first on machine learning resumes?

A GitHub/papers link is expected in this field.

How do I check my machine learning resume against this data?

Run the free scan — it checks your actual document against these exact keyword tables, plus parsing, structure, and red flags, and returns a full diagnostic report in about 20 seconds. No signup; your resume is never stored.

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Role-specific keyword guides

Machine Learning Engineer resume keywords →Ml Engineer resume keywords →Ai Engineer resume keywords →

Methodology: keyword and title lists come directly from the detection tables our scanner runs on every machine learning resume, validated by a pinned regression suite. O*NET data is public domain from the U.S. Department of Labor. See our methodology.