Which skills should an ML infrastructure and MLOps resume list?

The ones employers name most in open postings: Python, LLM, AI, Kubernetes, Machine Learning, C++. List those you really have, in these words.

How long should it be?

One page for up to ten years of experience, two at most. The first third of the first page decides whether the rest is read.

Is this example a real person?

No. The name, the employers and the numbers are invented to show the form: a verb first, one result, one number. Replace every line with your own.

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ML infrastructure and MLOps resume example

A person in this job builds the computers and pipelines AI models are trained and run on. Below: an example to start from, and what 382 open postings for this work ask for today.

Alex Example

ML Platform Engineer

City, Country · [email protected]

Summary

ML Platform Engineer with five years of experience in AI and machine learning. Strongest in Python, LLM and AI.

Skills

Python, LLM, AI, Kubernetes, Machine Learning, C++, model serving, training pipelines, GPU scheduling

Experience

ML Platform Engineer, Example Company 2022 – now

Built the platform 40 researchers use to train models; starting a job takes 2 minutes instead of half a day
Raised GPU use from 45% to 82% with a shared queue, saving about $1.2M a year
Cut model release time from 2 weeks to 1 day with automated evaluation and staged rollout

ML Platform Engineer, Another Example Ltd 2020 – 2022

Set up monitoring that caught 5 cases of model drift before customers noticed

Education

Bachelor’s degree, Example University 2016 – 2020

Example. The person, the employers and the numbers are invented; replace them with yours.

Open this example in the builder Check your own resume

382Open jobs today

13%Can be done from home

$242KMedian advertised pay

What employers ask for

The skills named most often in today’s postings for this work. Name the ones you have, by these words: screening software looks for the word.

Python222 jobs · 58%LLM172 jobs · 45%AI172 jobs · 45%Kubernetes161 jobs · 42%Machine Learning127 jobs · 33%C++113 jobs · 30%AWS83 jobs · 22%CUDA80 jobs · 21%Go79 jobs · 21%CI/CD79 jobs · 21%

Titles employers use

Senior Java Software Engineer - Search Inference - Platform; Staff Software Engineer, AI Platform; Staff Machine Learning Engineer, ML Platform; Senior Software Engineer, AI Platform; Site Reliability Engineer, AI Infrastructure (Starshield); Software Engineer, AI Infrastructure (Starshield).

Make it yours

Keep the form, change every fact. A verb first, what changed, one number.
Use the posting’s words. The match checker shows which of them your resume lacks.
Put the strongest result first. The resume review tells you what a first read finds.

Questions about an ML infrastructure and MLOps resume

Which skills should an ML infrastructure and MLOps resume list?: The ones employers name most in open postings: Python, LLM, AI, Kubernetes, Machine Learning, C++. List those you really have, in these words.
How long should it be?: One page for up to ten years of experience, two at most. The first third of the first page decides whether the rest is read.
Is this example a real person?: No. The name, the employers and the numbers are invented to show the form: a verb first, one result, one number. Replace every line with your own.

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