CV template · ML / AI Engineer

ML / AI Engineer CV Template

If you ship models that actually run in production, your resume has to prove it: datasets, metrics, latency, business impact. This template helps you build a CV that gets through the ATS and grabs a technical recruiter in the first 30 seconds.

Build my ML / AI Engineer CV →See examples

What recruiters look for

Top signals on a ML / AI Engineer CV

Models shipped to production, not just notebooks and Kaggle scripts
Quality metrics with real numbers: precision, recall, F1, AUC, RMSE
MLOps experience: CI/CD for models, monitoring, retraining loops
Solid grip on PyTorch, TensorFlow, scikit-learn, Hugging Face
Work with large-scale data and cloud (AWS, GCP, Databricks)
Clean GitHub, publications or a strong Kaggle profile
Awareness of the business problem, not only the model

Key skills

Skills to feature on a ML / AI Engineer CV

Hard skills

PythonPyTorchTensorFlowscikit-learnHugging Face TransformersSQLMLflowAirflowDockerAWS SageMaker / GCP Vertex AIFeature engineeringLLM fine-tuning and RAG

Soft skills

Analytical thinkingCross-functional communicationTechnical writingMentoring juniorsComfort with ambiguity

Sample bullets

Ready-to-use lines for your CV

Copy these as starting points and swap in your own numbers.

01Shipped an XGBoost churn-prediction model that cut customer churn by 18% and added $1.2M ARR in the first year.
02Built a RAG pipeline on LangChain and pgvector for internal support copilot, dropping average agent response time from 6 minutes to 2.
03Fine-tuned LLaMA-3 8B on 120k domain dialogues, lifted BLEU from 0.31 to 0.47 and replaced GPT-3.5 in production.
04Designed a Feast feature store powering 14 production models; reduced duplicate feature work across teams by 60%.
05Migrated training workloads from on-prem GPUs to AWS SageMaker, cutting training cost 42% with no quality regression.
06Rolled out Evidently-based drift monitoring that surfaced model degradation in 3 days instead of 3 weeks.
07Optimised CV detection inference via ONNX and TensorRT, slashing p99 latency from 240 ms to 75 ms.
08Ran an A/B test on a new recommender at 8% of traffic, hit +12% CTR and shipped to 100% of users.
09Authored an internal MLOps onboarding course for 9 engineers, cutting ramp-up time from 2 months to 3 weeks.

Salary ranges

What ML / AI Engineer earn

2024–2025 estimates. Wide ranges by experience and seniority.

Market

Junior

Mid

Senior

Ukraine

$1,500-2,800 USD/mo

$3,000-5,500 USD/mo

$5,500-9,000 USD/mo

3,500-5,500 EUR/mo

5,500-8,500 EUR/mo

8,500-13,000 EUR/mo

USA

$110,000-150,000 USD/yr

$150,000-220,000 USD/yr

$220,000-380,000 USD/yr

Interview prep

5 questions ML / AI Engineer candidates hear

Q1Walk me through a model you took to production. What were the offline and online metrics, and how did you reconcile any gap between them?
Q2How do you decide between a classical ML approach and an LLM-based solution for a new business problem?
Q3Design a recommendation system for a marketplace with 5M items and a heavy cold-start problem.
Q4What is data drift versus concept drift, and how do you monitor each in production?
Q5How do you validate a model when the class imbalance is roughly 1:1000?

FAQ

Common questions about this CV

Do I need a PhD to land an ML Engineer role?

No, in product companies a PhD is a nice plus rather than a requirement. What really moves the needle is models you have shipped, clean code, and the ability to drive a problem from raw data to a business metric.

What should I put on my CV if I have no commercial experience yet?

Lead with strong GitHub projects, top Kaggle finishes and internships. Always attach numbers, even to learning projects: dataset, model, score, and how much you improved over a sensible baseline.

Should LLMs and GenAI get their own section?

If you are targeting those roles, yes, give it a dedicated block covering fine-tuning, RAG, prompt engineering and evaluation. Just do not inflate it, recruiters catch that fast in the technical screen.

How long should the CV be?

One page for junior and mid, two pages max for senior with 7+ years of experience. It is better to drop older projects than to cram everything in 8pt font.

Related templates

Other roles you might be hiring for or applying to

TemplateData Scientist TemplateData Engineer TemplateBackend Engineer TemplateData Analyst

Don't start from scratch. Trackr knows what a strong ML / AI Engineer CV looks like.

Pick the template, plug in your story, ship an ATS-ready PDF in minutes. Free plan, no card.

Build my ML / AI Engineer CV