ML Resume Structure & ATS Optimization

Resume Template

[NAME]
Email | LinkedIn | GitHub | Portfolio | Location

SUMMARY (2-3 sentences)
ML Engineer with expertise in [domains]. Built [X] production models serving [Y] users.

TECHNICAL SKILLS
Languages: Python, SQL, R
Frameworks: PyTorch, TensorFlow, scikit-learn, LangChain
MLOps: Docker, Kubernetes, MLflow, DVC
Cloud: AWS (SageMaker, Lambda), GCP (Vertex AI)

EXPERIENCE
[Company] - ML Engineer Intern (Jun 2024 - Aug 2024)
• Improved recommendation CTR by 12% using collaborative filtering (PyTorch)
• Deployed model API serving 100K requests/day with FastAPI + Docker
• Reduced inference latency from 300ms to 80ms through model optimization

PROJECTS
Customer Churn Prediction API | Python, XGBoost, FastAPI, Docker
• Built end-to-end ML pipeline predicting churn with 89% accuracy
• Deployed REST API handling 10K daily predictions
• Created monitoring dashboard tracking model drift

EDUCATION
B.S. Computer Science, [University] (2025)
Relevant Coursework: Machine Learning, Deep Learning, NLP

ATS Tips

✅ Do:

• Use standard section headings (EXPERIENCE, not "My Journey")
• Include keywords from job description
• Save as .pdf or .docx
• One page for <3 years experience

❌ Don't:

• Use tables, columns, or graphics
• Include photo or personal info
• Use fancy fonts or colors
• Exceed 2 pages

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