ATS-optimized resume example for AI and Machine Learning engineering roles. See how to structure ML skills, projects, and experience to pass bot screening and impress hiring managers.
AI/ML Engineer
TechNova AI | Jan 2024 – Present
• Designed and deployed NLP models for sentiment analysis, improving customer satisfaction scores by 35%.
• Built computer vision pipeline using PyTorch to detect defects in manufacturing, reducing false positives by 20%.
Data Scientist
DataFlow Inc. | June 2022 – Dec 2023
• Developed recommendation engine using collaborative filtering, increasing user engagement by 25%.
• Fine-tuned large language models for domain-specific tasks, reducing inference costs by 40%.
Master of Science in AI/ML | University of Technology | May 2022
Bachelor of Science in Computer Science | University of Technology | May 2020
Relevant Coursework: Machine Learning, Deep Learning, NLP, Computer Vision, Statistics
Include these terms naturally: machine learning, deep learning, NLP, computer vision, Python, TensorFlow, PyTorch, Scikit-learn, ML Ops, model deployment, neural networks, data pipelines, MLOps, cloud AI platforms, supervised/unsupervised learning, feature engineering, model evaluation, A/B testing.
For AI engineering fresh graduates, emphasize your academic projects, thesis work, and relevant coursework. Include any open-source contributions or Kaggle competitions.
If you are transitioning into AI from another field, focus on transferable skills: programming proficiency, analytical thinking, and relevant online courses or certifications.
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