Machine Learning Engineer Resume Example

Professional Summary

Machine Learning Engineer with 5 years designing, training, and deploying ML systems at scale. Expert in PyTorch, MLflow, and AWS SageMaker. Reduced model inference costs by $1.4M annually and improved recommendation click-through rate by 23% through architecture innovations.

Work Experience

• Designed and deployed BERT-based document classification system achieving 94.2% F1 score in production across 3M daily requests
• Reduced model inference cost by $1.4M annually by quantizing and distilling large transformer models — 5× throughput gain with <1% accuracy drop
• Built end-to-end MLOps pipeline (MLflow + SageMaker) cutting model retraining cycle from 3 weeks to 4 hours
• Improved recommendation engine CTR by 23% through contextual bandit approach replacing static collaborative filtering
• Led team of 4 ML engineers delivering real-time fraud detection model processing 50K transactions/second at sub-20ms latency
• Published 2 internal research papers on few-shot learning adopted as team methodology for low-data domains

Core Skills