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Machine Learning Engineer Resume Example
Professional Machine Learning Engineer resume example with an ATS-friendly summary and quantified bullet points you can adapt.
Machine Learning Engineer with 4+ years productionizing deep learning and NLP models for high-traffic applications. Expert in PyTorch, TensorRT optimization, and Kubernetes-based model serving. Reduced inference latency by 80% while maintaining model accuracy through quantization and batching optimizations. Example achievement bullets: Productionized transformer-based NLP model serving 10M+ daily requests with 95ms P99 latency using TensorRT and Triton Built ML training and serving platform on Kubernetes (Kubeflow + KServe), reducing model deployment time from 2 weeks to 2 hours Implemented model quantization and pruning, reducing model size by 70% with <1% accuracy loss on production traffic
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