Principal Machine Learning Engineer turning research direction into production-grade ML systems for an AI-native productivity startup: building end-to-end training, evaluation, and inference pipelines, fine-tuning large models, and optimizing GPU deployment. Core stack spans PyTorch/JAX, distributed training frameworks (DeepSpeed, FSDP, Ray), and LLM inference tooling.
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