Senior deep learning engineer at Sber's DS team to scale GigaAM, the open-source Russian speech-recognition model, into a much larger multilingual general-audio foundation model: scaling data pipelines, pretraining methods, and model size to production and publications. Core stack: Python, PyTorch, and distributed training (DDP/FSDP/ZeRO).
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