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Remote Distributed Training Engineer: Multi-Gpu Scaling
BairesDev is seeking a Distributed Training Engineer to own scaling and optimization of training workloads across multi-GPU and multi-node environments.
You will enable systems fluency to handle massive datasets and models, ensuring peak performance through mixed-precision and distributed coordination.Join a global, 100% remote team delivering cutting-edge ML infrastructure.
The role requires collaboration with ML research teams and strong expertise in CUDA and PyTorch ecosystems.
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