The Machine Learning Platform Engineer will own end-to-end model deployment and user impact, including ML inference, deployment, quality validation, benchmarking, and collaboration. The role requires hands-on experience deploying models on cloud platforms, preferably GCP, integrating models with Java/JVM systems, working with streaming data architectures and hybrid environments, and troubleshooting distributed systems. Experience with TensorFlow, PyTorch, or JAX is required.
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