Senior engineer blending machine learning and backend development to build scalable, production-grade services for AI/ML products. Day to day: cloud-native infrastructure with Docker, Kubernetes, and AWS, plus model work in PyTorch/TensorFlow using Python, Go, and .NET. Pays $180k-$200k, no equity, remote-friendly with an Austin base.
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