Staff Machine Learning Engineer, Payments
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El puesto
Lead the design, training, deployment, and operation of large-scale AI applications for payments, including LLM-powered workflows and real-time fraud defenses.
Architect end-to-end, latency-first services at global scale, partnering with product, software, and operations teams to translate complex requirements into reliable systems.
Spearhead ML initiatives such as anomaly detection, RAG pipelines, and personalization to optimize guest checkout and payout experiences.
Establish model governance, continuous learning, monitoring, drift detection, and automated retraining to sustain production quality and cost efficiency.
Mentor teams and foster an experimentation-driven culture where research advances meet production excellence.
Bring hands-on expertise with PyTorch/TensorFlow, MLOps, and data processing tools to deliver low-latency, robust, and secure AI solutions in payments.
Architect end-to-end, latency-first services at global scale, partnering with product, software, and operations teams to translate complex requirements into reliable systems.
Spearhead ML initiatives such as anomaly detection, RAG pipelines, and personalization to optimize guest checkout and payout experiences.
Establish model governance, continuous learning, monitoring, drift detection, and automated retraining to sustain production quality and cost efficiency.
Mentor teams and foster an experimentation-driven culture where research advances meet production excellence.
Bring hands-on expertise with PyTorch/TensorFlow, MLOps, and data processing tools to deliver low-latency, robust, and secure AI solutions in payments.
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