Machine Learning Engineer, Payments ML Accelerator
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El puesto
Lead the end-to-end ML lifecycle for payments, from research and experimentation to production deployment.
Design and deploy deep learning architectures and foundation models to address problems across merchants, issuers, or customers.
Identify high-impact opportunities and drive the long-term ML roadmap through well-scoped, high-leverage initiatives.
Architect generalizable ML workflows to enable rapid scaling and optimized online performance, while deploying models with operational stability.
Experiment with cutting-edge ML techniques and evaluate their potential to solve business problems, collaborating with product and engineering teams.
Bring strong technical judgment and a track record of shipping streaming feature pipelines and production-grade systems.
Design and deploy deep learning architectures and foundation models to address problems across merchants, issuers, or customers.
Identify high-impact opportunities and drive the long-term ML roadmap through well-scoped, high-leverage initiatives.
Architect generalizable ML workflows to enable rapid scaling and optimized online performance, while deploying models with operational stability.
Experiment with cutting-edge ML techniques and evaluate their potential to solve business problems, collaborating with product and engineering teams.
Bring strong technical judgment and a track record of shipping streaming feature pipelines and production-grade systems.
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