Senior Machine Learning Engineer

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Description

Accountabilities: - As a Senior Machine Learning Engineer, you will take ownership of machine learning initiatives from initial exploration through production deployment and continuous improvement. You will work across teams to identify opportunities, evaluate solutions, and establish reliable practices that make machine learning an effective part of the payment infrastructure. End-to-End Machine Learning Development: Own the full lifecycle of machine learning features, including research, experimentation, model training, deployment, monitoring, and ongoing optimization. - Intelligent Payment Routing: Develop and productionize machine learning models that improve payment routing decisions, helping optimize transaction performance and payment outcomes. - ML Infrastructure and MLOps: Build and improve the infrastructure required to operate models reliably, including model versioning, CI/CD pipelines, observability, and production monitoring. - Experimentation and Evaluation: Design and run experiments, including A/B tests, to evaluate model performance and determine whether proposed solutions deliver measurable improvements. - Cross-Functional Collaboration: Partner with product, data, and engineering teams to identify valuable machine learning use cases and translate promising ideas into shipped, measurable features. - Customer Engagement: Speak directly with customers to validate assumptions, understand real-world requirements, and assess how machine learning solutions perfor

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