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Fintech • Machine Learning • Payments • Software • Financial Services
Leads applied AI research and strategic direction for foundation models and large-scale machine learning systems. Responsibilities include designing, training, evaluating, validating, and deploying models; advancing research in areas such as LLMs, optimization, self-supervised learning, robustness, and explainability; guiding applied scientists and managers; collaborating with engineering, product, and academic partners; and translating research into scalable customer-facing products.
Fintech • Machine Learning • Payments • Software • Financial Services
Lead enterprise technical programs for AI and ML platforms, guiding initiatives from concept through production. Partner with researchers, engineers, product leaders, and cross-functional stakeholders to deliver scalable, reliable, real-time data products and services. Identify technical risks, influence senior leadership, drive execution, mentor TPMs, and help establish the organization’s TPM practice. The role requires experience with distributed systems, cloud architecture, high-scale data platforms, Agile delivery, regulated environments, and complex cross-functional programs.
Fintech • Machine Learning • Payments • Software • Financial Services
Leads multiple technology projects and engineering teams building large-scale, cloud-native full-stack systems. Provides architectural and technical leadership, drives platform roadmaps, develops distributed microservices, mentors engineers, establishes coding standards, and improves system reliability and observability. The role partners with product leaders and architects to deliver secure, high-performance solutions using modern programming languages, cloud platforms, databases, containers, and development practices.
