Applied AI ML Director

What you'll do

• Own end-to-end delivery of AI/ML solutions from initial problem framing and data strategy to production rollout.
• Develop and improve Trust & Safety solutions for payment processing, such as fraud prevention and authorization optimization.
• Create and execute AI/ML strategies that provide platform-wide impact across the payments organization.
• Define evaluation strategies, success metrics, and robust testing protocols for model performance.
• Establish model lifecycle practices including monitoring, drift detection, and incident response to ensure reliable production performance.
• Partner with risk and compliance stakeholders to ensure models meet documentation, explainability, and audit requirements.
• Drive technical decisions through design reviews, code reviews, and the establishment of high-quality engineering standards.
• Translate complex model behaviors into decision-ready business impacts for senior stakeholders.

What we're looking for

• PhD in applied AI/ML with 5+ years of experience or an MS in applied AI/ML with 8+ years of experience.
• Experience building and delivering production machine learning or natural language processing solutions with measurable outcomes.
• Strong programming skills in Python and experience using modern frameworks like PyTorch or TensorFlow.
• Hands-on experience with document extraction, text classification, and information extraction techniques.
• Experience designing data-driven solutions using SQL and distributed processing tools such as Spark.
• Experience deploying and operating machine learning services or pipelines in a cloud environment like AWS.
• Ability to translate ambiguous business problems into structured machine learning plans including data strategy and operationalization.
• Experience with OCR, transformer-based models, MLOps, or real-time architectures (preferred).