Lead Applied AI ML for Payments

What you'll do

• Lead the architecture, design, and end-to-end delivery of enterprise AI/ML solutions for Wholesale Payments Operations.
• Write clean, production-quality code and establish engineering standards for the team.
• Deploy and operate scalable AI/ML services on Amazon Web Services (AWS).
• Apply advanced techniques including NLP, OCR, document analysis, and LLM workflows like RAG and fine-tuning.
• Design and implement scalable, secure data pipelines to support model training and inference.
• Define and enforce MLOps practices, model governance, and responsible AI standards.
• Evaluate model performance in production, including drift management and reproducibility.
• Mentor engineers and conduct code and design reviews to improve quality and delivery speed.

What we're looking for

• Master’s degree in Mathematics, Computer Science, Engineering, or a related quantitative field.
• 6 years of professional AI/ML experience delivering production systems.
• 4 years of advanced Python development in production environments, including use of AI-assisted coding tools.
• 4 years of hands-on experience designing and deploying production machine learning systems on Amazon Web Services (AWS).
• Demonstrated experience delivering AI/ML solutions with measurable business outcomes at scale.
• Experience with object-oriented design, distributed systems, performance engineering, and MLOps tools like MLflow or Kubeflow.
• Hands-on experience in NLP, computer vision, OCR, or document AI solutions, including LLM-based applications like RAG and fine-tuning.
• Experience delivering AI/ML solutions in wholesale payments, transaction banking, or financial services (preferred).