American Express
American Express
American Express is a global financial services company operating across banking, finance, and B2B payments. Its business includes consumer, business, and corporate credit cards; payment and merchant services; savings accounts, certificates of deposit, and personal loans; as well as rewards, travel programs, corporate payment solutions, financial education, security services, and cardmember and merchant support.

Data Science Manager, AI and Machine Learning — Singapore

Lead the development of scalable AI and machine learning solutions at American Express. Shape production models, cloud deployment strategies, and technical designs for financial services.

Description

  • Apply AI, machine learning, and technology expertise to build scalable solutions for practical problems
  • Deliver solutions end to end, from defining business problems and gathering data through analysis, modeling, validation, and production deployment
  • Review relevant academic research and evaluate emerging ideas for new business challenges and existing solutions
  • Define deployment approaches for production-ready AI solutions running at scale in cloud environments
  • Lead technical designs at both architectural and detailed levels, and review designs
  • Maintain code quality across the portfolio through innovation leadership, functional testing, and CI/CD integration
  • Mentor junior team members on technical work
  • Take part in business and technical discussions and forums across American Express

Requirements

  • PhD or master’s degree in computer science, computer engineering, information systems, or a related STEM field
  • A proven record of outstanding research, including journal or conference publications and patents, is required.
  • At least 2 years of full lifecycle product development and engineering leadership for highly available, scalable, high-throughput systems
  • At least 2 years of experience building and delivering sophisticated solutions using AI approaches, machine learning algorithms, or related technologies that scale effectively
  • Expertise in at least one area: generative AI, machine learning, deep learning, reinforcement learning, natural language processing, optimization, probabilistic inference, information retrieval, recommendation systems, Bayesian inference, or advanced time series forecasting
  • Hands-on experience with most of the listed open-source tools for orchestration, containerization, model serving, observability, development, machine learning, feature stores, and model formats
  • Programming experience in Python, Java, Scala, or Julia
  • Ability to explain complex technical topics clearly in writing and presentations
  • Strong project management skills and ability to manage competing priorities in a fast-paced environment
  • Hands-on experience with GCP and/or AWS is an advantage

Benefits

  • Competitive base salary
  • Bonus incentives
  • Support for financial well-being and retirement
  • Medical, dental, vision, life insurance, and disability coverage, depending on location
  • Flexible hybrid, on-site, or virtual work arrangements, depending on the role and business needs
  • Generous paid parental leave, depending on location
  • Free access to global on-site wellness centers staffed by nurses and doctors, depending on location
  • Free, confidential counseling through the Healthy Minds program
  • Career development and training opportunities
  • Employment is conditional on successful background verification

Related Jobs

Carrier Commercial Refrigeration

Service Dispatcher, Technical Support — Carrier Commercial Refrigeration (Serbia, On-site)

Carrier Commercial Refrigeration
1,001 – 5,000 Employees
Food & BeverageHealthcareLogistics

Coordinate equipment service and technical support for Carrier Commercial Refrigeration customers in Serbia. The role combines on-site equipment work, customer inquiries, service documentation, troubleshooting, and escalation.

Open