American Express
American Express
American Express este o companie globală de servicii financiare care activează în domeniile bancar, financiar și al plăților între companii. Activitatea sa include carduri de credit pentru consumatori, companii și corporații; servicii de plată și pentru comercianți; conturi de economii, certificate de depozit și împrumuturi personale; precum și programe de recompense, programe de călătorii, soluții de plată pentru companii, educație financiară, servicii de securitate și asistență pentru membrii care dețin carduri și pentru comercianți.

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.

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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

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