Top AI & Machine Learning Jobs

Build and maintain a scalable, cost-efficient machine learning platform powering model training, serving, experiment tracking, feature management, and monitoring. Collaborate with data scientists to improve observability, reliability, and developer experience; participate in on-call rotations; drive product and architectural decisions; mentor teammates and raise engineering standards through reviews, documentation, and continuous improvement.

The Principal AI Content Designer will develop AI-driven content systems for the Wise Assistant, collaborate across teams on strategy, elevate design quality, and coach content designers.

As a Principal AI Content Designer, you will lead content strategies, leverage AI to enhance customer support, and collaborate across teams to deliver impactful projects in FinCrime.

Lead development and deployment of machine learning models to detect and mitigate account takeover and send-scam threats. Analyze large datasets, design experiments, build real-time detection pipelines, collaborate with engineers and security analysts, and mentor junior data scientists to continuously improve fraud prevention.

Lead the AML Risk data science team to design, build, and deploy ML systems (unsupervised, semi-supervised, supervised, GenAI) for global AML detection. Hire and mentor specialists, develop detection controls, performance testing, decisioning layers, operational integrations, and maintain production-grade Python services and automated model pipelines.

Lead the fraud data science efforts: maintain and improve risk models, develop new ML features and intelligence, analyze data for risk patterns, collaborate with fraud investigators and engineers, and document and report model performance to reduce impact on legitimate customers.

Lead development of an AI-powered assistant and route-by-route activation strategy to convert first-time cross-border senders. Build scalable frameworks, run data-driven experimentation (A/B tests, funnels, cohorts), partner with engineering, compliance, pricing and regional teams, and guide designers and analysts to deliver localized, conversational transfer experiences that increase conversions and reduce customer effort.