Applied AI Research Scientist
Core
Design and deploy foundation models for real-time fraud detection using behavioral data, device intelligence, and consortium signals.
Role type
Applied AI Research Scientist (Foundation Models)
Builds
Next-generation fraud foundation models and production inference pipelines
Domain
Financial crime, fraud prevention, AML
Deliverable
production ML models
Required skills
deep learning, foundation model pretraining, fine-tuning, model serving, Python, SQL, large-scale dataset preparation
Preferred skills
fraud/AML domain knowledge, LLM-based agents, representation learning, model risk management
Technologies
Python, SQL, GPU infrastructure, embedding stores
Responsibilities
Scope and execute foundation model R&D roadmap, own evaluation benchmarks and monitoring, manage full model lifecycle from tokenization to deployment, partner with engineering on production scale, collaborate with clients on model decisions, work with compliance on explainability and governance
Seniority
Senior, hands-on IC
