Fraud AI/ML Data Scientist
Core
Design and develop machine learning models for anomaly and fraud detection, utilizing Generative AI and foundation models to enhance investigative workflows and support risk scoring across structured and unstructured data.
Role type
Senior IC machine-learning engineer (fraud detection & Generative AI)
Builds
Production ML models, alert enrichment systems, and investigative decision-support tools for fraud and anomaly detection
Domain
Financial services / Fraud detection / Generative AI
Deliverable
production ML models
Required skills
Machine learning (supervised/unsupervised), Natural Language Processing (NLP), Graph analytics, Generative AI and foundation models, Python, SQL, AWS-native services, Apache Spark, Model evaluation and explainability
Preferred skills
RAG implementation, Multimodal data processing, OCR/ICR pipelines, Graph databases, Explainable AI (XAI), Dashboard design
Technologies
AWS (S3, Glue, Lake Formation, Athena, EMR, Redshift, SageMaker, Bedrock, Lambda, Step Functions, OpenSearch, ECS/EKS, CloudWatch), PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, Apache Iceberg, Apache Spark
Responsibilities
Partner with stakeholders to define AI use cases, develop anomaly/fraud detection analyses using various ML techniques, integrate models into production environments, evaluate model performance and explainability, support dashboard development, and communicate findings to technical and non-technical audiences
Seniority
Senior, hands-on IC
