Lead Data Scientist
Core
Design, develop, and deploy enterprise-scale AI and machine learning solutions for real-time fraud detection and risk intelligence in the global payments ecosystem.
Role type
Senior hands-on IC Lead Data Scientist (AI/ML Engineering)
Builds
Production AI/ML models, scalable pipelines, and Generative AI/Agentic AI systems for fraud prevention.
Domain
Financial services / Cybersecurity / Fraud Detection
Deliverable
production ML models
Required skills
Python, Machine Learning, Generative AI, LLMs, RAG, Agentic AI, Spark, Databricks, MLOps, SQL
Preferred skills
Graph learning, Anomaly detection, LangChain, Hadoop, MLflow, Research publications
Technologies
Python, Spark, Databricks, Azure, AWS, GCP, LangChain, MLflow, Vector databases
Responsibilities
Lead design and deployment of ML models for fraud detection; Build scalable AI/ML pipeline architecture; Implement Generative AI and Agentic AI solutions; Work with large-scale transactional datasets; Implement MLOps best practices; Drive reusable AI platform design; Set technical direction for emerging AI technologies; Contribute to research papers and patents.
Seniority
Senior, hands-on IC with technical leadership
