Senior AI Engineer
Core
Build and maintain AI/ML models and data pipelines to detect fraud, cyber-attacks, and suspicious activity in real-time for the global payments ecosystem.
Role type
Senior IC AI Engineer (Fraud Detection & MLOps)
Builds
Production fraud detection models, data pipelines, and monitoring systems for Mastercard's Safety Net product.
Domain
Financial Services / Cybersecurity / Payments
Deliverable
production ML models
Required skills
Python, PySpark, SQL, distributed data processing, feature engineering, large-scale data processing, Databricks, Airflow, Hadoop, Linux/Unix, cloud-native technologies, machine learning, deep learning, model deployment, MLOps, CI/CD
Preferred skills
Generative AI, LLMs, RAG, agentic AI applications, AI-assisted development tools, cloud-based data and AI environments
Responsibilities
Support machine learning models for cyber-attack and fraud detection; Create data pipelines and feature engineering workflows; Process and analyze large-scale datasets; Strengthen monitoring, observability, and drift detection; Apply automation and MLOps practices; Develop AI-powered solutions to streamline operational processes; Partner with Data Scientists, Engineers, and Product teams.
Seniority
Senior, hands-on IC
