Data Science Specialist
Core
Design, develop, evaluate, and deploy scalable Machine Learning and AI systems for fraud prevention, chargeback risk, and credit card payment risk in a global fintech environment.
Role type
Senior IC AI Engineer / Machine Learning Specialist
Builds
Production-grade AI solutions, APIs, data pipelines, and services for fraud and risk management
Domain
Fintech / Payments / Fraud Prevention
Deliverable
production ML models
Required skills
Machine Learning modeling (XGBoost, Random Forest, Decision Trees), Python programming, Cloud platforms (AWS, GCP, Azure), CI/CD pipelines (GitHub Actions), Data engineering concepts (ETL, pipelines), ML system monitoring and logging
Preferred skills
Neural networks, Containerization (Docker), MLOps collaboration, Financial services domain knowledge
Technologies
XGBoost, Random Forest, Decision Trees, Python, AWS, GCP, Azure, GitHub Actions, CloudWatch, DataDog
Responsibilities
Own end-to-end design and deployment of ML/AI solutions; Develop and optimize classical ML models for fraud and risk; Build production-grade AI applications and services; Implement CI/CD pipelines for model updates; Troubleshoot production AI/ML systems; Mentor team members on ML best practices
Seniority
Senior, hands-on IC
