Machine Learning Engineer
Core
Build and own the model serving infrastructure, real-time inference, and feature retrieval systems for a fraud detection platform.
Role type
Senior Machine Learning Engineer (MLOps/Infrastructure)
Builds
Low-latency model serving platform for real-time fraud detection
Domain
Financial crime, fraud prevention, AML
Deliverable
production ML models
Required skills
Python, software engineering fundamentals, Kubernetes, cloud infrastructure (GCP), infrastructure-as-code, CI/CD, observability, drift detection, incident response
Preferred skills
Fraud/risk domain knowledge, Docker, modern browser APIs, LLM automation
Technologies
Python, Go, Kubernetes, GCP
Responsibilities
Build and optimize pipelines for raw signal to production-ready features; own production models including monitoring and retraining; support data scientists with deployment paths; debug model performance issues; champion security and compliance in regulated environments
Seniority
Senior, hands-on IC
