Machine Learning Engineer
Core
Build, train, and productionize machine learning models to detect financial crime risks and monitor model performance for customers.
Role type
Machine Learning Engineer
Builds
Intelligent services and ML-powered applications for financial crime prevention
Domain
Financial services / Anti-Money Laundering (AML) / Sanctions
Deliverable
production ML models
Required skills
Python, cloud platforms (AWS, Azure, GCP), containerized infrastructure (Kubernetes, Docker), event-driven architectures, microservices, system design, code maintainability
Preferred skills
PySpark, distributed data processing, map-reduce architectures, graph databases
Technologies
Python, Kotlin, TypeScript, React, Yugabyte, Spark, Kafka, gRPC, Databricks, Grafana, ArgoCD
Responsibilities
Build/train and productionize ML models, monitor model performance and feature drift, integrate models into data pipelines, design scalable backend services, collaborate on intelligent service design
Seniority
Mid-level, hands-on IC