Senior Production Machine Learning Engineer

About the opportunity

Architect real-time risk assessment, checkout optimization, and automated dispute resolution models.

What you will do

• check_circle Develop high-throughput gradient boosting and neural network models evaluating credit card risks in real time.
• check_circle Construct zero-downtime shadow testing and canary deployment tooling for mission-critical payment models.
• check_circle Engineer real-time streaming feature aggregation pipelines with Apache Flink and DynamoDB.
• check_circle Conduct adversarial attack simulations to defend against emerging automated fraud rings.

What we are looking for

• arrow_circle_right 5+ years building and managing high-availability production machine learning services.
• arrow_circle_right Solid experience with Python, Scala or Java, and low-latency distributed microservices.
• arrow_circle_right Deep understanding of real-time feature engineering, streaming systems, and model observability.

Skills & Tech Stack