About the Role
You will develop high-performance feature computation and online inference pipelines for production machine learning systems. You will build monitoring, observability, and automated debugging capabilities, improve reliability, and deliver scalable fraud detection solutions.
Requirements
•6+ years of relevant experience building, deploying, and scaling production machine learning systems.
•Experience with ML infrastructure and operations, including deployment, monitoring, and reliability.
•Ability to independently deliver end-to-end machine learning engineering projects.
•Python proficiency.
•Experience with PyTorch, Spark, SageMaker, and Airflow.
Responsibilities
•Build and scale machine learning systems for fraud detection.
•Solve machine learning, data infrastructure, and production reliability challenges.
•Develop foundational machine learning capabilities for fraud detection.
•Collaborate with engineering, data science, and cross-functional partners.
Benefits
•Medical insurance
•Dental insurance
•Vision insurance
•401(k)
