Staff ML Engineer - Real-Time Fraud Detection Leader Job at Appgate, Inc. in New
Appgate, Inc., New York, NY, United States
A leading technology company is seeking a Staff Machine Learning Engineer to architect large-scale ML systems for AI-driven fraud detection. This role combines deep learning expertise with engineering skills to develop and maintain end-to-end ML pipelines while collaborating closely with cross-functional teams. Ideal candidates have over 5 years of experience in ML or AI, particularly in fraud detection, along with strong proficiency in Python and various ML frameworks. This position offers an exciting opportunity to shape the future of fraud prevention in real-time.
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In Summary: A leading technology company is seeking a Staff Machine Learning Engineer to architect large-scale ML systems for AI-driven fraud detection . Ideal candidates have over 5 years of experience in ML or AI, particularly in fraud detection, along with strong proficiency in Python and various ML frameworks .
En Español: Una empresa líder en tecnología está buscando un ingeniero de aprendizaje automático para diseñar sistemas ML a gran escala para la detección del fraude impulsado por IA. Esta función combina experiencia en el aprendizaje profundo con habilidades de ingeniería para desarrollar y mantener tuberías end-to-end de ML mientras colabora estrechamente con equipos interfuncionales.
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In Summary: A leading technology company is seeking a Staff Machine Learning Engineer to architect large-scale ML systems for AI-driven fraud detection . Ideal candidates have over 5 years of experience in ML or AI, particularly in fraud detection, along with strong proficiency in Python and various ML frameworks .
En Español: Una empresa líder en tecnología está buscando un ingeniero de aprendizaje automático para diseñar sistemas ML a gran escala para la detección del fraude impulsado por IA. Esta función combina experiencia en el aprendizaje profundo con habilidades de ingeniería para desarrollar y mantener tuberías end-to-end de ML mientras colabora estrechamente con equipos interfuncionales.