Principal ML Engineer — Real-Time Fraud Detection Lead

AppGate; New York (NY); On-site; USD 220,000 - 265,000; Full time

Job summary

A leading technology company based in New York is seeking a Principal Machine Learning Engineer to drive the design and development of an AI-driven fraud detection platform. The ideal candidate will architect large-scale ML systems, lead technical initiatives, and mentor teams. Candidates should have 5+ years of experience in ML/AI, particularly in fraud detection, with expertise in Python and various ML frameworks. This role also demands collaboration with cross-functional teams to ensure model performance and governance.

Qualifications

• 5+ years of experience building ML or AI systems in production.
• Proven track record designing and maintaining ML pipelines at scale.
• Experience with big data and distributed systems.

Responsibilities

• Architect and build scalable ML systems for fraud detection.
• Develop and maintain end-to-end ML pipelines: data ingestion to monitoring.
• Collaborate closely with engineering, security, and risk teams.

Skills

Python

ML frameworks (PyTorch, TensorFlow, scikit-learn)

Supervised / unsupervised learning

Anomaly detection

Statistical modeling

Big data systems (e.g., Spark, Kafka, Flink)

Cloud platforms (AWS, GCP, Azure)

Containerized deployments (Docker, Kubernetes)

Collaboration and communication skills

Job description

A leading technology company based in New York is seeking a Principal Machine Learning Engineer to drive the design and development of an AI-driven fraud detection platform. The ideal candidate will architect large-scale ML systems, lead technical initiatives, and mentor teams. Candidates should have 5+ years of experience in ML/AI, particularly in fraud detection, with expertise in Python and various ML frameworks. This role also demands collaboration with cross-functional teams to ensure model performance and governance.