Lead AI Applied ML Engineer
JPMorgan Chase
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This listing doesn't post a salary. Most similar roles pay $172,900–$254,750.
Based on 240 similar postings.
Employer
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has 1117 open roles on FindRole.
Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.
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At a glance
As a Senior Applied AI ML Engineer, you will join the team to design, build, and productionize risk typologies, data pipelines, supervised and unsupervised machine learning models, and LLM risk explainability. You will work at the intersection of risk modeling and NLP architectures to develop solutions for detecting AML risk, regulatory violations, transaction risks, and behavioral anomalies within high-volume banking transactions. Your daily responsibilities include building feedback measurement techniques, managing Databricks pipelines, and monitoring for drift or bias. The role requires expertise in Python, Java, SQL, and NoSQL, alongside experience with PyTorch, TensorFlow, SciKit, NeMo, and Huggingface Transformers. You will integrate models into cloud-scale microservices using AWS and Databricks while navigating complex domains like financial crime monitoring and inference optimization to ensure auditability and reliability for enterprise-grade applications.
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