Senior Applied AI ML Engineer
JPMorgan Chase
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This listing doesn't post a salary. Most similar roles pay $192,050–$246,150.
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 the Lead AI Applied ML Engineer, you will lead a team of engineers to design, build, and productionize risk typologies, data pipelines, and supervised and unsupervised machine learning models. You will develop LLM solutions for risk explainability while managing high-volume banking transaction monitoring to detect AML risks, regulatory violations, and behavioral anomalies. Your daily work involves building feedback systems, monitoring for drift or bias, and developing features within Databricks. 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 infrastructure. This position operates at the intersection of risk modeling and NLP architectures to solve complex problems regarding transaction monitoring, auditability, and automated detection of financial misconduct within a large-scale production environment.
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