Senior Associate Applied AI ML, Healthcare

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Seattle, WA
Posted: 17 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $210k

$150k most similar roles pay here $275k

This listing doesn't post a salary. Most similar roles pay $165,000–$254,750.

Based on 240 similar postings.

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About JPMorgan Chase

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

TL;DR · Senior Associate Applied AI ML, Healthcare

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Applied AI ML - Senior Associate - Healthcare serves as a Vice President and Applied AI/ML Lead within the Payments Technology team in the Commercial & Investment Bank. In this role, you will lead the end-to-end delivery of document extraction and natural language processing capabilities to improve trust, safety, and operational efficiency. You will design scalable model pipelines for ingestion, classification, and ranking while managing data strategy, production deployment, and evaluation metrics. The work focuses on extracting entities and signals from unstructured text within a regulated financial services environment. Required skills include Python, SQL, Spark, and machine learning frameworks like PyTorch or TensorFlow. You will also utilize cloud environments such as Amazon Web Services to manage model lifecycles, including monitoring and drift detection, while ensuring all processes meet strict risk and compliance standards.

Skills

Artificial Intelligence Machine Learning Natural Language Processing Python PyTorch TensorFlow SQL Spark Document Extraction Optical Character Recognition Distributed Processing

What you'll do

Own end-to-end delivery of document extraction and natural language processing solutions from initial sizing to production rollout.
Design scalable model pipelines for document ingestion, text extraction, classification, and ranking while balancing accuracy and cost.
Develop NLP algorithms to extract entities, relationships, and signals from unstructured text and documents.
Define evaluation strategies, success metrics, and robust testing protocols for model performance.
Establish model lifecycle practices including monitoring, drift detection, and incident response for production environments.
Partner with risk and compliance stakeholders to ensure audit-ready processes and explainable model behaviors.
Drive technical decisions through design reviews and code reviews to improve quality and delivery velocity.
Translate complex model behaviors into decision-ready business impacts for senior stakeholders.

What we're looking for

Formal training or certification in applied artificial intelligence and machine learning concepts.
3+ years of experience in applied AI/ML or NLP solutions with measurable outcomes in production.
Strong programming skills in Python and experience using frameworks like PyTorch or TensorFlow.
Hands-on experience with document extraction, text classification, and information extraction from unstructured data.
Experience designing data-driven solutions using SQL and distributed processing tools like Spark.
Experience deploying and operating machine learning services or pipelines in a cloud environment like AWS.
Ability to translate ambiguous business problems into structured machine learning plans and communicate technical tradeoffs to stakeholders.
Experience with OCR, transformer models, MLOps, or financial services environments (preferred).