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Senior Lead Software Engineer - ML Engineer

JPMorgan Chase · jpmorganchase.com
Jersey CityLead / Manager5+ yrs
Apply on JPMorgan Chase’s site

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From tomorrow’s email

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The job in short

Machine learning engineering.

PythonJavaC++ScalaDatabricksAWSLLMMachine learning

Details

Found
20 d ago · posted 2026-08-28
Location as listed
Jersey City, NJ, United States
Role
Machine Learning / AI Engineer
Source
The company’s own careers site

Full description

Build and deliver scalable, production-grade data and cloud solutions for regulatory model applications and modernization initiatives at JPMorganChase. This hands-on individual contributor role focuses on engineering with PySpark/Python on Databricks (DBX) and AWS, partnering with cross-functional teams to design, implement, and support reliable systems; strong candidates may also bring experience enabling AI agent development. As a Lead Software Engineer (Individual Contributor) at JPMorganChase within Corporate & Enterprise Technology, you will build and deliver scalable data and cloud solutions for regulatory model applications and modernization initiatives. You’ll be hands-on across design, development, and production support, leveraging PySpark/Python, Databricks (DBX), and AWS, and collaborating closely with cross-functional partners. Job Responsibilities • Design, develop, and deploy regulatory model applications and cloud modernization solutions. • Build scalable distributed data processing solutions using PySpark/Python and Databricks (DBX). • Implement secure, resilient AWS-based architectures and integration patterns. • Write high-quality code, tests, and documentation; contribute to reviews and release readiness. • Communicate architecture and delivery plans through clear technical documentation and tech decks. • Partner with product, data, model, and platform teams to deliver outcomes on time. Required qualifications, skills, and capabilities • 5+ years of software engineering experience and strong CS fundamentals • Strong hands-on experience with PySpark, Python, Databricks (DBX), and AWS. • Experience building and operating production-grade systems (quality, reliability, observability). • Strong communication skills; ability to work in dynamic, ambiguous environments. Preferred Qualifications, Capabilities, and Skills • C++, Scala, and/or Java experience. • Data engineering experience; ML exposure is a plus. • Strong candidates: experience enabling or building AI agent development (LLM-enabled workflows/orchestration, evaluation/guardrails). • Advanced degree in Computer Science or related field.

Machine Learning / AI Engineer jobs in Jersey City, New Jersey · Machine Learning / AI Engineer jobs in the United States · All JPMorgan Chase jobs

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