Join JPMorgan Chase's Chief Data & Analytics Office (CDAO) and be part of a mission to modernize compliance through scalable and explainable AI. As a Machine Learning Engineer, you'll design and build systems that answer critical data usage questions with prediction, logic, proof, and intelligent automation. Work at the intersection of applied machine learning, AI reasoning systems, and data governance to tackle complex problems and build ML solutions that make decisions.
As a Machine Learning Engineer within JPMorgan Chase's Chief Data & Analytics Office (CDAO), you will:
* Design and build systems answering critical data questions with prediction, logic, proof, and automation.
* Build and integrate ML models into backend services, write production-ready Python code, and develop automated workflows.
* Collaborate with VP engineers and cross-functional teams to understand requirements and implement solutions.
* Participate in code reviews, quality assurance, and system improvements.
Job Responsibilities:
* Build and integrate ML models into APIs, pipelines, and batch processors.
* Write production Python code for model inference, validation, and logging.
* Develop automated workflows for data ingestion, deployment, and metadata tagging.
* Create dashboards, logs, or UI tools for visualization and debugging.
Required Qualifications, Capabilities, and Skills:
* Bachelor's degree in Computer Science, Software Engineering, or related field.
* Experience in software development, with exposure to ML/AI systems.
* Proficiency in Python; familiarity with web frameworks like Flask or FastAPI.
* Understanding of model inference, APIs, and data validation.
* Knowledge of Git, CI/CD, testing, and performance profiling.
* Ability to produce clean, maintainable, production-quality code.
Preferred Qualifications, Capabilities, and Skills:
* Master's degree or certifications in ML engineering, MLOps, or cloud infrastructure.
* Experience with data cataloging, tagging, or schema inference workflows.
* Knowledge of enterprise governance, compliance, or secure access systems.
* Interest in explainable AI, decision support tools, and policy engines.
J.P. Morgan's Commercial & Investment Bank is a global leader in banking, markets, securities services, and payments, serving clients in over 100 countries with strategic advice, capital raising, risk management, and liquidity services.
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