J.P. Morgan is seeking a Software Engineer with expertise in AWS and Python, and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will collaborate with the Applied AI/ML group and technology teams across the firm, contributing to both new and ongoing projects.

In this role, you will work alongside Data Scientists to build cloud-based frameworks for hosting machine learning models, providing software engineering expertise throughout the model development lifecycle. You will leverage both internal and external cloud platforms, utilizing proprietary and open-source tools to ensure models meet SDLC standards, are production-ready, and can be deployed efficiently. The position requires close interaction with platform developers, engineering communities, and the integration of existing and new technologies.

Job Responsibilities

• Develop and maintain high-quality applications using Python, Kubernetes, and AWS.
• Design and integrate AI/ML solutions into complex, domain-specific operations processing systems.
• Implement RESTful APIs and messaging applications to interface with upstream and downstream systems.
• Participate in code reviews, design discussions, and agile planning sessions.
• Collaborate with SRE and production monitoring teams to ensure system reliability and performance.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree or higher in Computer Science, Engineering, or a related field, or equivalent formal training/certification.
• Proven hands-on experience in Python application development.
• Familiarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock.
• Understanding of software development best practices, including version control, testing, and CI/CD.
• Strong problem-solving, communication, and collaboration skills; comfortable working in an agile team environment.