Software Engineer III – Applied AI/ML Python Software Engineer
This role focuses on bridging machine learning model development with cloud-based production systems, requiring deep expertise in Python and AWS to design scalable, production-grade ML pipelines and frameworks. The engineer will collaborate with data scientists and platform teams to ensure seamless model deployment, integration, and adherence to software development lifecycle standards.
Skills required
About this role
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.
