Software Engineer III - ML Pipelines(Python, Pyspark , AWS)

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Risk Technology Portfolio team, you will be part of an agile team that builds and delivers trusted technology products in a secure, stable, and scalable way.

You will take ownership of technical deliverables, contribute to design decisions, and work across cloud, data, and machine learning domains to solve real business problems.

Job Responsibilities:


* Design, build, and maintain platform components that support end-to-end ML model lifecycle - from development and training to deployment and monitoring


* Develop and maintain data and feature pipelines that feed ML models in production


* Build and manage cloud-based infrastructure on AWS (including Databricks, EMR, ECS, and S3) to support model training and serving workloads


* Automate model deployment, testing, and release processes within the SDLC/MLOps toolchain


* Support migration of legacy ML workloads to cloud-native, scalable platforms with zero downtime


* Monitor platform health and model serving infrastructure; identify and resolve performance and stability issues


* Apply AI-assisted development tools and best practices to improve code quality and delivery speed


* Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.


* Collaborate with data scientists and model developers to understand requirements and translate them into reliable platform capabilities


* Contribute to a team culture of diversity, inclusion, and continuous improvement

Required Qualifications, Capabilities, and Skills:


* Formal training or certification in software engineering and 3+ years of applied experience


* Hands-on experience building and maintaining production data or ML pipelines


* Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.


* Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expect...