JPMorgan Chase - Jersey City, NJ
posted 5 months ago
Join the AI/ML Data Platforms team at JPMorgan Chase to build innovative products that drive MLOps, automated governance, and ML data development, aimed at accelerating a diverse and broad portfolio of AI/ML projects within one of the largest financial services firms globally. As a Software Engineer III, you will be instrumental in developing a suite of products that encompass MLOps, ModelOps, and ML data development, which are essential for the enterprise-scale ML ecosystem at JPMC. You will collaborate with a talented team of system architects, engineers, product managers, data scientists, and researchers across various business lines and functions. In this role, you will work on several new systems, including model repository/registry, feature registry, automatic model promotion policy engine, and governance tools for models and GenAI. Your contributions will help enhance the user experience and ensure sound governance in AI/ML initiatives at JPMC. You will leverage cloud technologies and microservices architecture patterns to develop new products, identify open-source libraries, and learn new programming languages to meet technical requirements. Your responsibilities will also include executing software solutions, designing and developing applications, and troubleshooting technical issues with innovative approaches. You will create secure, high-quality production code and maintain algorithms that operate synchronously with relevant systems. Collaborating with system architects, you will contribute to the architecture across the technology stack, from databases to native applications. Your role will involve creating rapid prototypes and full-scale applications, working iteratively through design and development to deliver functional applications that align with business goals. Additionally, you will analyze and visualize large, diverse data sets to drive continuous improvement in software applications and systems, proactively identifying hidden problems and patterns in data to enhance coding hygiene and system architecture. You will also contribute to software engineering communities and foster a culture of diversity, equity, inclusion, and respect within the team.