Overview
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 JPMorganChase within the Risk Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Responsibilities
* Executes research and experimentation with Large Language Models and other Generative AI technologies to solve complex risk technology challenges
* Produces scalable and production-ready AI systems that integrate with existing risk calculation frameworks
* Gathers, analyzes, and synthesizes insights from diverse data sets to improve AI model performance and risk assessment capabilities
* Writes secure and high-quality code using Python and relevant AI/ML frameworks
* Designs and implements AI solutions that enhance operational efficiencies across business and technology functions
* Design and develop fast, responsive and visually appealing user interfaces using React, HTML, and CSS, ensuring a seamless user experience.
* Implement and maintain reusable code and libraries for future use, ensuring consistency and efficiency in UI as well as backend development.
* Mentors junior team members in AI/ML technologies and approaches
* Participate in code reviews and provide constructive feedback to peers, fostering a culture of continuous improvement and learning.
* Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
* Formal training or certification on AI/ML applications, software engineering concepts and proficient applied experience
* Hands-on experience with Large Language Models (GPT, BERT, etc.)
* Strong understanding of Generative AI concepts and applications
* Proficiency in prompt engineering techniques
* Advanced Python programming skills
* Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face)
* Familiarity with cloud-based AI services (AWS, Azure, or GCP)
* Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages.
* Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
* Overall knowledge of the Software Development Life Cycle, with a focus on both front-end and back-end development processes and best practices.
* Strong communication skills to explain complex technical concepts
Preferred qualifications, capabilities, and skills
* Experience working in financial domain is a plus.
* Knowledge of model fine-tuning and Retrieval Augmented Generation (RAG)
* Experience with AWS/Databricks/Kubernetes/AI & ML.
* Experience with large-scale database technologies
* Previous experience applying AI solutions to business problems
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