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 Commercial and Investment Bank, particularly in the Payments Technology division, you will play a crucial role in our agile team. Your responsibilities will include designing and delivering secure, stable, and high-quality ML/GenAI technology products. You will be tasked with implementing critical AI technology solutions across different technical domains and business functions, all aimed at supporting the firm's business objectives.
Job responsibilities
- Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Create secure and high-quality production level code and maintains algorithms that run synchronously with appropriate systems
- Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gather, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture systems.
- Contribute to software engineering communities of practice and events that explore new and emerging technologies
- Add to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on practical experience in ML/Gen AI based system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming language Python along with database querying languages SQL.
- Hands-on experience on ML and Gen AI based system development.
- Exposure to ML Techniques like Supervised and Unsupervised Learning methodologies & Exposure to LLM etc.
- Experience across the whole Software Development Life Cycle especially on Data Science.
- Experience with agile methodologies such as CI/CD, Application Resiliency, and Security.
Preferred qualifications, capabilities, and skills
- Exposure to cloud technologies like AWS/Azure/GCP
- Exposure to LLM models like Chat GPT, Google Bard etc.
- Exposure to Langchain, RAG and Fine Tuning of the LLM Models.
- Exposure to PySpark and Databricks for Data pipeline creation.
Top Skills
What the Team is Saying
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.
Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.
Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
