JOB DESCRIPTION We have an exciting and rewarding prospect 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 Gen AI 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 opportunity inclusion and respect Required qualifications capabilities and skills Formal training or certification on software engineering concepts and 3 years of 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 such as 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 Must have Exposure to 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 Lang chain RAG and Fine Tuning of the LLM Models Exposure to PySpark and Databricks for Data pipeline creation MCA B Tech Engineering ABOUT US