Job Description

JOB DESCRIPTION

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 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 LLM models like ChatGPT, Google Bard, Claude models etc. Exposure to Lang chain, RAG and Fine Tuning of the LLM Models. Exposure to AWs/Azure ML platforms M Tech/B Tech Engineering

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