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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 Asset & Wealth Management, 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.


Job responsibilities


  • Executes standard AI/ML/LLM software solutions, design, development, and technical troubleshooting.
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Adds 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
  • Experience working with Large Language Models (LLM)/GenAI technology like OpenAI API, (GPT models), HuggingFace models etc. having solid understanding of Transformers architecture.
  • Experience in Natural Language Processing and NLP tools and libraries like Spacy
  • Experience in building, evaluating and deploying Machine learning Models into Production
  • Advanced proficiency in developmental toolsets especially in relation to Python
  • Good Experience in Java development, cloud deployments and in continuous delivery and DevOps tooling

Preferred qualifications, capabilities, and skills


  • Experience in web application development and frameworks

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