JOB DESCRIPTIONWe 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.
ABOUT US
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