Applied AI/ML Senior Associate

Join the risk technology team and deliver trusted market-leading technology products in a secure, stable, and scalable way.

As an Applied AI/ML Senior Associate within JPMorgan Chase's Corporate Technology-Risk Technology team, you will 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 software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems



* Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems



* 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, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills



* Formal training or certification in software engineering concepts, plus5+ years of applied experiencebuilding production Python systems, including web/API services (Flask or FastAPI ) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy , PyTorch or TensorFlow).



* Demonstrated experience taking machine learning modelsfrom prototype to production- training, packaging, deployment, monitoring, retraining, and decommissioning - in real-world business applications.



* Proven experience working withlarge datasets and distributed compute(Spark / Databricks or equivalent), with SQL fluency and an understanding of partitioning, performance, and cost.



* Hands-on practical experience acrosssystem design, application development, testing, and operational stabilityfor services that run on a daily production schedule.



* Experience developing, debugging, and maintaining code in alarge corporate environment, using modern programming languages and database query languages, with disciplined use of version control and code review.



* Working knowledge ofLLM application patterns- prompt design, retrieval-augmented generation (RAG), embeddings and vector search, structured output, and tool/function calling.



* Experience withagentic AI frameworks- multi-agent orche...