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 Risk Technology, 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

 

Proactively develop an understanding of key business problems and processes. Execute tasks throughout the model development process, including data wrangling/analysis, model training, testing, and selection. Generate structured and meaningful insights from data analysis and modeling exercises, and present them in an appropriate format according to the audience. Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions. Conduct ad-hoc and periodic analysis as required by business stakeholders, the model risk function, and other groups. 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 Hands-on practical experience in ML projects, both supervised and unsupervised. Proficient programming skills with Python, including libraries such as NumPy, pandas, and scikit-learn, as well as R. Solid understanding and usage of the OpenAI API. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience with data and model serving using Flask, FastAPI, and Kubernetes. Familiarity with other tools such as agent-based modeling frameworks (e.g., Reflection), Terraform, and Airflow. Demonstrated experience working with large and complex datasets. Experience in anomaly detection techniques and applications. Excellent problem-solving, communication (verbal and written), and teamwork skills. ⁠Experience with deep learning frameworks such as TensorFlow and PyTorch.

Preferred qualifications, capabilities, and skills

Experience with databases, including SQL (Oracle, Aurora), Chroma DB, and Vector DB Familiarity with version control systems such as Bitbucket and GitHub. Experience with graph analytics and neural networks.Experience with big data frameworks, with a preference for Spark, Hadoop, or Databricks. Experience with CI/CD and DevOps practices, particularly using AWS or Azure pipelines. Experience working with engineering teams to operationalize machine learning models. Familiarity with the financial services industry.