Applied AI ML Associate Senior - Data Scientist

Job Description

As an Applied AI ML Associate Senior 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 Supports and a ctively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments domain. Design, develop, and deploy machine learning and AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency. Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request Updates logical or physical data models based on new use cases. Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards. Adds to team culture of diversity, equity, inclusion, and respect. Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders. Required qualifications, capabilities, and skills Formal training or certification on data science concepts and 2+ years applied experience Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required. Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential. Extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM),or Computer Vision and other machine learning techniques, including classification, regression algorithms. Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and advancements in these domains. Proficient in both basic and advanced exploratory data analysis (EDA), with an understanding of the limitations and implications of different methodologies. Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes. Preferred qualifications, capabilities, and skills Familiarity working with one or more LLM frameworks like langchain / llamaindex / langgraph / crewAI Familiarity with one or more python API frameworks like FastAPI/Flask/Django