JPMorgan Marketing Business Modeling - Applied AI ML Lead 

United States, Texas, Plano 

231882780

Job Responsibilities:

• Guide a dedicated AI team to explore advanced ML and AI techniques such as, LLMs, generative AI, agentic systems, to address strategic Consumer and Community Banking challenges in front-to-back modeling.
• Architect and implement state-of-the-art machine learning pipelines, scalable services, and APIs using Python, PySpark, DBX, and more.
• Research, prototype, deploy, and monitor ML models, including classification, regression, transformer-based LLMs, and multi-modal agentic workflows.
• Work with Product, Consumer Banking, Finance, Compliance, Technology, Legal, and CDAO to deliver AI and ML-powered automation, agents, and decision support.
• Ensure robust model risk documentation, regulatory compliance, fair and responsible AI, monitoring, and version control frameworks.
• Coach a hybrid team of ML engineers, data scientists, and research technologists, fostering best practices in MLOps and Python-driven experimentation.
• Translate model outputs into business KPIs, deliver performance insights to senior leadership, and drive ROI and adoption across CCB.

Required qualifications, capabilities, and skills:

• Master's in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field; 5+ years in the industry as a data scientist/ML engineer, including lead roles building AI/ML applications in tech or financial services.
• Proficiency in Python, PyTorch, TensorFlow, Scikit-learn, Jupyter; hands-on with LLM agent frameworks, deep learning (CNNs, transformers), exploratory data analysis.
• Experience with MLOps, model monitoring, cloud (AWS, Azure), Spark/PySpark, or Databricks.
• Understand data structures, algorithms, scalable system design, and production practices.
• Familiarity with prompting techniques, fine-tuning, multi-modal agent workflows, APIs for LLMs.
• Strategic thinking, clear communication across technical and non-technical audiences, ability to translate OKRs, mentor teams, and influence stakeholders.

Preferred qualifications, capabilities, and skills:

• PhD preferred for deep-Lab/agentic use cases
• Experience in financial institution environments.
• Publications or patents in ML/AI, particularly agentic or generative systems.
• Familiarity with Responsible AI frameworks: fairness, bias mitigation, explainability.
• Domain experience in marketing, forecasting, media.