Job Description:

 This role, part of the Digital Intelligence team, offers opportunity in the financial services industry by developing impactful Machine Learning solutions

As a Applied AI ML Lead within the team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will have opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results.  

Job responsibilities

Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domainConduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organizationCommunicate effectively with both technical and non-technical stakeholdersBuild and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.Develop and maintain tools and framework for prompt-based model training, evaluation and optimizationAnalyze and interpret data to evaluate model performance to identify areas of improvement

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experienceExperience with prompt design and implementation or chatbot applicationStrong programming skills in Python with experience in PyTorch or TensorFlowExperience building data pipelines for both structured and unstructured data processing.Experience in developing APIs and integrating NLP or LLM models into software applicationsHands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.Excellent problem-solving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise mannerBasic knowledge of deployment processes, including experience with GIT and version control systemsFamiliarity with LLM orchestration and agentic AI librariesHands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment

Preferred qualifications, capabilities, and skills

Familiarity with model fine-tuning techniques such as DPO and RLHF.Knowledge of Java, SparkKnowledge of financial products and services including trading, investment and risk management