A great opportunity to make an impact by building cutting edge Artificial Intelligence and Machine Learning solutions to drive business growth 

As a Senior Data Scientist Associate at JPMorgan Chase  within the Asset and Wealth Management Technology team, your role will be instrumental in transforming the operating model for the Wealth Management business through state-of-the-art Language Modelling projects. Your primary responsibilities will include prompt engineering for Large Language Models (LLMs), and aiding in the development and deployment of prompt-based models for various Natural Language Processing tasks such as text classification, question answering, and language generation. You will have the opportunity to work with a vast array of financial and market data, including unique datasets, to shape the experiences of our clients and employees worldwide. As part of a world-class analytics community, you will have ample opportunities for skill development and career growth in analytics, data science, machine learning, and beyond.

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 fieldCollaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organizationEffectively communicate technical concepts to both technical and non-technical stakeholdersBuild and maintain data pipelines and data processing workflows for prompt engineering on LLMsDevelop 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 in NLP and deep learning with recent exposure on prompt engineering on LLMsExperience with prompt design and implementation or chatbot applicationProgramming skills in Python with experience in PyTorch or TensorFlowThorough knowledge of deep learning concepts, including attention mechanisms, transformers, and language modellingExperience in data pre-processing, feature engineering, and data analysisExcellent 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 systems for efficient collaboration and code management in MLOps projectsFamiliarity with data structures and algorithms, enabling effective problem-solving and optimization in machine learning workflowsHands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environmentsUnderstanding of the software development lifecycle, with a focus on incorporating machine learning components and adhering to best practices in version control and code quality

Preferred qualifications, capabilities, and skills

Master’s or PhD in Computer Science, Data Science or related fieldExperience in developing and deploying production-grade NLP models in the financial services industryFamiliarity with machine learning frameworks like scikit-learn and KerasExperience in developing APIs and integrating NLP models into software applications