Job Description

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of over $2.6 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world\'s most prominent corporate, institutional and government clients under its JPMorgan and Chase brands. Asset & Wealth Management: With client assets under supervision of $2.3 trillion and assets under management of $1.7 trillion, JPMorgan Asset & Wealth Management (AWM) is one of the largest asset and wealth managers in the world. Asset & Wealth Management offers global investment management in equities, fixed income, real estate, hedge funds, private equity, liquidity, and multi-asset solutions. It also provides trust and estate, banking and brokerage services to high-net-worth clients, and retirement services for corporations and individuals. About the role: As an AI engineer on NLP at JPMorgan Wealth Management, you will have the opportunity to work on state-of-the-art Language Modelling projects that will transform the operating model for the Wealth Management business. The key focus areas within this position will be on prompt engineering for Large Language Models (LLMs), and supporting the development and deployment of prompt-based models for various NLP tasks such as text classification, question answering, and language generation on a rich universe of financial and market data including unique datasets which can be leveraged to define the experiences for our clients and employees across the globe. At JPMorgan, you will be part of a world-class analytics community dedicated to skill development and career growth in analytics, data science, machine learning and beyond. AI Engineer - NLP: Responsibilities Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization Excellent communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs Develop and maintain tools and framework for prompt-based model training, evaluation and optimization Analyze and interpret data to evaluate model performance to identify areas of improvement Minimum Qualifications: Bachelor\'s degree or higher in Computer Science, Engineering or related field At least 3 years of experience in NLP and deep learning with recent exposure on prompt engineering on LLMs Experience with prompt design and implementation or chatbot application Programming skills in Python with experience in PyTorch or TensorFlow Thorough knowledge of deep learning concepts, including attention mechanisms, transformers, and language modelling Experience in data pre-processing, feature engineering, and data analysis Basic knowledge of deployment processes, including experience with GIT and version control systems for efficient collaboration and code management in MLOps projects Familiarity with data structures and algorithms, enabling effective problem-solving and optimization in machine learning workflows Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment Preferred Qualifications: Master\'s or PhD in Computer Science, Data Science or related field Experience in developing and deploying production-grade NLP models in the financial services industry Knowledge of financial products and services including trading, investment and risk management Familiarity with machine learning frameworks like scikit-learn and Keras Experience in developing APIs and integrating NLP models into software applications We recognize that our people are our strength and the diverse talents they bring to our global workforce are linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants\' and employees\' religious practices and beliefs, as well as any mental health or physical disability needs.

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