Data Science Associate - Artificial Intelligence Engineer NLP

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Senior Data Scientist Associate within the Asset and Wealth Management Technology team at JPMorgan Chase, you will be instrumental in transforming 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 enhance the experiences of our global clients and employees. 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 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
 Communicate effectively with both technical and non-technical stakeholders, demonstrating excellent communication skill
 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

Required qualifications, capabilities, and skills
 Formal training or certification on software engineering concepts and 3+ years applied experience
 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
 Excellent problem-solving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner
 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 environments
 Understanding 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
 Masters 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,