Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Data Scientist Associate Senior at JPMorgan Chase within the Asset & Wealth Management , you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
Supports product managers, data scientists, ML engineers, and other stakeholders to understand requirements.
Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request. Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives. Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
Updates and implements monitoring mechanisms to track model performance in real-time and ensure model reliability.
Frequently conduct thorough evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications.
Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on Machine learning engineering concepts and 3+ years applied experience
Experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
Proficiency in programming languages like Python for model development, experimentation, and integration with Azure OpenAI API.
Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and Langchain/Llamaindex.
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures.
Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications.
Experience customizing changes in a tool to generate product
Preferred qualifications, capabilities, and skills
Familiarity with the financial services industries.
Expertise in designing and implementing AI/ML pipelines.
Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies, RAG.
A portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly 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. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
