Applied AI ML Associate

Job Description
We have an exciting and rewarding opportunity for you to take your AI ML career to the next level.
As an Applied AI ML Associate at JPMorgan Chase within the Commercial Bank Technology Team, you will leverage large-scale computation and scalable machine learning to uncover insight on the outputs of our grading models. Your expertise will promote the team to solve explainable problem, develop production prediction models, and manage ML Ops for building innovate systems that benefit our customers.
Job Responsibilities :

• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as Explainable AI, predictive time series analysis and recommendation systems
• Choose, extend, and innovate ML strategies for various banking problems
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Strategy and Business Management to deploy solutions into production
• Learn about and understanding our supported businesses in order to drive practical and successful solutions
• Solve explainable problem, develop production prediction models, and manage ML Ops

Required qualifications, capabilities, and skills

• Formal training or certification on AI ML concepts and 2+ years applied experience
• Good understanding of the latest advancement of Explainable AI concepts.
• Experience in classical ML techniques including classification, clustering, optimization, cross validation, data wrangling, feature selection, and feature extraction
• Ability to design experiments - establish strong baselines, choose meaningful metrics, and evaluate model performance rigorously
• Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
• Solid written and spoken communication skills

Preferred qualifications, capabilities, and skills

• Experience, as a Data Science lead, in driving projects end to end is preferred
• Experience in LLM, building RAG pipeline is preferred
• Experience in large scale Machine Learning system design is preferred
• Experience working with end-to-end pipelines consisting of Cloud services is preferred, preferably, with AWS ML ecosystem (i.e. SageMaker, etc.)
• GPU is preferred

About Us
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.
About the Team
J.P. Morgan's Global Banking business is one of the largest wholesale banking client franchises in the world. We serve clients, including corporations, governments, states, municipalities, healthcare organizations, education institutions, banks and investors.
Commercial Banking provides credit and financing, treasury and payment services, international banking and real estate services to clients-including corporations, municipalities, institutions, real estate investors and owners, and not-for-profit organizations.