Applied AI ML Associate

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