Chase is looking to reshape the future by enabling AI/ML and Generative AI platform solutions within the Consumer & Community Banking division to support machine learning use cases across the business.
Requirements
- Master's/Bachelor’s degree in a STEM field and 6+ years of experience in designing and managing large-scale AI & ML platforms and supporting systems.
- Extensive practical experience with AWS cloud services, including EKS, EMR, ECS, and DynamoDB.
- Hands-on experience in Databricks ML lifecycle development.
- Advanced knowledge in software engineering, AI/ML, machine learning operations (MLOps), and data governance.
- Understanding of large language model (LLM) approaches, such as Retrieval-Augmented Generation (RAG) and agent-based models, is a plus.
- Real-time model serving experience with Seldon, Ray, or AWS SM is a plus.
Responsibilities
- Hands on code development to enable our AI/ML platform, ensuring robustness, scalability, and high performance.
- Adopt the best practices in software engineering, machine learning operations (MLOps), and data governance.
- Ensure compliance with data privacy and security regulations relevant to AI/ML solutions.
- Maintain consistent code check-ins every sprint to ensure continuous integration and development.
- Platform engineering to enable the Gen AI platform and develop the Gen AI Use cases, LLM finetuning and multi agent orchestration.
- Communicate technical concepts and solutions effectively across all levels of the organization.
Other
- Master's/Bachelor’s degree in a STEM field and 6+ years of experience in designing and managing large-scale AI & ML platforms and supporting systems.
- Equal Opportunity Employer/Disability/Veterans
- We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
