JPMorgan Chase's Chief Data & Analytics Office (CDAO) is looking to accelerate the firm's AI and data journey by providing a central Machine Learning Platform. This platform aims to enable Data Scientists to efficiently explore, develop, and deploy AI models at enterprise scale and reliability, ultimately reducing the time to market for machine learning models.
Requirements
- Expertise in Kubernetes, Containers, CI/CD, and DevOps
- Expertise in the GPU lifecycle, observability, and optimization
- Expertise in Cloud computing and architecture
- Familiar with Data I/O optimization
- Familiar with the unique challenges of deploying and maintaining AI models
Responsibilities
- Seamlessly integrate the DevOps experience with the MLOps experience
- Lead optimization of AI infrastructure
- Drive the development of platform capabilities for streamlining the passage of models through the Model Development Lifecycle (MLOps), with the objective of reducing the time to market for a machine learning model
- Drive resource efficiency of centrally shared infrastructure and services
Other
- 5+ years of experience or equivalent expertise in product management
- Proven delivery of enterprise scale and reliability
- Excellent leadership and collaboration skills, with the ability to positively influence and inspire technology teams and stakeholders
- Strong agile mindset, able to iterate fast and give early feedback
- Strong track record of owning and developing a product domain strategy and roadmap
- Able to balance short-term goals and long-term vision in highly complex environments
- Demonstrated prior experience working in a highly matrixed, complex organization
