Do you have a curious mind, want to be involved in the latest technology trends and like to solve problems that have a meaningful benefit to hundreds of users across the bank? Join our Tech Services- Group Chief Technology Office team and become a core contributor for the execution of the banks global AI Strategy, particularly to help the bank deploy AI models quickly and efficiently!

We are looking for an experienced Data Engineer or ML Engineer to drive the delivery of an innovative ecosystem of tools and services. In this AI focused role, you will contribute to the development of an SDK for
1) Data Producers across the firm to build high-quality autonomous Data Products for cross-divisional consumption and
2) Data Consumers (e.g. Data Scientists, Quantitative Analysts, Model Developers, Model Validators and AI agents) to easily discover, access data and build AI use-cases.

Responsibilities include:
• direct interaction with product owners and internal users to identify requirements, development of technical solutions and execution
• develop an SDK (Software Development Kit) to automatically capture Data Product, Dataset and AI / ML model metadata. Also, leverage LLMs to generate descriptive information about assets
• integration and publication of metadata into UBS's AI Use-case inventory, model artifact registry and
Enterprise Data Mesh data product and dataset catalogue for discovery and regulatory compliance purposes
• design and implementation of services that seamlessly collects runtime evidence and operational information about a data product or model and publishes it to appropriate visualization tools
• creation of a collection of starters/templates that accelerate the creation of new data products by leveraging a collection of the latest tools and services and providing diverse and rich experiences to the Devpod ecosystem.
• design and implementation of data contract and fine-grained access mechanisms to enable data consumption on a 'need to know' basis