Lead Tech Engineer - Python, SQL & Azure

Your role

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 may include:
• country lead of other Senior Engineers
• direct interaction with product owners and internal users to identify requirements, development of technical solutions and execution
• lead Development of 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

Your team

You will be part of the Data Product Framework team, which is a newly established function within Group Chief Technology Office. We provide solutions to help the firm embrace Artificial Intelligence and Machine Learning. We work with the divisions and functions of the firm to provide innovative solutions that integrate with their existing platforms to provide new and enhanced capabilities. One of our current aims is to help a data scientist get a model into production in an accelerated timeframe with the appropriate controls and security. We offer a number of key capabilities: data discovery that uses AI/ML to help users find data and obtain access a secure and controlled manner, an AI Inventory that describes the models that have been built to help users build their own use cases and validate them with Model Risk Management, a containerized model development environment for a user to experiment and produce their models and a streamlined MLOps process that helps them track their experiments and promote their models.

Your expertise

• PHD or Master’s degree in Computer Science or any related advanced quantitative discipline
• 10+ years industry experience with Python / Pandas, SQL / Spark, Azure fundamentals / Kubernetes and Gitlab
• additional experience in data engineering frameworks (Databricks / Kedro / Flyte), ML frameworks (MLFlow / DVC) and Agentic Frameworks (Langchain, Langgraph, CrewAI) is a plus
• experience in leading and mentoring other Senior Engineers
• ability to produce secure and clean code that is stable, scalable, operational, and well-performing. Be up to date with the latest IT standards (security, best practices). Understanding the security principles in the banking systems is a plus
• ability to work independently, manage individual project priorities, deadlines and deliverables
• willingness to quickly learn and adopt various technologies
• excellent English language written and verbal communication skills