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    Senior Tech Engineer - Zürich, Schweiz - UBS

    UBS
    UBS Zürich, Schweiz

    vor 4 Tagen

    Default job background
    Permanent Technik / Internet
    Beschreibung
    Your role
    We are looking for a senior engineer with experience in data engineering and machine learning that can lead the design and delivery of an ecosystem that facilitates the creation of AI Products


    Responsibilities include:

    • development of an SDK to automatically capture AI/ML model metadata and leverage LLMs to generate descriptive information about the asset.
    • integration and publication of model metadata into UBS's model inventory and dataset catalogues for discovery and regulatory compliance purposes.
    • design and implementation of an agent that collects runtime evidence and operational information about a model and publishes it to appropriate tools (e.g ML Flow).
    • creation of a collection of starters/templates that accelerate the creation of new AI Products by leveraging a rich collection of the latest tools and services.
    Your team

    You will be working in the Applied AI and ML team, which is part of a newly established function within Group Emerging Technology.

    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 helps a user access the data that they need in a secure 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 containerised lab 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


    Essential Skills :

    • python, pandas, FAST API
    • SQL
    • azure fundamentals, kubernetes
    • gitlab

    Desirable Skills :

    • databricks, unity catalog
    • backstage
    • ML Flow
    • open AI
    About us
    UBS is the world's largest and the only truly global wealth manager.

    We operate through four business divisions:
    Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors

    We have a presence in all major financial centers in more than 50 countries.

    How we hire
    We may request you to complete one or more assessments during the application process. Learn more

    Join us
    At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working.

    Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.

    From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone.

    We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success.

    Together we're more than ourselves. Ready to be part of and make an impact?
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