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Updata One

AI Engineer

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    Tech Stack / Requirements

    Are you eager to dive into the deep end of AI and move beyond just consuming models – to actually building them?

    We’re looking for an AI Engineer who’s keen to get their hands dirty in solving complex R&D challenges, architecting intelligent systems, and developing robust Python-based frameworks for scalable AI services.

    You’ll be joining a flexible, multidisciplinary team that includes a visionary VP of AI & Data Solutions, several ace Python Developers with a physics background who fell in love with AI, a savvy Linguist fluent in syntax, semantics and annotation pipelines, and an even savvier Knowledge Manager with a knack for meaning and order.

    About the Company

    We’re an award-winning R&D company that builds artificial intelligence solutions to transform unstructured data into structured knowledge and insights. By fusing AI-driven technologies with domain-specific human expertise, our solutions make sense of any type of textual data on a multi-language basis.

    What You’ll Be Up To:

    • Design, implement and maintain AI-based pipelines for tasks like information extraction, narrative analysis, semantic search, and more;
    • Train all types of classification models and integrate them in production systems;
    • Contribute to the internal frameworks that keep our models trained, evaluated, versioned and humming in production;
    • Keep up with the recent developments in AI (papers, open-source releases, new architectures) and bring relevant innovations into our stack;
    • Our day-to-day tools of the trade? Jira and GitLab – so familiarity with these will smooth your transition.

    Skills That Will Give You An Edge:

    • Hands-on experience with pandas, scikitLearn, spaCy, transformers, LangChain and their many cousins;
    • An in-depth understanding of Large Language Models – because, let’s face it, right now they’re essential;
    • A keen interest in MLOps – from tracking experiments to building reproducible pipelines (strong bonus!);
    • Fluent in Python – you write clean, modular code, test it like a skeptic, and document it like someone else might actually read it;
    • You’re naturally curious and always eager to learn new things.

    If you like the sound of this and you think that both we and you tick the boxes, send us your CV.