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    Generative AI Engineer - Milan, Italia - CAPCO

    CAPCO
    CAPCO Milan, Italia

    1 settimana fa

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    Descrizione

    Generative AI Engineer

    at Capco Italy - Milan

    Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

    About Capco

    Capco is a global technology and business consultancy, focused on the financial services sector. We are growing at fast pace in our Italian office, the opportunity for growth is large, accessible, and immediate. We are passionate about helping our clients succeed in an ever-changing industry. Capco is going through a significant growth journey, now is a very good time to join us as we expand our consulting team in Italy.

    Role Description:

    We are looking for a Generative AI Engineer to join our Data Analytics and AI team. You will be part of the GenAI workforce, responsible for defining strategy for Generative AI internally, and also helping shape and execute clients' AI transformation agendas. You should have a strong background in machine learning/deep learning/AI and software engineering, and extensive professional experience as either as a consultant or similar advisory corporate role.

    Responsibilities

  • Identify critical business problems that could be solved using Generative AI
  • Define strategy for Generative AI and how to apply it
  • Lead the design and build, and be responsible for engineering innovative GenAI products together with our cross-functional team
  • Continually iterate and scale Generative AI products, whilst listening to the needs of the clients. Create technical standards and blueprint for AI scenarios.
  • Educate the organization both from IT and the business perspectives on Generative AI.
  • Mentor and nurture other engineers to help them grow their skills and expertise
  • Skills and Experience

    Essential skills to succeed

  • Experience working with large-scale language models
  • Rich understanding of language models and transformers, vector stores and search algorithms
  • Large-scale ETL development and engineering experience of high performance, large-scale ML systems
  • Strong working knowledge of modern software development methodologies and software design pattern (e.g. end-to-end CI/CD process)
  • Ability to communicate technical concepts effectively to client and partner teams.
  • Confidence to convey technical advice and guidance to clients.
  • Bonus points

  • Financial services industry experience
  • Experience building applications and use appropriate prompting on generative AI models.
  • You are a contributor to opensource and always thinking out of the box tooling, using and standardizing with methods of creating APIs , ML/Ops automation and more.
  • Cloud fundamental or architecture accreditations
  • Why join Capco?

    You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

    We offer:

  • A work culture focused on innovation and building lasting value for our clients and employees
  • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
  • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
  • A diverse, inclusive, meritocratic culture
  • Location: Via Sassetti 32, Milano (MM Gioia/Isola)



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