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    Artificial Intelligence Consultant - London, United Kingdom - WNTD

    WNTD
    WNTD London, United Kingdom

    1 month ago

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    Default job background
    Technology / Internet
    Description
    Job Introduction
    Join our partners Data & AI Consultancy Practice as a Data and AI IT Expert Principal (Principal Consultant). This position will mostly be remote but will require regular travel across the UK.

    You will work on a range of enterprise-level projects, both before and after sales, engaging in the design and implementation of complex solutions.

    The role demands both team collaboration and individual contribution, providing robust solutions for our clients.

    Role & Responsibilities

    The ideal candidate should have a profound background in data science, artificial intelligence, and machine learning, focusing on NVIDIA technologies and other high-performance computing architectures.

    This role is critical in helping develop and implement solutions that meet client-specific data and AI use cases, optimizing performance across various platforms.

    Design, implement, and optimize AI architectures for diverse applications, ensuring optimal performance on NVIDIA GPUs.
    Collaborate with technical and sales teams to integrate AI capabilities into our solutions, driving innovation and delivering cutting-edge solutions.

    Stay updated with the latest developments in AI and machine learning, applying new techniques and tools to solve complex problems.

    Excellent customer-facing and presentation skills to propose solutions that enhance client efficiency and scalability.

    Required Skills
    Expertise in AI, machine learning algorithms, and frameworks like TensorFlow and PyTorch.
    Proficiency in NVIDIA CUDA, C++, Python, and relevant data processing frameworks.
    Experience in GPU computing and familiarity with high-performance architectural components.
    Ability to develop and deploy AI models in production environments, ideally on NVIDIA platforms.

    Desirable Skills
    Experience with cloud data technologies like Snowflake and Databricks.
    Familiarity with data governance and various computing architectures (Edge, Datacenter, Cloud).

    Accreditations
    Technical certifications in Nvidia software and hardware are preferred.

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