AI Engineer - FDE (Forward Deployed Engineer) @Databricks

    17 days ago·Databricks is hiring a remote AI Engineer - FDE (Forward Deployed Engineer)·📍 United Kingdom

    Overview

    The AI Forward Deployed Engineering (AI FDE) team at Databricks is a specialized customer-facing AI team dedicated to delivering professional services engagements to assist customers in building and productionizing innovative AI applications. This role involves collaboration with various internal teams to drive long-term strategic initiatives.

    Key Responsibilities

    • Develop cutting-edge Generative AI (GenAI) solutions to address customer problems.
    • Own the production rollouts of both consumer and internal-facing GenAI applications.
    • Serve as a trusted technical advisor to customers across diverse domains.
    • Present at conferences and act as a thought leader both internally and externally.
    • Collaborate with product and engineering teams to influence priorities and shape the product roadmap.

    Requirements

    • Experience in building GenAI applications, utilizing tools such as HuggingFace and LangChain.
    • Expertise in deploying production-grade GenAI applications and optimization techniques.
    • Hands-on industry data science experience with tools like pandas, scikit-learn, and PyTorch.
    • Experience in building machine learning deployments on AWS, Azure, or GCP.
    • Graduate degree in a quantitative discipline or equivalent practical experience.
    • Ability to communicate technical concepts effectively to varied audiences.
    • Passion for collaboration and lifelong learning in the AI field.
    • [Preferred] Experience with the Databricks Intelligence Platform and Apache Spark™.

    Benefits

    Databricks offers comprehensive benefits and perks tailored to meet the needs of all employees. For specific details regarding benefits, please check the website.

    Location

    This is a remote role, but candidates must be based in the United Kingdom.

    How to Apply

    To apply for this position, please visit the Databricks career page.

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