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    Senior Data Engineer - united kingdom, United Kingdom - CleeAI

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    Description

    Are you passionate about leveraging data to drive meaningful impact? Do you thrive in a collaborative environment, eager to tackle complex challenges alongside talented teams? If so, we have an exciting opportunity for you

    As a Senior Data Engineer at CleeAI, you'll be at the forefront of transforming raw data into actionable insights that power our decision-making processes and enhance user experiences. Collaborating closely with Software Engineers, Data Scientists, and Product Managers, you'll play a pivotal role in optimizing growth strategies and refining our products for our extensive user base.

    In this role, you'll have the chance to work with cutting-edge technologies and methodologies, all while contributing to a culture of innovation and excellence. Whether it's architecting robust data pipelines, optimizing data storage and retrieval systems, or implementing scalable solutions, your expertise will directly impact our company's success and our users' satisfaction.

    Join us as we embark on this thrilling journey of discovery and innovation. Together, we'll push the boundaries of what's possible with data engineering, shaping the future of AI

    Responsibilities:

    • Productionising and scaling Neo4j / graph databases / deep learning on knowledge graphs
    • Productionising open source LLMs
    • AWS Infrastructure - S3, SQS, ECS, RDS, Terraform and containerisation
    • Develop and maintain ETL pipeline infrastructure ideally with SQS / similar queueing communication mechanisms
    • Hardcore ETL especially with unstructured text
    • Productionising NLP models such as Hugging Face and spacy
    • Scraping infrastructure and execution

    Requirements:

    • Bachelor's or Master's degree in Mathematics, Computer Science, Engineering, or a related field.
    • 5 Years+ working as a data engineer ideally in a senior capacity
    • Strong experience of Python
    • Deep knowledge of NLP such as hugging face and spacy
    • AWS - ETL Processes (Glue, Lambda etc.), ECS, S3, Database Solutions (Redshift, RDS)
    • Vector Databases a big plus
    • Familiar with Graph Data Structure and Algorithms

    Benefits:

    • Competitive salary and benefits package, including health insurance, life insurance, enhanced employers pension contribution after probation.
    • Opportunities for professional development and career advancement.
    • A collaborative and inclusive work environment that values diversity and creativity.
    • Exciting projects and challenges that make a real impact on our business and industry.


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