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    Senior Data Engineer - Cambridge, United States - Evolution Recruitment Solutions, USA

    Evolution Recruitment Solutions, USA
    Evolution Recruitment Solutions, USA Cambridge, United States

    1 week ago

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    Description

    AI Focused Start Up: Senior Data Engineer with AI focus (Cambridge, MA - 2 days onsite)

    SPONSORSHIP UNAVAILABLE

    $160,000-170,000

    Evolution is partnering with a cutting-edge AI-focused startup dedicated to revolutionizing the healthtech industry through the power of artificial intelligence. Founded by a team of seasoned AI experts and entrepreneurs, their mission is to harness the latest advancements in AI technology to solve complex challenges and drive innovation across the healthtech sector.

    They are seeking a highly skilled Senior Data Engineer with a specialized focus on Artificial Intelligence (AI) to join their dynamic team. The ideal candidate will be responsible for designing, developing, and implementing AI-driven solutions to enhance the data infrastructure and drive actionable insights from large and complex datasets.

    Day to Day..

    • Collaborate with cross-functional teams to understand business requirements and design AI-powered solutions that address complex data challenges.
    • Develop and deploy scalable data pipelines and machine learning models to extract, transform, and load (ETL) data from various sources.
    • Design and optimize data architectures to support AI-driven applications, ensuring scalability, reliability, and performance.
    • Implement cutting-edge algorithms and techniques for data pre-processing, feature engineering, and model training.

    Essential..

    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
    • 5+ years of experience in data engineering, with a focus on AI, machine learning, and deep learning technologies.
    • Proficiency in Python, and experience with data processing frameworks like Apache Spark, TensorFlow, or PyTorch.
    • Strong understanding of distributed computing principles and experience with cloud platforms such as AWS, Azure, or Google Cloud.
    • Proven track record of designing and implementing end-to-end data pipelines, from data ingestion to model deployment.
    • Solid knowledge of SQL and NoSQL databases, data warehousing concepts, and data modeling techniques.
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