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    MLOps Engineer - New York, United States - Harnham

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    Description

    MLOps Engineer - LLMs

    REMOTE

    $160,000-180,000 base salary + equity + benefits

    Harnham is partnered with a dynamic fintech startup in the New York City area. They are looking for a Machine Learning Operations Engineer with a background in deploying and scaling large-scale ML/AI platforms using financial data. This person will sit in their Engineering team and partner with stakeholders across the business.

    THE ROLE

    • You will deploy machine learning and LLM models to support new and existing platforms in finance
    • You will report directly into the VP of Engineering and work closely on technical direction
    • Own development of new PoCs and quickly build into production, using millions of pages of data per project
    • You will implement and design code and build out to production using various machine learning and LLM techniques
    • Potential to grow into thought leader role for MLOps within the business

    YOUR SKILLS AND EXPERIENCE

    The successful MLOps Engineer will likely have the following skills and experience:

    • 4+ years of commercial experience preferred with a focus on deploying machine learning models
    • Experience working in a startup highly preferred
    • Heavy experience using Python (TensorFlow, PyTorch) for production-grade work
    • Commercial experience building novel AI platforms with large datasets
    • Cloud experience in AWS preferred
    • History of working on models from concept to production / end-to-end
    • Familiarity with advanced machine learning approaches relating to large language models / LLMs
    • Experience in settings wearing multiple hats
    • History of partnering with non-technical stakeholders a plus
    • BS or MS degree in Computer Science, Computer Engineering or similar

    THE BENEFITS

    A competitive base salary of $160,000-180,000 + benefits + equity

    HOW TO APPLY

    Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

    KEYWORDS

    Machine Learning | MLOps | Machine Learning Operations | Technology | LLMs | Large Language Models | Artificial Intelligence | Deployment | Production | Startup | AI | Artificial Intelligence | Fintech | AWS | Python


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