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    Lead MLOps Engineer - New York, United States - Harnham

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    Description
    Lead MLOps Engineer

    New York, New York - Onsite

    $180,000-200,000 base salary + equity + benefits

    Harnham is partnered with an accounting tech 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 regulated data. This person will sit in their Engineering team and partner with stakeholders across the business.

    THE ROLE
    • You will deploy machine learning models to support new and existing platforms in accounting technology
    • You will report directly into the VP of Machine Learning and work closely on technical direction
    • Own development of new PoCs and quickly build into production, using regulated data across finance and insurance
    • You will implement and design code and build out to production using various machine learning techniques
    • Potential to grow into thought leader role for MLOps within the business
    YOUR SKILLS AND EXPERIENCE

    The successful Lead MLOps Engineer will likely have the following skills and experience:
    • 5+ years of commercial experience preferred with a focus on deploying machine learning models
    • Experience working in a startup or dynamic environment a plus
    • Fluent in 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 for applications with accounting, legal, insurance claims, fraud detection or other regulated domains
    • 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 $180,000-200,000 + benefits + equity

    HOW TO APPLY

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

    KEYWORDS

    Machine Learning | MLOps | Machine Learning Operations | Technology | Accounting | Legal | Artificial Intelligence | Deployment | Production | Startup | AI | Artificial Intelligence | Fintech | AWS | Python | Finance | Insurance Claims | Fraud Detection

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