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    Software Engineer - Spring, United States - HP

    HP
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    Description


    As a Software Engineer – Machine Learning, you will work to rapidly develop AI-powered software applications, especially internal business applications.

    You will work closely with data scientists and other software engineers using the latest tools and technologies.


    Below is a description of responsibilities, but this role will require the flexibility to adapt to other duties and responsibilities as needed.

    Responsibilities

    Lead the productionalization efforts of an AI/ML solution
    Work closely with the project team (project lead, data scientists, other engineers) and with business stakeholders to understand requirements and design an AI/ML solution accordingly
    Hands-on development of the solution: writing clean maintainable code, configuring infrastructure (automations, monitoring, CI/CD, etc.)
    Provides subject matter expertise to the rest of the team, e.g. proactively looking for opportunities to streamline the solution development process
    Provides guidance and mentoring to less-experienced team members in the same function

    Skills And Profile

    Prior software engineering experience with business applications in a cloud environment.
    Prior experience deploying, monitoring, and maintaining AI/ML applications in production
    Prior experience creating and maintaining machine learning modeling infrastructure
    Proficient in Python for production applications

    Technologies you may use include:
    AzureML services, Databricks, SQL, Docker, CI/CD
    Prior experience working in a distributed team with diverse backgrounds is a plus. Ability to engage in discussions in a respectful manner is a must.
    In this team we value a start-up mindset and a sense of urgency to deliver to our internal customers.

    The ideal candidate will have experience from a fast-moving SaaS start-up in addition to experience from a large complex organization.

    Mastery in English is required.

    Education And Length Of Experience


    Bachelor's degree in Computer Science or similar, or demonstrated competence, plus typically a minimum of 7-10 years of relevant experience or equivalent.

    Graduate level (e.g. Master's) degree preferred.
    #J-18808-Ljbffr


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