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    Machine Learning Engineer - New York, United States - FORDER I.T.

    FORDER I.T.
    FORDER I.T. New York, United States

    1 week ago

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    Description

    We are currently seeking a talented and innovative Machine Learning Developer to join our clients dynamic team. In this role, you will collaborate closely with our researchers to leverage your expertise in machine learning and software engineering. As a Machine Learning Developer, you will play a key role in the design, development, and maintenance of systems dedicated to high-performance, large-scale knowledge discovery in financial data.

    Do you have the skills to fill this role Read the complete details below, and make your application today.

    Responsibilities:

    • Design, implement, test, and document modules for all stages of the pipeline, from data processing to predictions.
    • Assemble modules into end-to-end systems, ensuring seamless integration and functionality.
    • Collaborate with researchers to facilitate highly productive experimentation, model construction, and validation.
    • Contribute to the continuous improvement of our machine learning systems by staying abreast of advancements in software engineering and machine learning.

    Qualifications:

    • Strong knowledge of software engineering principles.
    • Proficiency in machine learning and familiarity with open-source machine learning ecosystems.
    • Demonstrated track record of building and applying high-performance machine learning systems.
    • Effective communication skills and the ability to collaborate with cross-functional teams.
    • Flexibility to work in a fast-paced and dynamic environment.

    Preferred Qualifications:

    • Impressive record of academic achievement (a plus, but not mandatory).
    • Welcoming outstanding candidates from diverse academic disciplines and backgrounds.

    If you are passionate about pushing the boundaries of machine learning in the financial domain and thrive in a collaborative and challenging environment, we invite you to apply for this exciting opportunity.

    Apply online or to -

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