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    Senior Machine Learning Engineer - Dallas, United States - SSI People

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    Description

    Note:

    • Looking for a ML Engineer with extensive experience with Forecasting
    • My client will not work on C2C/C2H
    • My client will not sponsor any type of Visa
    • Will not consider any Data Scientist

    Scroll down to find the complete details of the job offer, including experience required and associated duties and tasks.

    Job Description:

    Summary:

    • The main function of a machine learning engineer is to design, develop, implement, test, and maintain multi-platform machine learning software systems.

    Candidate Technical and skills profile:

    Describe the role and the key responsibilities in order of which they will be doing daily:

    • Machine Learning Engineer that work with Data Scientists in a SDLC environment into production.
    • Attend meetings as needed
    • Work in an adapted to Agile environment
    • Work with a variety of team members to implement
    • Effectively delegate

    Job Responsibilities:

    • Research, develop, and implement machine learning algorithms for use in software and hardware applications.
    • Perform application programming activities including coding, testing, debugging, documenting, maintaining, and modifying machine learning systems.
    • Analyze and review enhancement requests and specifications.
    • Implement changes to algorithms to improve performance.
    • Troubleshoot problems to improve user experience.
    • Provide quality assurance reviews
    • Perform post-implementation validation of machine learning models and resolve any bugs found during testing

    Qualifications:

    • Bachelor's degree in Computer Science or related field.
    • 8-12 years related experience.

    Skills:

    • Experienced ML engineer to work on universal forecasting models
    • Experience with ARIMA
    • Experience with FB Prophet
    • Experience with Python Yes
    • Gluon
    • HADOOP
    • The application architecture is represented by OpenShift, Linux, Oracle, SQL Server, Hadoop, MongoDB, APIs and a great deal of Python code.


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