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    Artificial Intelligence Specialist - Williston, United States - Intelligence and National Security Alliance

    Intelligence and National Security Alliance
    Intelligence and National Security Alliance Williston, United States

    1 week ago

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    Description
    Strategic Staffing Solutions is currently looking for a
    AISpecialist
    Candidates should be willing to work on our W2 only.

    Job Title:

    AI
    Specialist

    Job code:

    235492

    Schedule:
    Hybrid

    Location(s):

    Charlotte, NC
    MUST BE ABLE TO INTERVIEW IN PERSON.

    W2 pay:
    $65-$85/hr; medical benefits optional our client does not allow c2c or 1099 consultants so you will be a W2 employee of Strategic Staffing Solutions.
    Hybrid/Remote: 2 to 3 days per week in Charlotte, NC May require more for onboarding) and the rest of the time working remotely

    Work hours of the Position:
    M-F, 8-5 EST; (9-4 core hours; 9:30am stand up meeting)
    3 year contract and opportunity for extension and conversion.

    Key Skills:
    Deep Learning, AWS, Python, Data Engineering
    The top three skills the EM is looking for:
    Extensive algorithm and deep learning knowledge.
    AWS cloud proficiency.
    Python and data engineering skills.

    Required Skills:

    Job-specific knowledge, skills or abilities:
    Working knowledge of building data pipelines for ingestion & transformation.
    Good SQL programming skills.
    Working knowledge of programming in different languages.
    Knowledge in using and building CI/CD pipelines. Good understanding of Architectural patterns in developing secure AI.
    Good team player and understanding of Agile process.

    Preferred Qualifications:
    Working experience in building machine learning & deep learning models (classification Regression / Time Series / NLP / Computer vision)
    Demonstrated experience working with geospatial data. Experience with mapping, visualization & analysis tools such as Geo Pandas, and other GIS tools is a plus
    Cloud expertise in AWS Sage maker / ML Services.
    Experience in data ingestion from various data sources like SQL Server, Oracle, Hive etc.
    Good working experience in Python
    Should be able to work with the ML Ops to build data pipelines for model executions.
    Knowledge in docker/MLOPS and its orchestration

    Required Qualifications :

    Bachelor's degree in computer science, information systems, or a related discipline; Or 6 years of prior equivalent work-related experience in lieu of a degree.

    Work experience in addition to degree: 1-2 years.

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