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    Machine Learning Engineer - Philadelphia, United States - V-Soft Consulting Group, Inc.

    V-Soft Consulting Group, Inc.
    V-Soft Consulting Group, Inc. Philadelphia, United States

    2 weeks ago

    Default job background
    Technology / Internet
    Description

    Hiring- Machine Learning Engineer- Philadelphia, PA-Hybrid-Pure W2 only (No Transfers)

    Job Title: Machine Learning Engineer

    Location: Philadelphia, PA-Hybrid

    Responsibility


    • Implements, refines, and validates machine learning algorithms for products and applications. - Designs and develops data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring.


    • Trains machine learning models, validates the accuracy of the machine learning models once trained, and deploys validated machine learning models into production.


    • Designs proof of concept solutions and contributes to studies to support future product or application development.


    • Researches, writes, and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations, and reports.


    • Tests and evaluates solutions. Completes case studies, testing, and reporting.


    • Collaborates with teams outside of immediate work group. Represents the work team in providing solutions to technical issues associated with assigned projects.


    • Designs proof of concept solutions and contributes to studies to support future product or application development.

    Required Skills:


    • Bachelor's degree in computer science, computer engineering, mathematics, related technical discipline, or related industry experience


    • Experience with machine learning, deep learning, data mining, and/or statistical analysis tools and how to deploy and monitor machine learning models.


    • Strong programming and software development skills and familiarity with Python, Java or Scala.


    • Knowledge of data pipeline and cloud technologies such as Kafka, Spark, and Docker.


    • 5-8 years related experience after Bachelors, or a master's degree with 2-3 years of experience desired."

    Regards

    Priyanka

    #LI-PN1

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