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    Systems Engineer III - Dallas, United States - The University of Texas at Dallas

    The University of Texas at Dallas
    The University of Texas at Dallas Dallas, United States

    1 week ago

    Default job background
    Description
    Systems Engineer
    III- Machine Learning Operations & Automation

    Position Title

    Systems Engineer
    III- Machine Learning Operations & Automation
    Functional Title
    Department
    Department

    BrainHealth Project
    Salary Range
    Salary Range

    Up to $100,000 depending on qualifications
    Pay Basis
    Pay Basis

    Monthly
    Position Status
    Position Status

    Regular full-time
    Location
    Position End Date (if temporary)
    Posting Open Date
    Posting Open Date

    05/02/2024
    Posting Close Date
    Posting Close Date

    05/09/2024
    Open Until Filled

    No
    Desired Start Date
    Desired Start Date

    05/20/2024
    Job Summary

    This role is responsible for the provisioning, deploying, administering, monitoring, maintaining, troubleshooting, upgrading, and patching of Information Technology resources and services, with a specialized focus on Machine Learning Operations (MLOps) for the Precision BrainHealth Application.

    The Systems Engineer


    III
    – Machine Learning Operations & Automation will develop, deploy, and integrate complex software and application solutions to support a variety of research and business objectives, including auto-scoring cognitive assessments. This includes managing and optimizing machine learning models in production, ensuring their scalability and reliability across cloud computing platforms, especially

    AWS .

    The position requires a combination of data science background, strong computer science fundamentals, and an aptitude to apply cutting-edge technologies at scale.

    Minimum Education and Experience

    Bachelor's Degree with four (4) years related experience OR Associate degree with six (6) related experience OR High School or equivalent with eight (8) years related experience.

    Preferred Education and Experience
    Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience in provisioning, deploying, administering, and maintaining IT resources, with a focus on automation and machine learning operations. Proficient in Python, Jupyter Notebook, Docker, GraphQL, RESTful web


    API
    principles,

    RDMS , NoSQL databases, and cloud computing platforms, especially

    AWS . Strong background in data science and computer science fundamentals. Excellent analytical, interpersonal, and communication skills. Experience working as part of an application development team.
    Essential Duties and Responsibilities

    Develop, deploy, and manage machine learning solutions and automated metrics for the Precision BrainHealth Application, ensuring their reliability and scalability.

    Provision, monitor, and maintain IT resources and services, focusing on automation and machine learning applications. Document complex processes, procedures, system configurations, and specifications related to machine learning operations and automation. Collaborate closely with data scientists and development teams to integrate and auto-score cognitive assessments for the Precision BrainHealth Application.
    Mentor junior engineers and manage small teams and projects related to machine learning and IT automation.

    Exhibit strong analytical, interpersonal, and communication skills, with the capability to leverage advanced technical competencies in both systems engineering and machine learning.

    Physical Activities
    Working Conditions
    Additional Information
    Special Instructions Summary
    1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public.

    2) The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community.

    UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its services, programs, activities, employment, and education, including in admission and enrollment.

    EOE , including disability/veterans. The University

    is committed to providing access, equal opportunity, and reasonable accommodation

    for individuals with disabilities.

    To request reasonable accommodation in the employment application and interview process, contact the


    ADA
    Coordinator

    .

    For inquiries regarding nondiscrimination policies, contact the

    Title IX Coordinator

    .
    Supplemental Questions

    Required fields are indicated with an asterisk (*).
    Please describe your experience in working on collaborative efforts, including the kinds of projects, constituent groups, and role. (Open Ended Question)

    Please describe any/all experience related to this position. (Open Ended Question)

    Please indicate years of management experience in an IT infrastructure environment:

    None
    Less than three years
    Three to five years
    Five to seven years
    Seven years plus

    Required Documents

    Resume
    Optional Documents

    Cover Letter/Letter of Application
    Unofficial Transcripts
    Veteran Employment Preference - Form DD-214
    Human Resources,
    800 West Campbell Road, AD3.418
    Richardson,

    TX
    #J-18808-Ljbffr
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