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Machine Learning Engineer Coordinator
Machine Learning Engineer CoordinatorUniversity of Florida • Gainesville, Florida, USA
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Machine Learning Engineer Coordinator

Machine Learning Engineer Coordinator

University of Florida • Gainesville, Florida, USA
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Classification Title :

Systems Admin / Programmer II

Classification Minimum Requirements :

Associates degree and two years of relevant experience; or a high school diploma or equivalent and four years of relevant experience. Appropriate college coursework or vocational / technical training may substitute at an equivalent rate for the required experience.

Job Description :

The University of Florida Lastinger Center for Learnings mission is to improve the quality of teaching learning and childcare. We research develop and scale educational innovations for adults and children that put all learners on trajectories for lifelong success. Specifically the Center targets kindergarten readiness 3rd grade reading proficiency and algebra proficiency as critical milestones in childrens educational trajectory that are predictive of success in school and life. The Center works at the nexus of research practice and policy to develop sustainable systems that leverage educational technologies and improve the implementation of research-based practices. Housed in one of the nations elite public research universities the Center operates as a dynamic entrepreneurial workplace focused on executing UFs service mission to strengthen the human condition and improve the quality of life. The Lastinger Center is committed to attracting hiring and retaining top talent by valuing a variety of thought skill and experience.

The University of Florida is an equal opportunity employer.

Responsibilities :

Machine Learning & Predictive Modeling

  • Develop test deploy and monitor machine learning models aimed at improving learner retention performance and predictive analytics.
  • Provide expert insights and recommendations on the strategic use of analytics and machine learning technologies within educational contexts.
  • Develop early-warning models to flag at-risk learners and recommend interventions.
  • Create mastery prediction models to support personalized learning paths.
  • Conduct A / B testing and experimentation to validate predictive model effectiveness.

Data Engineering & Pipeline Development

  • Manages Tier 1 requests and escalated Tier 2 requests.
  • Formulates and implements monitoring systems procedures and work plans.
  • Design implement and maintain scalable data pipelines to support learning analytics projects.
  • Ensure data integrity reliability and compliance with privacy standards and educational data regulations.
  • Perform basic data maintenance and ensure accurate data flow across systems.
  • Collaborate with security and compliance teams to operationalize FERPA aligned data governance practices.
  • DevOps and System Integration

  • Lead DevOps processes for the Learning Analytics environment.
  • Ensuring robust model deployment performance monitoring and continuous integration and deployment.
  • Collaboration and Peporting

  • Is responsible for the preparation and modification of technical and capacity documentation.
  • Is responsible for the tracking of service requests.
  • May maintain history reports IDs and addresses reoccurring problems and assists in the development and execution of business process best practices across the organization.
  • Collaborate closely with stakeholders to gather interpret and document business and technical requirements.
  • Translate requirements into scalable analytics solutions.
  • Regularly communicate complex analytics results to diverse audiences including non-technical stakeholders.
  • Create visualizations and reports that support decision-making and strategic planning.
  • Mentor student assistants working on data projects.
  • Other duties as assigned

    Expected Salary : $75000 - $90000

    Required Qualifications :

    Associates degree and two years of relevant experience; or a high school diploma or equivalent and four years of relevant experience. Appropriate college coursework or vocational / technical training may substitute at an equivalent rate for the required experience.

    Preferred :

    Bachelors degree and five years of appropriate experience.

    Extensive experience in machine learning data engineering and DevOps practices.

    Strong proficiency in machine learning frameworks and tools such as Azure ML Snowflake or PyTorch.

    Expertise in programming languages (Python SQL) and cloud platforms.

    Demonstrated capability in designing and managing data infrastructure and pipelines.

    Exceptional analytical collaborative and problem-solving skills.

    Strong communication skills to effectively translate analytics results into actionable insights.

    Previous experience working in educational technology and learning analytics environments.

    Familiarity with agile methodologies and project management frameworks.

    Proven track record of delivering impactful data-driven solutions in a collaborative environment.

    Special Instructions to Applicants :

    In order to be considered you must upload your cover letter and resume.

    Application must be submitted by 11 : 55 p.m. (ET) of the posting end date.

    Health Assessment Required :

    No

    Required Experience :

    IC

    Key Skills

    Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 75000 - 90000

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