Hiring.Camp

AI Intern

Jmfamily

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Today

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Location
FL - Deerfield Bch HDQ, United States of America
Type
Internship
Seniority
Internship
Closing date
Today
Source
Workday

Description

The JM Family College Internship Program is designed to create an opportunity for college students to have meaningful work experiences that tie to their programs of study.

As part of this program, you will actively contribute to your team’s success, learn about JM Family’s companies and culture while obtaining new skills through learning opportunities, networking events and much more.

 

The ideal candidate will be available to work full-time during the Summer Internship Program (May 24th, 2027 - July 30th, 2027).

 

Interns will engage in meaningful work and gain insights into specific projects or tasks, providing hands-on experience, and contributing to various department initiatives. They will learn about JM Family’s culture including our core values: Consideration, Cooperation, Communication, Innovation and Accountability. These core values are part of our keys to success and the skills that embody these values are what drive our success as an organization.

 

As an AI Intern, you will work alongside the AI team on real-world data and machine learning projects. You will support day-to-day project work through research, analysis, and documentation while bringing fresh perspectives and new ideas that contribute to the department’s objectives.

 

Responsibilities:

  • Use Python in Jupyter Notebooks to perform data analysis in support of AI projects.
  • Extract and work with data using SQL to support project and analytical needs.
  • Perform basic machine learning tasks using project data.
  • Conduct research to support ongoing AI initiatives and project work.
  • Assist with the preparation and maintenance of project documentation.
  • Complete assigned project work and provide updates on progress.

 

Qualifications:

  • This is a full-time position with flexible working arrangements depending on the business need.
  • The ideal candidate will be actively enrolled in a bachelor’s, master’s, or other degree-seeking program at an accredited college or university, with a focus in a relevant field. Candidates in related fields will also be considered. Must have completed at least one semester of coursework.
  • Pursuing a degree in Math, Computer Science, Engineering, or a related field.
  • Working knowledge of Python is required.
  • Familiarity with SQL is preferred.
  • Coursework or experience in data analysis or machine learning is preferred.

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of JM Family. All work arrangements are subject to associate performance, business need and manager discretion, and may be revised as necessary.


JM FAMILY IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER 

JM Family Enterprises, Inc. is an Equal Employment Opportunity employer. We are committed to recruiting, hiring, retaining, and promoting qualified associates without regard any characteristic protected by law – whether actual or perceived – including race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity gender expression, sexual orientation, marital status, military service, veteran status, disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, provincial, or local law.

 

DISABILITY ACCOMMODATIONS 

If you have a disability and require a reasonable accommodation to complete the job application process, please contact JM Family’s Talent Acquisition department at [email protected] for assistance. If you have an accommodation request for one of our recruiting events, please notify us at least 72 hours prior so that we may provide assistance. 




Skills

PythonSQLMachine Learning

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