AI / ML Intern

Remote - Ontario

Harris Computer

Harris is an acquirer of software businesses. Our focus is to acquire businesses with growth potential, manage them well and build them for the future.

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As an AI/ML Intern at Globys, you will work directly under the guidance of our Information Security Officer, contributing to the creation and implementation of AI and ML programs and tools within our products. This position offers a unique opportunity to apply your skills in a real-world context, contributing to cutting-edge solutions that support our B2B billing ecosystem and other use cases.
 

Key Responsibilities :

  • Collaborate with the Information Security Officer and other teams to design, develop, and integrate AI and ML models into Globys' product offerings;
  • Assist in identifying and researching use cases where AI and ML can add value, including but not limited to data analysis, security enhancements, and process optimization;
  • Participate in code reviews, testing, and debugging to ensure robust and reliable integration of AI/ML models;
  • Contribute to documentation and training materials to ensure seamless adoption of new tools and models;

Requirements :

  • Currently enrolled in a bachelor's degree program in Computer Science, Artificial Intelligence, or a related field;
  • Knowledge of AI/ML concepts and algorithms, with practical experience through coursework, projects, or internships;
  • Proficiency in programming languages such as Python or R, with experience in AI/ML libraries and frameworks (e.g., TensorFlow, scikit-learn);
  • Strong problem-solving skills, with an ability to work independently and collaboratively in a fast-paced environment;
  • Excellent communication skills, both verbal and written, to contribute to team discussions and documentation;

*Only successful candidates will be contacted*.

Harris is an Equal Opportunity Employer and members of the following targeted groups are encouraged to apply: women, persons with disabilities, aboriginal peoples and visible minorities. If you are a person with a disability, assistance with the screening and selection process is available on request.

The Harris Talent Acquisition team does not use text messages to contact candidates or solicit confidential information. We encourage all candidates to apply for advertised positions. They will be contacted either by a Harris manager or by a member of the Talent Acquisition team for an interview, once the required criteria have been met.

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Tags: Computer Science Data analysis Machine Learning ML models Python R Scikit-learn Security TensorFlow Testing

Regions: Remote/Anywhere North America
Country: Canada

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