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Applied AI Intern

Eragon

Montreal, Quebec, Canada · 全职

抢先申请

经验
任何
薪水
职位空缺
1
发布
8小时前
工作模式
在办公室
学历
Bachelor's or Master's in Computer Science, Engineering, or related field
合格
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
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需要申请

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职位描述

About the Role

Eragon is seeking a motivated Applied AI Intern to contribute to the development and deployment of robust AI systems designed for real-world use. This internship offers the opportunity to collaborate closely with engineering and research teams on transformative projects that reach actual users.

Responsibilities

  • Support the fine-tuning, assessment, and application of machine learning models tailored to practical challenges.
  • Assist in constructing and embedding AI-based features into live production environments.
  • Manage and manipulate datasets required for training, validation, and iterative improvements.
  • Conduct experimental trials, interpret findings, and enhance model efficacy through iterative development.
  • Participate in designing evaluation frameworks and monitor ongoing system effectiveness.
  • Collaborate across engineering and product teams to aid in feature creation and refinement.

Qualifications

  • Currently enrolled in a Bachelor's or Master's program in Computer Science, Engineering, or a related discipline.
  • Proficient in Python programming, with practical experience using machine learning libraries such as PyTorch or TensorFlow.
  • Fundamental understanding of machine learning principles and pipeline processes.
  • Strong analytical skills capable of dissecting problems and contributing actionable solutions.
  • A keen eagerness to learn and take initiative in a dynamic setting.

Preferred Skills

  • Prior exposure to machine learning projects, internships, or academic research.
  • Knowledge of large language models, AI agents, or data pipeline frameworks.
  • Hands-on experience creating projects beyond classroom assignments.
  • Passion for implementing AI solutions with tangible real-world impact.

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