Data Scientist Student
Magna International
Toronto, ON-
Number of positions available : 1
- Salary To be discussed
- Published on February 3rd, 2025
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Starting date : 1 position to fill as soon as possible
Description
Job Responsibilities:
We are seeking a motivated student to join our team. The role requires a basic understanding of computer vision and machine learning technologies, especially for industrial applications like defect detection, 3D reconstruction, quality assurance, and process optimization. Knowledge of Python and C++ programming languages is expected. Additionally, knowledge of relevant mathematics, statistics, machine learning techniques, data pipelines, and software development workflows is essential.
Essential Duties and Responsibilities:
Perform and present data analysis results based on requests of supervisors.
Create data/machine learning pipeline in one of the popular cloud platforms.
Participate in development and improvement of a software solution.
Test and evaluate the developed solutions.
Qualifications:
Graduate student (Ph.D. preferred) of mechanical engineering, electrical engineering, or computer engineering/science, or equivalent engineering, math or science discipline.
Strong Python and C++ programming experience is required.
Familiarity with Deep Learning (TensorFlow or PyTorch) and Cloud Platforms preferred.
Experience with software development process preferred.
Experience in computer vision tasks like image classification, object detection, or semantic segmentation, 3D reconstruction is a plus.
Education/Experience:
Currently attending University, preferably a graduate student.
Special Knowledge/skills:
Strong technical and analytical skills.
Ability to work on complex engineering systems with creative ways.
Proficient in Microsoft Office Products (Excel, Word, Power Point)
Professional Communication skills (written and verbal).
Work Environment:
Normal amount of sitting or standing, average mobility to move around an office environment, able to conduct normal amount of work at a computer.
The candidate may be exposed to the automotive manufacturing environment.
Requirements
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