Engineering Intern

Magna Corporate - Troy, MI3.7

InternshipEstimated: $43,000 - $60,000 a year
Company Introduction
Magna is a company of entrepreneurial-minded people dedicated to delivering innovative solutions today while defining tomorrow. We are a mobility technology company and one of the world’s largest suppliers to the automotive industry. Our agility and expertise make us the ideal partner for autonomy, electrification and building complete vehicles.

Job Introduction

The Engineering Intern will work closely with Data Scientists on multiple data analytics/AI use cases. The projects will include analysis of large data sets to derive insights for business or engineering decisions and prognostics and health monitoring in manufacturing setting. The candidate should be familiar with data workflows including data discovery, ingestion, filtering, transformation, model creation, model deployment and model maintenance. Knowledge of Python/R, and relevant math/statistics and machine learning techniques is expected. Understanding and knowledge of big data technologies and platforms (GCP, Azure, AWS) is optional.

Major Responsibilities

Perform and present data analysis based on requests from customers
Talk to customers and define problem statements for Smart Manufacturing
Develop solutions that can be compared to a given baseline solution
Create data pipeline in one of the popular cloud platforms.
Test and evaluate the developed solution
Present technical results and provide recommendation based on the case study
Knowledge and Education
Preferred graduate student of mechanical engineering, electrical engineering, or computer engineering/science, or equivalent engineering, math or science discipline

Work Experience
Strong Python and/or R programming experience is required
Familiarity with Big data platforms required
Experience with Big data technologies preferred
Skills and Competencies
Proficient Computer knowledge and skills, Microsoft Office (Word, Excel, PowerPoint)
Strong technical and analytical skills
Ability to work on complex engineering systems with creative ways
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