AI & Hardware Analytics Intern — Data-Driven Production

General Motors; Milford Charter Township (MI); In loco; USD 90.000 - 97.000; Tempo pieno

Vantaggi offerti da questo lavoro

Paid US GM Holidays

GM Family First Vehicle Discount

Result-based growth within GM

Intern events to network

Descrizione del lavoro

General Motors' AI and Data Science Internship in Michigan is an on-site program for students pursuing a bachelor's or master's in data science, CS, statistics, or engineering. The role supports AI analysis, data pipelines, and hardware process efficiency with 40 hours per week and locations in Warren or Milford, MI.

You'll develop dashboards, apply ML techniques, and document results while collaborating with engineers and cross-functional teams.

Competenze

• Pursuing Bachelor's or Master's in listed fields.
• Experience with Python, SQL, MATLAB, statistics, data visualization, or ML.
• Able to work full-time, 40 hours per week.

Mansioni

• Analyze production and quality data to identify trends and opportunities.
• Apply AI techniques for predictive insights and process optimization.
• Develop data pipelines and automated workflows for teams.
• Create dashboards and visualizations for technical decisions.

Conoscenze

Python

SQL

MATLAB

statistics

data visualization

machine learning

pandas

NumPy

scikit-learn

PyTorch

TensorFlow

Power BI

Tableau

Formazione

Bachelor's or Master's degree in Data Science

Computer Science

Statistics

Industrial Engineering

Manufacturing Engineering

Electrical Engineering

Mechanical Engineering

Strumenti

Power BI

Tableau

Descrizione del lavoro

General Motors' AI and Data Science Internship in Michigan is an on-site program for students pursuing a bachelor's or master's in data science, CS, statistics, or engineering. The role supports AI analysis, data pipelines, and hardware process efficiency with 40 hours per week and locations in Warren or Milford, MI.

You'll develop dashboards, apply ML techniques, and document results while collaborating with engineers and cross-functional teams.