General Motors Internship | Intern - Engineering Standards

Job Description

General Motors (GM) is hiring Engineering Standards Interns for its Bengaluru office. This is an exciting opportunity for students interested in Data Analytics, AI/ML, GenAI, Industrial Automation, and Automotive Technology to work on real-world innovation challenges and contribute to the future of mobility.

🏢 Company: General Motors (GM)
💼 Position: Intern – Engineering Standards
📍 Location: Bengaluru, Karnataka, India
🏢 Job Type: Full-Time Internship (6 Months)
🎓 Eligibility: 3rd Year / Final Year Students

Roles & Responsibilities

✅ Collaborate with plant teams, SMEs, IT departments, and analytics teams to gather business requirements
✅ Analyze data and identify patterns to generate actionable business insights
✅ Develop proof-of-concept solutions for engineering and manufacturing challenges
✅ Support AI, ML, and GenAI initiatives for business problem-solving
✅ Work with data pipelines, dashboards, and analytics platforms
✅ Contribute to data-driven decision-making across engineering operations
✅ Participate in innovation projects and cross-functional collaborations
✅ Support agile project execution and continuous improvement initiatives

Qualifications & Eligibility

🎓 Current 3rd Year or Final Year student pursuing a Bachelor's or
Master's degree in:
• Computer Science
• Information Technology
• Mathematics
• Statistics
• Automotive Technology
• Related Engineering Disciplines

🎓 Strong analytical and problem-solving abilities
🎓 Interest in AI, Data Science, and Engineering Analytics
🎓 Ability to learn quickly and adapt to new technologies
🎓 Strong collaboration and communication skills

Skills Required

⭐ Python Programming
⭐ Object-Oriented Programming (OOP)
⭐ Data Analysis & Analytics
⭐ SQL Queries
⭐ Power BI
⭐ Git Version Control
⭐ Statistics & Mathematical Modeling
⭐ Problem-Solving Skills

🔹 Preferred Skills

⭐ Artificial Intelligence (AI)
⭐ Machine Learning (ML)
⭐ Generative AI (GenAI)
⭐ Databricks
⭐ Data Pipelines & Data Engineering
⭐ IoT Data Collection & Analytics
⭐ Industrial Automation
⭐ Automotive Production Processes