Job Description
Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
Work Arrangement: This role is categorized as ONSITE, General Shift, 45 hours per week, 6-month duration. This means the successful candidate is expected to report to GM TCI office five times per week or other frequency dictated by the business.
The Role
We are seeking a highly motivated and curious AI/ML Intern to join our
engineering and manufacturing team. This role is ideal for a student who is passionate about applying artificial intelligence, machine learning, analytics, and automation to solve practical engineering and manufacturing problems. The intern will work with cross-functional teams to explore opportunities, develop prototypes, analyze data, and support digital solutions that improve efficiency, quality, and business outcomes.
What You’ll Do
Support development and evaluation of AI/ML, analytics, and automation solutions for engineering and manufacturing use cases.
Work with engineers, domain experts, and data-focused teams to identify problem statements, gather requirements, and translate business needs into technical approaches.
Assist in collecting, cleaning, and analyzing structured and unstructured data to uncover trends, patterns, and improvement opportunities.
Build and test prototypes, proof of concepts, dashboards, or scripts that demonstrate the value of AI/ML in real business processes.
Support model development activities such as feature preparation, experimentation, validation, and performance tracking under guidance from the team.
Create clear documentation, presentations, and summaries to communicate findings, recommendations, and next steps to technical and non-technical stakeholders.
Research emerging AI/ML tools, methods, and best practices relevant to engineering, manufacturing, and digital transformation initiatives.
Collaborate in a fast-paced environment while demonstrating curiosity, learning agility, ownership, and strong teamwork.
Your Skills & Abilities (Required Qualifications)
Currently pursuing a Bachelor’s or Master’s degree in Computer Science.
Data Science, Artificial Intelligence, Mechanical Engineering, Industrial.
Engineering, Manufacturing Engineering, Statistics, or a related field.
Basic understanding of AI/ML concepts such as supervised learning, unsupervised learning, model evaluation, and data preprocessing.
Working knowledge of Python and familiarity with common data analysis libraries such as NumPy, Pandas, or similar tools.
Familiarity with data analysis, visualization, and reporting techniques.
Exposure to SQL, Power BI, or similar analytics and visualization tools is preferred.
Strong analytical thinking, problem-solving ability, and attention to detail.
Effective written and verbal communication skills and the ability to work with cross-functional teams.
What Will Give You A Competitive Edge (Preferred Qualifications)
Exposure to machine learning frameworks or platforms such as scikit-learn, TensorFlow, PyTorch, or cloud-based AI/ML tools.
Familiarity with manufacturing, engineering, plant operations, simulation,or industrial data use cases.
Experience through academic projects, internships, hackathons, or coursework in AI, machine learning, analytics, automation, or digitalproduct development.
Interest in applying AI responsibly, including awareness of output quality, bias, and governance considerations.
What Success Looks Like
Delivers high-quality analysis and prototype outputs on assigned work.
Demonstrates strong learning agility and curiosity in new tools and business problems.
Communicates ideas clearly and works effectively with stakeholders.
Contributes to practical use cases that support engineering and manufacturing efficiency, quality, or innovation.