AI/ML Student Intern- Body Digitization & AI

General Motors — Bengaluru, Karnataka, India

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 initiati

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