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General Motors Logo General Motors · IT - Software Development

Ai/Ml Student Intern- Body Digitization & Ai

India, Bengaluru · Job Posted July 13, 2026
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Job Description

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.

Job Responsibility

  • 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

Requirements

  • 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

Nice to have

  • 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 digital product development
  • Interest in applying AI responsibly, including awareness of output quality, bias, and governance considerations
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