generalmotors logo
🔥 Viewed by 85 students today✓ Verified Listing

AI/ML Student Intern

generalmotorsCompetition: Moderate • Entry Level
|Bengaluru, Karnataka, India|By CampusToCareer Editorial Team|Posted 2 days ago|Last verified 2 days ago
✓ Company career page verified✓ Application route verifiedLast checked on Jul 2, 2026
💼 Experience Required
Fresher
🕒 Employment Type
Internship
🎓 Target Batch
2026, 2027
🚀 Role Category
Data Science / AI/ML
📌 How to Apply
Click on the Apply button
💰 Stipend
Not publicly disclosed
Compensation follows company standards.
Skills Recommended
PythonNumPyPandasSQLPower BIscikit-learnTensorFlowPyTorch
Career Guide • 15 min read

Complete preparation guide for AI/ML Student Intern at generalmotors

As an AI/ML Student Intern at General Motors India, you will have the opportunity to work with a cross-functional team to explore opportunities, develop prototypes, analyze data, and support digital solutions that improve efficiency, quality, and business outcomes in the engineering and manufacturing domain. This role is ideal for students who are passionate about applying artificial intelligence, machine learning, analytics, and automation to solve practical problems.

✓ AI Assisted • Fact CheckedCampusToCareer Editorial TeamUpdated 3 Jul 2026

About generalmotors

General Motors is a multinational corporation that designs, manufactures, markets, and distributes vehicles and vehicle parts. With a rich history spanning over a century, the company has evolved to become a leader in the automotive industry, with a strong focus on innovation, sustainability, and customer satisfaction. General Motors India, with its headquarters in Bengaluru, Karnataka, is a key player in the Indian automotive market, offering a range of vehicles and services to customers across the country.

Required Skills Explained

Python

Why required: Python is a popular programming language used extensively in AI/ML and data analysis. As an AI/ML Intern, you will be required to work with Python to develop prototypes, analyze data, and support digital solutions.

How recruiters evaluate: The recruiter will evaluate your proficiency in Python, including your ability to write clean, efficient, and well-documented code.

  • Python.org
  • DataCamp
  • Coursera

NumPy

Why required: NumPy is a library for working with arrays and mathematical operations in Python. As an AI/ML Intern, you will be required to work with NumPy to perform data analysis and manipulation.

How recruiters evaluate: The recruiter will evaluate your ability to use NumPy to perform data analysis and manipulation, including your understanding of array operations and data structures.

  • NumPy.org
  • DataCamp
  • Coursera

Pandas

Why required: Pandas is a library for working with data structures and data analysis in Python. As an AI/ML Intern, you will be required to work with Pandas to perform data analysis and manipulation.

How recruiters evaluate: The recruiter will evaluate your ability to use Pandas to perform data analysis and manipulation, including your understanding of data structures and data operations.

  • Pandas.pydata.org
  • DataCamp
  • Coursera

SQL

Why required: SQL is a language for working with databases and data analysis. As an AI/ML Intern, you will be required to work with SQL to perform data analysis and manipulation.

How recruiters evaluate: The recruiter will evaluate your ability to use SQL to perform data analysis and manipulation, including your understanding of database concepts and data operations.

  • W3Schools
  • DataCamp
  • Coursera

Power BI

Why required: Power BI is a business analytics service by Microsoft. As an AI/ML Intern, you will be required to work with Power BI to perform data visualization and reporting.

How recruiters evaluate: The recruiter will evaluate your ability to use Power BI to perform data visualization and reporting, including your understanding of data visualization concepts and data operations.

  • PowerBI.microsoft.com
  • DataCamp
  • Coursera

scikit-learn

Why required: scikit-learn is a library for machine learning in Python. As an AI/ML Intern, you will be required to work with scikit-learn to develop machine learning models and perform data analysis.

How recruiters evaluate: The recruiter will evaluate your ability to use scikit-learn to develop machine learning models and perform data analysis, including your understanding of machine learning concepts and data operations.

  • scikit-learn.org
  • DataCamp
  • Coursera

TensorFlow

Why required: TensorFlow is a library for machine learning in Python. As an AI/ML Intern, you will be required to work with TensorFlow to develop machine learning models and perform data analysis.

How recruiters evaluate: The recruiter will evaluate your ability to use TensorFlow to develop machine learning models and perform data analysis, including your understanding of machine learning concepts and data operations.

  • TensorFlow.org
  • DataCamp
  • Coursera

PyTorch

Why required: PyTorch is a library for machine learning in Python. As an AI/ML Intern, you will be required to work with PyTorch to develop machine learning models and perform data analysis.

How recruiters evaluate: The recruiter will evaluate your ability to use PyTorch to develop machine learning models and perform data analysis, including your understanding of machine learning concepts and data operations.

  • PyTorch.org
  • DataCamp
  • Coursera

Who Should Apply

freshers

Freshers who are 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.

experienced

Experienced professionals who have a strong background in AI/ML and data analysis, and are looking to transition into a role that involves working with cross-functional teams to develop digital solutions.

graduates

Graduates who have a degree in Computer Science, Data Science, Artificial Intelligence, Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Statistics, or a related field, and are looking to gain experience in AI/ML and data analysis.

btech

B.Tech students who are pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Statistics, or a related field.

mca

MCA students who are pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Statistics, or a related field.

diploma

Diploma students who are pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Statistics, or a related field.

Typical Hiring Process

  1. Round 1: The hiring process will start with a resume screening, where the recruiter will evaluate your resume to ensure that you meet the minimum qualifications for the role.
  2. Round 2: If your resume is selected, you will be invited to participate in a technical interview, where you will be asked to answer technical questions related to AI/ML and data analysis.
  3. Round 3: If you pass the technical interview, you will be invited to participate in a behavioral interview, where you will be asked to answer behavioral questions related to your experience and skills.

Resume Tips for This Role

  • Tailor your resume to the job description, highlighting your relevant skills and experience.
  • Use keywords from the job description to help your resume pass through applicant tracking systems (ATS).
  • Use a clear and concise format, with bullet points and white space to make your resume easy to read.

Interview Preparation Tips

  • Practice answering technical questions related to AI/ML and data analysis.
  • Prepare examples of your experience and skills, and be ready to talk about them in the interview.
  • Use the STAR method to answer behavioral questions, where you describe the situation, task, action, and result.

Possible Interview Questions (10)

  1. What is your experience with AI/ML and data analysis?
  2. How do you stay current with new developments in AI/ML and data analysis?
  3. Can you describe a project you worked on that involved AI/ML and data analysis?
  4. How do you approach data preprocessing and feature engineering?
  5. Can you explain the concept of overfitting and how to prevent it?
  6. How do you evaluate the performance of a machine learning model?
  7. Can you describe a situation where you had to communicate complex technical information to a non-technical audience?
  8. How do you handle missing or imbalanced data?
  9. Can you explain the concept of regularization and how it is used in machine learning?
  10. How do you approach model selection and hyperparameter tuning?

Salary Insights (India)

Industry range

The salary range for AI/ML Interns in India is typically between ₹15,000 and ₹30,000 per month, depending on the company, location, and experience.

Freshers

Freshers can expect a salary range of ₹10,000 to ₹20,000 per month, depending on the company and location.

Experienced

Experienced professionals can expect a salary range of ₹25,000 to ₹50,000 per month, depending on the company, location, and experience.

The salary for AI/ML Interns in India is expected to grow by 10-20% per year, depending on the company, location, and experience.

Career Path Roadmap

1
AI/ML Engineer↓

An AI/ML Engineer is responsible for designing, developing, and deploying AI/ML models and systems. This role typically requires a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field, and 2-5 years of experience in AI/ML and data analysis.

2
Data Scientist

A Data Scientist is responsible for collecting, analyzing, and interpreting complex data to gain insights and inform business decisions. This role typically requires a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field, and 2-5 years of experience in data analysis and machine learning.

Why This Opportunity Is Worth Considering

  • This role offers the opportunity to work with a leading company in the automotive industry, with a strong focus on innovation and sustainability.
  • You will have the opportunity to work with a cross-functional team to develop digital solutions that improve efficiency, quality, and business outcomes.
  • You will have access to cutting-edge technologies and tools, including AI/ML and data analysis software.

Things To Know Before Applying

  • The company is a leader in the automotive industry, with a strong focus on innovation and sustainability.
  • The role is based in Bengaluru, Karnataka, India, and requires a strong understanding of the local market and industry trends.
  • The company offers a competitive salary and benefits package, as well as opportunities for career growth and development.

Recommended Courses

Python for Data Science
DataCamp

This course provides a comprehensive introduction to Python programming, including data structures, file input/output, and data analysis.

Machine Learning with Python
Coursera

This course provides a comprehensive introduction to machine learning, including supervised and unsupervised learning, regression, and classification.

Career Advice

To succeed in this role, you should have a strong foundation in AI/ML and data analysis, as well as excellent communication and problem-solving skills. You should also be able to work effectively in a team and have a strong desire to learn and adapt to new technologies and techniques.

Editorial Note: This role is a great opportunity for students and professionals who are interested in AI/ML and data analysis, and want to work with a leading company in the automotive industry. The company offers a competitive salary and benefits package, as well as opportunities for career growth and development.
Written by CampusToCareer Editorial Team • AI Assisted • Fact Checked

Frequently Asked Questions

The salary range for this role is typically between ₹15,000 and ₹30,000 per month, depending on the company, location, and experience.
The required skills for this role include AI/ML and data analysis, programming languages such as Python, R, and SQL, data visualization and reporting tools such as Power BI and Tableau, and machine learning frameworks such as scikit-learn and TensorFlow.
The company culture is innovative, collaborative, and focused on sustainability. The company values diversity and inclusion, and offers a competitive salary and benefits package, as well as opportunities for career growth and development.

Similar Roles to Explore

AI/ML EngineerData ScientistBusiness AnalystOperations Research AnalystQuantitative Analyst

Related Career Resources

Application trackerSkill learning pathsDaily coding practice
Apply Now
Career Comparison Hub

These opportunities share similar skills, eligibility criteria and career outcomes. Comparing related roles can help you choose the opportunity that best matches your goals, preparation level and preferred career path.

✓ Verified Similar Opportunities
Based on:✓ Skills✓ Eligibility✓ Location✓ Career Track

How These Roles Compare

•Associate Data Engineer / Associate Data scientist (v4c): Best for Freshers & Final Years in the Data Analytics track with Moderate application competition.
•Data Engineer (Celebal Technologies): Best for Freshers & Final Years in the Data Analytics track with Moderate application competition.
•Research Intern (Altimate AI): Best for Freshers & Final Years in the Software Engineering track with Moderate application competition.
Data Science2026

Associate Data Engineer / Associate Data scientist

v4c

PAN India • Full-time • Fresher
pythonsqldata engineering
Why Similar?✓ Overlapping skill requirements✓ Open for freshers✓ Similar career pathway
Why we recommend: Excellent match if you know python, sql. Strong skillset overlap with the main role.
Best For:
Freshers & Final Years
Career Path:
Data Analytics
Competition: Moderate
View job descriptionCompare Role
Data ScienceFresher

Data Engineer

Celebal Technologies

Houston, Calgary, Jaipur, Bogotá • Full-time • Fresher
pythonsqlapache spark
Why Similar?✓ Overlapping skill requirements✓ Open for freshers✓ Similar career pathway
Why we recommend: Excellent match if you know python, sql. Strong skillset overlap with the main role.
Best For:
Freshers & Final Years
Career Path:
Data Analytics
Competition: Moderate
View job descriptionCompare Role
Research / InternshipFresher

Research Intern

Altimate AI

Bengaluru, India • Internship • Fresher
pytorchhugging face ecosystemllms
Why Similar?✓ Overlapping skill requirements✓ Open for freshers✓ Matches hiring category
Why we recommend: Excellent match if you know pytorch, sql. Strong skillset overlap with the main role.
Best For:
Freshers & Final Years
Career Path:
Software Engineering
Competition: Moderate
View job descriptionCompare Role
🤔

Not Sure Which Role To Choose?

Evaluate key parameters such as skills required, career growth opportunities, salary expectations, and competition levels before finalizing your targets.

💰 Salary Expectations🛠️ Skills Required📈 Growth Opportunities⚡ Competition Level

Related Preparation Resources

Reference Only

Original Job Description

The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.

Job Description

AI/ML Student Intern- Body Digitization & AI

Apply

remote type

Onsite

locations

Bengaluru, Karnataka, India

time type

Full time

posted on

Posted Today

job requisition id

JR-202613434

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 digital product 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