Gravit Infosystems logo
🔥 Viewed by 89 students today✓ Verified Listing

AI/ML Developer Intern

Gravit InfosystemsCompetition: Moderate • Entry Level
|On-site (Gwalior)|By CampusToCareer Editorial Team|Posted 1 day ago|Last verified 1 day ago
✓ Company career page verified✓ Application route verifiedLast checked on Jul 9, 2026
💼 Experience Required
Fresher / 0-1 Years
🕒 Employment Type
Internship
🎓 Target Batch
Fresher / Interns
🚀 Role Category
AI/ML Developer
📌 How to Apply
send your resume
💰 Stipend
Not publicly disclosed
Compensation follows company standards.
Skills Recommended
PythonMachine LearningTensorFlowPyTorchScikit-learnData StructuresAlgorithmsData PreprocessingNLPComputer VisionGenerative AI
Career Guide • 15 min read

Complete preparation guide for AI/ML Developer Intern at Gravit Infosystems

As an AI/ML Developer Intern, you will be working on exciting projects that involve building intelligent applications using various AI and ML frameworks. You will be responsible for developing, testing, and deploying AI models, as well as collaborating with the team to identify and solve complex problems. This role is ideal for freshers who are passionate about AI and ML and want to gain hands-on experience in a dynamic and supportive environment.

✓ AI Assisted • Fact CheckedCampusToCareer Editorial TeamUpdated 9 Jul 2026

About Gravit Infosystems

Gravit Infosystems is a technology-driven company that focuses on developing innovative solutions in the field of Artificial Intelligence and Machine Learning. With a strong emphasis on research and development, the company provides a supportive environment for its employees to grow and learn. Gravit Infosystems is committed to delivering cutting-edge solutions that transform businesses and improve lives.

Required Skills Explained

Python

Why required: Python is a fundamental language for AI and ML development, and proficiency in it is essential for this role.

How recruiters evaluate: The recruiter will evaluate your Python skills through coding challenges and problem-solving exercises.

  • Codecademy
  • Python.org
  • Real Python

Machine Learning

Why required: Machine Learning is a critical aspect of AI development, and understanding its concepts is vital for this role.

How recruiters evaluate: The recruiter will assess your understanding of ML concepts through theoretical questions and practical exercises.

  • Coursera
  • edX
  • Machine Learning Mastery

TensorFlow

Why required: TensorFlow is a popular AI framework, and knowledge of it is preferred for this role.

How recruiters evaluate: The recruiter will evaluate your TensorFlow skills through coding challenges and project-based assessments.

  • TensorFlow.org
  • Coursera
  • Udemy

PyTorch

Why required: PyTorch is another popular AI framework, and knowledge of it is preferred for this role.

How recruiters evaluate: The recruiter will assess your PyTorch skills through coding challenges and project-based assessments.

  • PyTorch.org
  • Coursera
  • Udemy

Scikit-learn

Why required: Scikit-learn is a widely used ML library, and knowledge of it is preferred for this role.

How recruiters evaluate: The recruiter will evaluate your Scikit-learn skills through coding challenges and project-based assessments.

  • Scikit-learn.org
  • Coursera
  • Udemy

Data Structures

Why required: Data Structures are essential for efficient data processing, and knowledge of them is required for this role.

How recruiters evaluate: The recruiter will assess your Data Structures skills through coding challenges and problem-solving exercises.

  • GeeksforGeeks
  • LeetCode
  • HackerRank

Algorithms

Why required: Algorithms are critical for efficient data processing, and knowledge of them is required for this role.

How recruiters evaluate: The recruiter will evaluate your Algorithm skills through coding challenges and problem-solving exercises.

  • GeeksforGeeks
  • LeetCode
  • HackerRank

Data Preprocessing

Why required: Data Preprocessing is essential for efficient data processing, and knowledge of it is required for this role.

How recruiters evaluate: The recruiter will assess your Data Preprocessing skills through coding challenges and project-based assessments.

  • Kaggle
  • DataCamp
  • Coursera

NLP

Why required: NLP is a critical aspect of AI development, and understanding its concepts is preferred for this role.

How recruiters evaluate: The recruiter will evaluate your NLP skills through theoretical questions and practical exercises.

  • NLTK.org
  • Spacy.io
  • Stanford NLP

Computer Vision

Why required: Computer Vision is a critical aspect of AI development, and understanding its concepts is preferred for this role.

How recruiters evaluate: The recruiter will assess your Computer Vision skills through theoretical questions and practical exercises.

  • OpenCV.org
  • PyImageSearch
  • Stanford CV

Generative AI

Why required: Generative AI is a critical aspect of AI development, and understanding its concepts is preferred for this role.

How recruiters evaluate: The recruiter will evaluate your Generative AI skills through theoretical questions and practical exercises.

  • Generative AI.org
  • GANs.org
  • Stanford GANs

Who Should Apply

freshers

Freshers who are passionate about AI and ML and want to gain hands-on experience in a dynamic and supportive environment.

experienced

Experienced professionals who want to transition into AI and ML development and are willing to learn and adapt.

graduates

Graduates in Computer Science, Mathematics, or related fields who want to pursue a career in AI and ML development.

btech

B.Tech students in Computer Science, Mathematics, or related fields who want to gain practical experience in AI and ML development.

mca

MCA students who want to gain practical experience in AI and ML development.

diploma

Diploma holders in Computer Science, Mathematics, or related fields who want to gain practical experience in AI and ML development.

Typical Hiring Process

  1. Round 1: Online coding challenge to assess Python, Data Structures, and Algorithms skills.
  2. Round 2: Technical interview to assess Machine Learning, TensorFlow, PyTorch, and Scikit-learn skills.
  3. Round 3: Project-based assessment to evaluate practical skills in AI and ML development.

Resume Tips for This Role

  • Highlight relevant projects and experience in AI and ML development.
  • Include relevant skills and certifications in AI and ML.
  • Use a clear and concise format to showcase your experience and skills.

Interview Preparation Tips

  • Be prepared to answer theoretical questions on AI and ML concepts.
  • Practice coding challenges to improve your problem-solving skills.
  • Showcase your practical experience in AI and ML development through project-based assessments.

Possible Interview Questions (10)

  1. What is your experience with Python and Machine Learning?
  2. How do you approach a problem in AI development?
  3. Can you explain the concept of Generative AI?
  4. How do you optimize the performance of an AI model?
  5. Can you describe a project you worked on in AI development?
  6. How do you handle missing data in a dataset?
  7. Can you explain the concept of Transfer Learning?
  8. How do you evaluate the performance of an AI model?
  9. Can you describe a situation where you had to troubleshoot an AI model?
  10. How do you stay updated with the latest developments in AI and ML?

Salary Insights (India)

Industry range

The average salary for an AI/ML Developer in India is around ₹8-12 lakhs per annum.

Freshers

Freshers can expect a salary range of ₹4-6 lakhs per annum.

Experienced

Experienced professionals can expect a salary range of ₹10-15 lakhs per annum.

The salary for AI/ML Developers is expected to grow rapidly in the next few years due to the increasing demand for AI and ML solutions.

Career Path Roadmap

1
AI/ML Developer

Develop and deploy AI models for various applications.

2
Senior AI/ML Developer

Lead a team of AI/ML Developers and develop complex AI solutions.

3
AI/ML Researcher

Research and develop new AI and ML algorithms and techniques.

Why This Opportunity Is Worth Considering

  • Opportunity to work on exciting AI projects.
  • Chance to learn and adapt to new technologies and frameworks.
  • Collaborative and supportive work environment.
  • Opportunity to grow and develop your career in AI and ML development.

Things To Know Before Applying

  • The company is a startup, and the work environment is fast-paced and dynamic.
  • The team is small, and you will have the opportunity to work closely with the founders.
  • The company is focused on developing innovative AI solutions, and you will have the opportunity to work on cutting-edge projects.

Recommended Courses

Python for Everybody
Coursera

This course provides a comprehensive introduction to Python programming.

Machine Learning
Coursera

This course provides a comprehensive introduction to Machine Learning concepts.

TensorFlow Developer
Udemy

This course provides a comprehensive introduction to TensorFlow development.

Career Advice

To succeed in this role, you should have a strong foundation in Python, Data Structures, and Algorithms, as well as a good understanding of Machine Learning concepts. You should also be willing to learn and adapt to new technologies and frameworks.

Editorial Note: This is a great opportunity for freshers who want to gain hands-on experience in AI and ML development. The company is a startup, and the work environment is fast-paced and dynamic. You will have the opportunity to work on exciting AI projects and learn from experienced professionals.
Written by CampusToCareer Editorial Team • AI Assisted • Fact Checked

Frequently Asked Questions

The salary range for this role is ₹4-6 lakhs per annum for freshers.
The work environment is fast-paced and dynamic, and you will have the opportunity to work closely with the founders.
The growth opportunities for this role are excellent, and you will have the opportunity to grow and develop your career in AI and ML development.

Similar Roles to Explore

Data ScientistMachine Learning EngineerAI ResearcherComputer Vision EngineerNatural Language Processing Engineer
Application trackerSkill learning pathsDaily coding practice
Send Resume
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

We're Hiring: AI/ML Developer Intern!

Are you passionate about Artificial Intelligence, Machine Learning, and building intelligent applications?

Position: AI/ML Developer Intern

🏢 Location: On-site (Gwalior)

Experience: Freshers/Interns (Knowledge of AI/ML concepts preferred)

What We’re Looking For:

✅ Basic understanding of Python and Machine Learning concepts

✅ Familiarity with AI frameworks such as TensorFlow, PyTorch, or Scikit-learn

✅ Knowledge of Data Structures, Algorithms, and Data Preprocessing

✅ Understanding of NLP, Computer Vision, or Generative AI (preferred)

✅ Problem-solving mindset and willingness to learn new technologies

✅ Good communication and teamwork skills

If you're eager to work on innovative AI projects and grow your career in a supportive environment, we'd love to connect with you!

📩 To apply, send your resume to:

reachus@gravitinfosystems.com