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📈 Trending among freshers✓ Verified Listing

Apprentice-IT

EatonCompetition: Moderate • Entry Level
|Pune, Maharashtra, IND|By CampusToCareer Editorial Team|Posted 3 days ago|Last verified 3 days ago
✓ Company career page verified✓ Application route verifiedLast checked on Jul 15, 2026
💼 Experience Required
Fresher
🕒 Employment Type
Full-time
🎓 Target Batch
2025, 2026
🚀 Role Category
Engineering
📌 How to Apply
Click on the Apply button
💰 Salary
15,000 - 30,000 Per Month
Skills Recommended
Machine Learning algorithmsStatistics and linear algebraData structures and basic algorithmsPythonscikit learnTensorFlow or PyTorchSQL
Career Guide • 15 min read

Complete preparation guide for Apprentice-IT at Eaton

The Apprentice-IT role at Eaton is ideal for a motivated AI/ML Engineering graduate who is eager to apply theory to real-world business problems under mentorship. The role involves working closely with senior AI/ML engineers, data scientists, and platform teams to build, experiment with, and operationalize machine learning solutions on enterprise-scale data platforms.

✓ AI Assisted • Fact CheckedCampusToCareer Editorial TeamUpdated 12 Jul 2026

About Eaton

Eaton is an intelligent power management company dedicated to protecting the environment and improving the quality of life for people everywhere. They make products for various markets, including data center, utility, industrial, commercial, and residential. The company is guided by its commitment to do business right, operate sustainably, and help customers manage power. By capitalizing on global growth trends of electrification and digitalization, Eaton is helping to solve the world’s most urgent power management challenges and building a more sustainable society.

Required Skills Explained

Machine Learning algorithms

Why required: To build and train machine learning models for structured and unstructured data use cases

How recruiters evaluate: The recruiter will evaluate the candidate's understanding of machine learning algorithms and their ability to apply them to real-world problems

  • Andrew Ng's Machine Learning course on Coursera
  • Machine Learning by Tom Mitchell

Statistics and linear algebra

Why required: To perform data analysis, preprocessing, and feature engineering on large datasets

How recruiters evaluate: The recruiter will evaluate the candidate's understanding of statistical concepts and linear algebra

  • Statistics and Probability by Khan Academy
  • Linear Algebra by MIT OpenCourseWare

Data structures and basic algorithms

Why required: To support experimentation using AutoML and custom ML approaches

How recruiters evaluate: The recruiter will evaluate the candidate's understanding of data structures and basic algorithms

  • Data Structures and Algorithms by GeeksforGeeks
  • Algorithms by Robert Sedgewick and Kevin Wayne

Python

Why required: To work with ML libraries such as scikit-learn, TensorFlow, or PyTorch

How recruiters evaluate: The recruiter will evaluate the candidate's proficiency in Python programming

  • Python for Everybody by Charles Severance
  • Python Data Structures by University of Michigan

scikit-learn

Why required: To build and train machine learning models

How recruiters evaluate: The recruiter will evaluate the candidate's understanding of scikit-learn library

  • scikit-learn documentation
  • scikit-learn tutorial by DataCamp

TensorFlow or PyTorch

Why required: To build and train machine learning models

How recruiters evaluate: The recruiter will evaluate the candidate's understanding of TensorFlow or PyTorch

  • TensorFlow documentation
  • PyTorch documentation

SQL

Why required: To work with datasets

How recruiters evaluate: The recruiter will evaluate the candidate's understanding of SQL

  • SQL by W3Schools
  • SQL by Tutorials Point

Who Should Apply

freshers

Freshers with a strong academic foundation in AI/ML who are eager to apply theory to real-world business problems

experienced

Not applicable

graduates

Graduates with a degree in Engineering (B.E./B.Tech) with specialization in AI, ML, Data Science, or Computer Science

btech

B.Tech graduates with a strong academic foundation in AI/ML

mca

Not applicable

diploma

Not applicable

Typical Hiring Process

  1. Round 1: Online assessment to evaluate technical skills
  2. Round 2: Technical interview to evaluate problem-solving skills
  3. Round 3: HR interview to evaluate communication skills and cultural fit

Resume Tips for This Role

  • Highlight relevant technical skills and projects
  • Include a brief summary of academic background and achievements
  • Use a clear and concise format

Interview Preparation Tips

  • Be prepared to explain technical concepts and projects
  • Show enthusiasm and interest in the role and company
  • Ask relevant questions about the company and role

Possible Interview Questions (10)

  1. What is your understanding of machine learning algorithms?
  2. How do you approach data preprocessing and feature engineering?
  3. Can you explain the concept of overfitting and how to prevent it?
  4. How do you evaluate the performance of a machine learning model?
  5. Can you describe a project you worked on that involved machine learning?
  6. How do you stay updated with the latest developments in AI/ML?
  7. Can you explain the concept of transfer learning?
  8. How do you approach model selection and hyperparameter tuning?
  9. Can you describe a situation where you had to work with a large dataset?
  10. How do you ensure the reproducibility of your results?

Salary Insights (India)

Industry range

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

Freshers

The average salary for a fresher AI/ML engineer in India is around ₹5-8 lakhs per annum

Experienced

The average salary for an experienced AI/ML engineer in India is around ₹12-20 lakhs per annum

The salary for AI/ML engineers is expected to grow rapidly in the coming years due to the increasing demand for AI/ML talent

Career Path Roadmap

1
AI/ML Engineer

Design and develop AI/ML models and deploy them to production

2
Senior AI/ML Engineer

Lead a team of AI/ML engineers and develop complex AI/ML models

3
AI/ML Researcher

Research and develop new AI/ML algorithms and techniques

Why This Opportunity Is Worth Considering

  • Opportunity to work with a leading company in the power management industry
  • Chance to work on complex AI/ML projects and develop new skills
  • Collaborative and dynamic work environment

Things To Know Before Applying

  • Eaton is a global company with a diverse workforce
  • The company has a strong commitment to sustainability and social responsibility
  • The role involves working with large datasets and developing AI/ML models

Recommended Courses

Machine Learning by Andrew Ng
Coursera

To learn the fundamentals of machine learning

Deep Learning by Ian Goodfellow
Coursera

To learn about deep learning concepts and techniques

Data Science with Python by DataCamp
DataCamp

To learn about data science concepts and techniques using Python

Career Advice

To succeed in this role, you need to have a strong foundation in AI/ML concepts and be able to apply them to real-world problems. You should also be able to work collaboratively with cross-functional teams and communicate complex technical concepts effectively.

Editorial Note: This role is ideal for freshers who are eager to apply their AI/ML skills to real-world problems. The company offers a collaborative and dynamic work environment, and the role involves working on complex AI/ML projects.
Written by CampusToCareer Editorial Team • AI Assisted • Fact Checked

Frequently Asked Questions

The salary range for this role is ₹15,000 - ₹30,000 per month
The salary for AI/ML engineers is expected to grow rapidly in the coming years due to the increasing demand for AI/ML talent
The key skills required for this role include machine learning algorithms, statistics and linear algebra, data structures and basic algorithms, Python, scikit-learn, TensorFlow or PyTorch, and SQL

Similar Roles to Explore

AI/ML EngineerData ScientistBusiness Analyst
Application trackerSkill learning pathsDaily coding practice
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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

Apprentice-IT

Pune, Maharashtra, IND, 411014

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Job description

Company and benefits

Job Req ID

63005

Work Type

Hybrid

Department

Information Technology

Hiring Program

Not Specified

Relocation Assistance

No

Shift Times

N/A

What you’ll do:

We are looking for a motivated AI/ML Engineering graduate to join our Artificial Intelligence and Machine Learning (AIML) team. This role is ideal for a fresher with a strong academic foundation in AI/ML who is eager to apply theory to real world business problems under mentorship.

You will work closely with senior AI/ML engineers, data scientists, and platform teams to build, experiment with, and operationalize machine learning solutions on enterprise scale data platforms.

• Assist in building and training machine learning models for structured and unstructured data use cases

• Perform data analysis, preprocessing, and feature engineering on large datasets

• Support experimentation using AutoML and custom ML approaches

• Evaluate model performance and assist in tuning for accuracy and robustness

• Work with AI/ML platforms and tools for model development and experimentation

• Collaborate with engineers and analysts to understand business problems and translate them into ML tasks

• Document experiments, learnings, and model outcomes clearly

• Follow best practices for responsible AI, data governance, and security

Qualifications:

• Bachelor’s degree in Engineering (B.E./B.Tech) with specialization in:

o Artificial Intelligence

o Machine Learning

o Data Science

o Computer Science (with strong AI/ML coursework)

Skills:

• Strong fundamentals in:

o Machine Learning algorithms

o Statistics and linear algebra

o Data structures and basic algorithms

• Working knowledge of Python

• Familiarity with ML libraries such as:

o scikit learn

o TensorFlow or PyTorch (basic exposure is sufficient)

• Basic understanding of SQL and working with datasets

Good to Have (Not Mandatory)

• Exposure to:

o Cloud platforms (Azure / AWS / GCP)

o Data platforms like Snowflake

o ML lifecycle concepts (training, evaluation, deployment)

• Academic or personal projects involving:

o Predictive modeling

o NLP or computer vision

o Time series forecasting

• Familiarity with notebooks, Git, or basic MLOps concepts

What You Will Learn

• End to end AI/ML use case development in an enterprise environment

• Working with real production scale datasets

• Model experimentation, evaluation, and promotion practices

• AI/ML platform tools and best practices

• How ML solutions are governed, monitored, and scaled

About Us

Eaton is an intelligent power management company dedicated to protecting the environment and improving the quality of life for people everywhere. We make products for the data center, utility, industrial, commercial and institutional, machine building, residential, aerospace and mobility markets. We are guided by our commitment to do business right, to operate sustainably and to help our customers manage power ─ today and well into the future. By capitalizing on the global growth trends of electrification and digitalization, we’re helping to solve the world’s most urgent power management challenges and building a more sustainable society for people today and generations to come.