Eaton Off Campus Drive 2026 | Apprentice-IT | Pune — Apply Now

Eaton Off Campus Drive 2026 is now open! Eaton Corporation is actively hiring for the Apprentice-IT (AI/ML) role in Pune, Maharashtra, offering freshers a remarkable opportunity to work with an intelligent power management leader. This hybrid role is ideal for 2024, 2025, and 2026 batch B.E./B.Tech graduates in AI, Machine Learning, Data Science, or Computer Science who are eager to build their careers in enterprise-level AI/ML development.

Eaton Off Campus Drive 2026 – Full Job Details

About Eaton Corporation

Eaton Corporation is a global intelligent power management company dedicated to protecting the environment and improving the quality of life for people everywhere. With revenues of nearly $25 billion in 2024, Eaton serves customers in more than 160 countries across data center, utility, industrial, commercial, and mobility markets. Founded in 1911, Eaton has a strong presence in India and has been recognized as a Great Place to Work multiple times. The company is consistently ranked among the World’s Most Ethical Companies by Ethisphere and Forbes’ Most Admired Companies, making it a prestigious workplace for freshers to begin their careers.

Role Overview – Apprentice-IT (AI/ML Engineering)

As an Apprentice-IT in Eaton’s Artificial Intelligence and Machine Learning (AIML) team, you will work closely with senior AI/ML engineers, data scientists, and platform teams to build, experiment with, and operationalize machine learning solutions at enterprise scale. This is an ideal launchpad for freshers who want to apply their academic knowledge of AI/ML to real-world business problems under expert mentorship in a hybrid work environment in Pune.

Key Responsibilities

• Machine Learning Model Development: Assist in building and training machine learning models for structured and unstructured data use cases, working alongside experienced AI/ML engineers.
• Data Analysis and Feature Engineering: Perform data preprocessing, feature engineering, and exploratory analysis on large enterprise-scale datasets to prepare them for model training.
• Experimentation Support: Support experimentation using AutoML and custom ML approaches, and evaluate model performance by assisting in tuning for accuracy and robustness.
• Platform Collaboration: Work with AI/ML platforms and tools for model development and experimentation, gaining hands-on exposure to enterprise-grade technology stacks.
• Business Problem Translation: Collaborate with engineers and analysts to understand business problems and translate them into well-defined ML tasks with clear success criteria.
• Documentation: Document experiments, learnings, and model outcomes clearly to maintain knowledge continuity and support team-wide learning.
• Responsible AI Practices: Follow best practices for responsible AI, data governance, and security to ensure all ML solutions meet Eaton’s standards for ethical and compliant AI use.

Eligibility Criteria

• Educational Qualification: B.E./B.Tech in Artificial Intelligence, Machine Learning, Data Science, or Computer Science with strong AI/ML coursework
• Batch Year: 2024, 2025, or 2026 graduation batch
• Technical Skills: Strong fundamentals in Machine Learning algorithms, statistics and linear algebra, data structures; working knowledge of Python; familiarity with scikit-learn, TensorFlow, or PyTorch
• Database Skills: Basic understanding of SQL and working with datasets
• Good to Have: Exposure to cloud platforms (Azure/AWS/GCP), Snowflake, ML lifecycle concepts, or academic projects in NLP, computer vision, or predictive modeling

Selection Process

The Eaton Off Campus Drive 2026 follows a structured selection process to identify the best talent:

• Round 1 – Online Assessment: Aptitude test and technical screening covering ML fundamentals, Python, and data structures.
• Round 2 – Technical Interview: In-depth discussion on AI/ML concepts, past projects, Python programming, and problem-solving scenarios.
• Round 3 – HR Interview: Cultural fit assessment, communication evaluation, and discussion of career aspirations and expectations.

Salary & Benefits

Eaton Corporation has not disclosed the exact salary for this Apprentice-IT role. Compensation is competitive and in line with industry standards for IT apprenticeship programs. In addition to salary, Eaton offers comprehensive health insurance, performance-based incentives, learning and development allowances, mentorship from senior AI/ML experts, and a hybrid work model that ensures a healthy work-life balance.

How to Apply for Eaton Off Campus Drive 2026

1. Click the “Apply Now” button below.
2. You will be redirected to the official Eaton Corporation careers page on Eightfold AI.
3. Create an account or log in if required.
4. Fill in the application form with your academic details and upload your updated resume in PDF format.
5. Submit the application and note down the reference number (Job Req ID: 63005).

Note: freshershunt.in is a job information platform. We are not the recruiter. Always verify details on the official company careers page before applying.

Frequently Asked Questions – Eaton Off Campus Drive 2026

Q1. Who is eligible to apply for Eaton Off Campus Drive 2026?

Candidates with a B.E./B.Tech degree in Artificial Intelligence, Machine Learning, Data Science, or Computer Science (with strong AI/ML coursework) from the 2024, 2025, or 2026 graduation batch are eligible to apply for the Apprentice-IT role at Eaton, Pune.

Q2. What is the salary offered in Eaton Off Campus Drive 2026?

Eaton Corporation has not disclosed the exact salary for this role. Compensation will be competitive and in line with industry standards for IT apprenticeship programs at a Fortune 500 company.

Q3. What is the job location for this role?

The Apprentice-IT (AI/ML Engineering) role is based in Pune, Maharashtra. The position follows a hybrid work model, meaning candidates will work both from the Eaton Pune office and remotely.

Q4. What is the selection process for Eaton Off Campus Drive 2026?

The selection process includes an online aptitude and technical assessment (Round 1), followed by a technical interview covering AI/ML concepts, Python, and data structures (Round 2), and finally an HR interview for cultural and communication assessment (Round 3).

Q5. What is the last date to apply for Eaton Off Campus Drive 2026?

The exact last date has not been announced. We recommend applying as soon as possible since positions fill up quickly. Click the Apply Now button above to check the current status on the official Eaton careers page.

Also Read: Company Interview Experiences

• Latest Off Campus Drive Jobs 2026
• Off Campus Drive 2026 – All Companies
• IT Jobs in Pune for Freshers 2026
• AI ML Jobs for Freshers 2026