Eaton Careers Opportunities for Graduate Entry Level Freshers | 0 - 3 yrs

Eaton is Hiring Fresh Engineering Graduates | Entry Level Jobs 2026

Eaton is hiring graduate or Post-Graduate freshers for entry-level Mechanical and Electrical Engineer roles across multiple domains, including Technology, Engineering, Automotive, Supply Chain, Manufacturing, Finance, HR, Management, Sales, Marketing, and Operations. This is an excellent opportunity to kickstart your career with a global leader and gain exposure to diverse fields.

Careers at Eaton for Graduate Freshers 

Eaton company is a German subsidiary of the US American Eaton Corporation. Within the Eaton Group, we specialize in the manufacture of market-leading products in the areas of bag and cartridge filter systems, gas/liquid separators and strainer filters.

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Job Overview:

Company Name Eaton
Job Role Engineer
Experience 0 – 2 yrs
Qualification  B.E/ B.Tech / ME./ M.Tech
Mode of Hiring Online
Salary As per Norms
Job Location PAN, India
Employment Type Full Time

Begin your career at Eaton, where innovation meets impact. Work hands-on across power electronics, mechanical, and electrical engineering, gain real-world exposure, and build skills for the future of energy management.

Apprentice-IT

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

Who Can apply?

  • Bachelor’s degree in Engineering (B.E./B.Tech) with specialization in:
  • Artificial Intelligence
  • Machine Learning
  • Data Science
  • 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

Salary:

The salary for this position ranges decide as per company norms, The exact pay will depend on the candidate’s skills, experience, qualifications, location, and applicable employment laws.

Selection Process :

  • Online Application
  • Resume Shortlisting
  • Online Assessment
  • Technical Interview
  • Behavioral / HR Interview
  • Offer & Onboarding

How to Apply

Candidates can apply through the official company careers website. & complete the registration and submit the application before the deadline by clicking blow link

Click here to Register Now!

Eaton Frequently Ask Question FAQ:

What skills are preferred?
Technical knowledge in your engineering discipline, problem-solving, teamwork, and communication skills.

What growth opportunities are offered?
Eaton provides training, mentorship, and career development opportunities across multiple domains and global projects.

How can I apply?
Visit Eaton’s careers portal or the official job posting to submit your application online.

Disclaimer:

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