Eaton Hiring Freshers 2026 | Apprentice IT AI/ML Engineering Opportunity

Eaton Hiring Freshers | Apprentice-IT

Introduction

Eaton is hiring fresh engineering graduates for the Apprentice-IT role in its Artificial Intelligence and Machine Learning (AIML) team. This opportunity is ideal for candidates with a strong academic background in AI, Machine Learning, Data Science, and Computer Science who want to gain hands-on experience working on enterprise-scale machine learning solutions, real-world datasets, and advanced AI platforms.

Eaton Hiring Freshers – Apprentice-IT

Job Description

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.

Roles & Responsibilities

• 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:
  • Artificial Intelligence
  • Machine Learning
  • Data Science
  • Computer Science (with strong AI/ML coursework)

Skills

• Strong fundamentals in:
  • Machine Learning algorithms
  • Statistics and linear algebra
  • Data structures and basic algorithms
• Working knowledge of Python.
• Familiarity with ML libraries such as:
  • scikit learn
  • TensorFlow or PyTorch (basic exposure is sufficient)
• Basic understanding of SQL and working with datasets.

Good to Have (Not Mandatory)

• Exposure to:
  • Cloud platforms (Azure / AWS / GCP)
  • Data platforms like Snowflake
  • ML lifecycle concepts (training, evaluation, deployment)
• Academic or personal projects involving:
  • Predictive modeling
  • NLP or computer vision
  • 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.

Frequently Asked Questions (FAQ)

1. What role is Eaton hiring for?
Eaton is hiring for the Apprentice-IT role.

2. Who can apply for this opportunity?
Candidates with a B.E./B.Tech degree specializing in Artificial Intelligence, Machine Learning, Data Science, or Computer Science with strong AI/ML coursework can apply.

3. Is this opportunity suitable for freshers?
Yes, the role is specifically designed for AI/ML Engineering fresh graduates.

4. What programming language is required?
Working knowledge of Python is required.

5. What AI/ML technologies are mentioned in the job description?
Machine Learning Algorithms, scikit-learn, TensorFlow, PyTorch, AutoML, SQL, Cloud Platforms, Snowflake, NLP, Computer Vision, Time Series Forecasting, and MLOps concepts.