Eaton AI/ML Apprentice Hiring 2026 | Pune | Freshers | Software Jobs 2026

Apprentice (AI/ML Engineering) at Eaton 📍 Pune, India (Hybrid) 💰 ₹6.0 - 7.0 LPA 🎓 B.E. / B.Tech / B.Sc 📅 Posted: 2026-04-19 ⏳ Deadline: 2026-05-30 🏢 The Eaton Legacy & Future Founded in 1911, Eaton has spent over a century transforming from a small axle manufacturer into a global Intelligent Power Management powerhouse. With a staggering revenue of nearly $25 Billion in 2024 and a presence in over 160 countries, Eaton is at the forefront of the world's most critical transitions: Electrification and Digitalization. Eaton isn't just about hardware; it's about the software and intelligence that drives it. By integrating Artificial Intelligence (AI) and Machine Learning (ML) into industrial systems, Eaton helps data centers, aerospace components, and commercial buildings operate with unprecedented efficiency. Their mission is simple yet profound: to improve the quality of life and the environment through smarter power management solutions. ⭐ 4.1/5 Glassdoor Rating 👨‍💻 92,000+ Global Employees 🌍 110+ Years of Innovation 🚀 Why this AI/ML Apprentice Role Matters The industrial sector is currently witnessing a massive shift toward Industry 4.0. Companies are no longer just looking for mechanical stability; they are looking for predictive insights. This is where the AI/ML Engineering Apprentice comes in. At Eaton, you won't just be "learning"—you will be contributing to real-world business problems that impact global energy consumption. As an apprentice, you are placed within the Artificial Intelligence and Machine Learning (AIML) team. This team is responsible for operationalizing ML solutions on an enterprise scale. Whether it's optimizing a power grid using time-series forecasting or implementing Computer Vision for quality checks in manufacturing, your work has a direct line of sight to sustainability and safety. 📝 Job Title Apprentice (AI/ML) 💰 Expected Salary ₹6.0 - 7.0 LPA 🕒 Work Type Hybrid / Full-Time 🆔 Job Req ID 63005 ✅ Eligibility & Criteria Educational Qualification: Bachelor’s degree (B.E. / B.Tech / B.Sc) with specialization in Artificial Intelligence, Machine Learning, Data Science, or Computer Science. Batch Eligibility: Fresh graduates from 2024, 2025, and 2026 batches are highly encouraged. Academic Standing: Minimum 60% or 6.5 CGPA throughout 10th, 12th, and Graduation (No active backlogs). Experience Level: Strictly for Freshers (0 years of experience). Prior internships in Data Science are a plus. 📝 What You Will Do As An AI/ML Engineering Apprentice, You Are a Crucial Bridge Between Raw Data And Actionable Intelligence. Your Daily Tasks Will Include Model Development: Assist in building and training ML models for both structured (tabular) and unstructured (text/image) data. Data Engineering: Perform EDA (Exploratory Data Analysis), preprocessing, and feature engineering to prepare massive enterprise datasets for modeling. Experimentation: Support senior data scientists in testing AutoML pipelines vs. custom-coded architectures. Operational Excellence: Learn to use enterprise ML platforms (like Snowflake, Azure ML, or AWS SageMaker) to deploy and monitor models. Responsible AI: Ensure all models follow strict data governance, security, and ethical AI guidelines. 🧠 Skills Required Core Fundamentals: Python Programming Linear Algebra SQL Queries Probability & Stats ML Libraries & Frameworks Scikit-learn TensorFlow PyTorch Pandas/NumPy 🎯 Selection Process Online Assessment (OA) Features MCQ on Probability, Statistics, and Python logic. Includes 1-2 coding problems related to data manipulation. Technical Interview 1 Deep dive into your final year AI projects. Expect questions on Overfitting/Underfitting, Regularization, and Bias-Variance tradeoff. Technical Interview 2 / Managerial Focuses on problem-solving. How would you handle missing values in a dataset? How do you scale a model? HR & Culture Fit Understanding your passion for power management and suitability for Eaton's hybrid work culture. 📚 Free Preparation Hub 1 Andrew Ng's ML Specialization 2 Kaggle Learn - Python & Data Cleaning 💡 Winning Interview Tips 🔥 Pro-Tips For Eaton AI/ML Interview Explain 'Why': Don't just mention the algorithm you used; explain why you chose Random Forest over Linear Regression. Domain Knowledge: Read about "Predictive Maintenance" and "Grid Optimization"—these are Eaton’s main use cases. Code Cleanliness: If asked to code, focus on modularity and naming conventions. 🧾 Frequently Asked Questions Q: Is this role open for 2026 batch? A: Yes, students graduating in 2026 are eligible if they meet the degree requirements. Q: Does Eaton provide relocation assistance? A: Yes, for permanent hires. For apprentices, standard relocation support as per policy is provided. Q: What is the work mode for this role? A: It is a Hybrid role.