Apprentice – IT

Urgent
Application ends: August 1, 2026
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Job Description

πŸ†”Job ID: 63005
🏒Company: Eaton Corporation
πŸ“Location: Pune, Maharashtra, India πŸŒ†
πŸ’ΌJob Type: Full-Time Apprenticeship πŸ’»
🏒Work Mode: Hybrid 🏒
⏳Experience: Freshers Eligible πŸŽ“
πŸŽ“Education: B.E./B.Tech in Artificial Intelligence, Machine Learning, Data Science, Computer Science, or related field πŸŽ“
πŸ’°Expected Salary: β‚Ή3 – β‚Ή5 Lakhs Per Year πŸ’Έ
πŸ“ŠJob Category: Artificial Intelligence, Machine Learning, Engineering, Data Science, Information Technology, Software Engineering, Analytics 🌐
🌐Website: Website
πŸ“žContact: Contact us


🌟About the Company:
Eaton Corporation is a global intelligent power management company 🌍⚑ dedicated to improving quality of life and protecting the environment through innovative electrical, aerospace, industrial, and digital solutions.Founded in 1911, Eaton serves customers across more than 180 countries and helps businesses address the world’s growing challenges in electrification, sustainability, and digital transformation πŸš€πŸŒ±


πŸ’‘About the Role:
Eaton is hiring an Apprentice – IT πŸ€– for its Artificial Intelligence and Machine Learning (AIML) team in Pune.This opportunity is ideal for fresh engineering graduates who are passionate about AI, Machine Learning, Data Science, and analytics. Candidates will work closely with experienced AI/ML engineers and data scientists to build, experiment with, and deploy machine learning solutions on enterprise-scale datasets.The role offers hands-on exposure to real-world AI projects, production-scale data environments, machine learning platforms, and modern enterprise AI practices πŸš€


πŸ“ŒKey Responsibilities:
πŸ“Œ Assist in building and training machine learning models πŸ€–
πŸ“Œ Perform data analysis, preprocessing, and feature engineering πŸ“Š
πŸ“Œ Support experimentation using AutoML and custom ML techniques βš™οΈ
πŸ“Œ Evaluate and optimize model performance for accuracy and reliability πŸ“ˆ
πŸ“Œ Work with AI/ML platforms and model development tools πŸ’»
πŸ“Œ Collaborate with engineers and analysts to solve business problems 🀝
πŸ“Œ Document experiments, findings, and model outcomes πŸ“
πŸ“Œ Follow responsible AI, security, and data governance standards πŸ”
πŸ“Œ Contribute to enterprise-scale AI and analytics initiatives πŸš€


🎯Requirements:
🎯 Bachelor’s Degree (B.E./B.Tech) in AI, ML, Data Science, Computer Science, or related field πŸŽ“
🎯 Strong understanding of Machine Learning algorithms πŸ€–
🎯 Knowledge of Statistics and Linear Algebra πŸ“š
🎯 Understanding of Data Structures and Algorithms πŸ’»
🎯 Proficiency in Python programming 🐍
🎯 Basic SQL knowledge and data handling skills πŸ—„οΈ
🎯 Good analytical and problem-solving abilities 🧠
🎯 Strong communication and teamwork skills πŸ’¬


🌟Preferred Skills:
βœ… Familiarity with Scikit-Learn, TensorFlow, or PyTorch πŸ€–
βœ… Exposure to AWS, Azure, or Google Cloud ☁️
βœ… Knowledge of Snowflake or modern data platforms πŸ“Š
βœ… Understanding of ML lifecycle concepts πŸ”„
βœ… Experience with NLP, Computer Vision, or Predictive Analytics 🧠
βœ… Familiarity with Git, Jupyter Notebooks, and MLOps concepts βš™οΈ
βœ… Academic or personal AI/ML projects πŸ“š
βœ… Interest in enterprise-scale AI solutions πŸš€


🌟What You Will Learn:
βœ… End-to-end AI/ML solution development πŸš€
βœ… Working with production-scale datasets πŸ“Š
βœ… Model experimentation, evaluation, and deployment πŸ€–
βœ… Enterprise AI platform tools and best practices βš™οΈ
βœ… AI governance, monitoring, and scalability concepts πŸ“ˆ
βœ… Collaboration with experienced AI engineers and data scientists πŸ‘¨β€πŸ’»


🌟Why Join Eaton?
βœ… Work with a global Fortune 500 company 🌍
βœ… Gain real-world AI/ML industry experience πŸ€–
βœ… Exposure to enterprise-scale machine learning projects πŸš€
βœ… Learn from experienced AI engineers and data scientists πŸ‘¨β€πŸ’»
βœ… Hybrid work flexibility 🏠🏒
βœ… Strong career growth opportunities in AI and Data Science πŸ“ˆ
βœ… Contribute to sustainable and innovative technologies 🌱⚑
βœ… Global exposure across multiple industries and technologies 🌐