Eaton Recruitment Program 2026 | Hiring Apprentice-IT – WFH (Hybrid)

About the Role

This Apprentice-IT role at Gainwell Technologies is an exciting opportunity for freshers to gain hands-on experience in machine learning and AI. As an Apprentice-IT, you will assist in building and training machine learning models for structured and unstructured data use cases, perform data analysis, and work with AI/ML platforms and tools for model development and experimentation.

Key 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.

Skills & Qualifications

• Strong fundamentals in machine learning algorithms, statistics, and linear algebra.
• Working knowledge of Python programming language.
• Familiarity with ML libraries such as scikit-learn, TensorFlow, or PyTorch.
• Basic understanding of SQL and working with datasets.
• Graduation degree in a relevant field (e.g., computer science, mathematics, statistics).
• Good problem-solving skills and ability to work in a team.
• Strong communication and documentation skills.

What You'll Learn

In this role, you will gain hands-on experience in machine learning and AI, working with large datasets and AI/ML platforms. You will learn to build and train machine learning models, perform data analysis, and work with engineers and analysts to understand business problems and translate them into ML tasks.

Resume Tip

When applying for this role, make sure to highlight your experience with Python programming language, machine learning algorithms, and ML libraries such as scikit-learn, TensorFlow, or PyTorch. Also, emphasize your problem-solving skills, ability to work in a team, and strong communication and documentation skills.