What you’ll do:

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

Qualifications:

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

About Us

Eaton is an intelligent power management company dedicated to protecting the environment and improving the quality of life for people everywhere. We make products for the data center, utility, industrial, commercial, machine building, residential, aerospace and mobility markets. We are guided by our commitment to do business right, to operate sustainably and to help our customers manage power ─ today and well into the future. By capitalizing on the global growth trends of electrification and digitalization, we’re helping to solve the world’s most urgent power management challenges and building a more sustainable society for people today and generations to come.
Founded in 1911, Eaton has continuously evolved to meet the changing and expanding needs of our stakeholders. With revenues of nearly $25 billion in 2024, the company serves customers in more than 160 countries. For more information, visit www.eaton.com Follow us on LinkedIn.