Eaton is thrilled to announce an exclusive off-campus drive for its highly sought-after Apprentice Program. This exceptional opportunity is tailored for aspiring IT Apprentice, specifically welcoming talented freshers looking to launch their careers. The successful candidates will be based at our advanced facility in Pune…
Eaton Off Campus Overview:
| Job Title | IT Apprentice |
| Qualification | B.E/B.Tech |
| Batch | 2026/2025/2024 or any |
| Salary | As Per Standard |
| Job Location | Pune |
| Venue Location | Online |
| Last Date | ASAP |
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.
• 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
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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
How To Apply:
The interested and eligible graduates register for the Eaton position on the following application link.
Apply Link: Click Here Link 1




