## What youu****ll do:nnWe 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 robust academic foundation in AI/ML who is eager to apply theory to real world business problems under mentorship. nYou 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.nnu**** Assist in building and training machine learning models for structured and unstructured data use cases nu**** Perform data analysis, preprocessing, and feature engineering on large datasets nu**** Support experimentation using AutoML and custom ML approaches nu**** Evaluate model performance and assist in tuning for accuracy and robustness nu**** Work with AI/ML platforms and tools for model development and experimentation nu**** Collaborate with engineers and analysts to understand business problems and translate them into ML tasks nu**** Document experiments, learnings, and model outcomes clearly nu**** Follow best practices for responsible AI, data governance, and securitynn## Qualifications:nnu**** Bacheloru****s degree in Engineering (B.E./B.Tech) with specialization in:



no Artificial Intelligence no Machine Learning no Data Science no Computer Science (with strong AI/ML coursework)nn## Skills:nnu**** Strong fundamentals in: no Machine Learning algorithms no Statistics and linear algebra no Data structures and basic algorithms nu**** Working knowledge of Python nu**** Familiarity with ML libraries such as: no scikit learn no TensorFlow or PyTorch (basic exposure is sufficient) nu**** Basic understanding of SQL and working with datasetsnnGood to Have (Not Mandatory) nu**** Exposure to: no Cloud platforms (Azure / AWS / GCP) no Data platforms like Snowflake no ML lifecycle concepts (training, evaluation, deployment) nu**** Academic or personal projects involving: no Predictive modeling no NLP or computer vision no Time series forecasting nu**** Familiarity with notebooks, Git, or basic MLOps conceptsnn nWhat You Will Learn nu**** End to end AI/ML use case development in an enterprise environment nu**** Working with real production scale datasets nu**** Model experimentation, evaluation, and promotion practices nu**** AI/ML platform tools and best practices nu**** How ML solutions are governed, monitored, and scaledn

📌 Apprentice-It (Maharashtra)
🏢 Eaton
📍 Maharashtra