**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 Positive 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

📌 Apprentice-IT (Pune)
🏢 Eaton
📍 Pune