## What youu2019ll 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 strong 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.nnu2022 Assist in building and training machine learning models for structured and unstructured data use cases nu2022 Perform data analysis, preprocessing, and feature engineering on large datasets nu2022 Support experimentation using AutoML and custom ML approaches nu2022 Evaluate model performance and assist in tuning for accuracy and robustness nu2022 Work with AI/ML platforms and tools for model development and experimentation nu2022 Collaborate with engineers and analysts to understand business problems and translate them into ML tasks nu2022 Document experiments, learnings, and model outcomes clearly nu2022 Follow best practices for responsible AI, data governance, and securitynn## Qualifications:nnu2022 Bacheloru2019s 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:nnu2022 Strong fundamentals in: no Machine Learning algorithms no Statistics and linear algebra no Data structures and basic algorithms nu2022 Working knowledge of Python nu2022 Familiarity with ML libraries such as: no scikit learn no TensorFlow or PyTorch (basic exposure is sufficient) nu2022 Basic understanding of SQL and working with datasetsnnGood to Have (Not Mandatory) nu2022 Exposure to: no Cloud platforms (Azure / AWS / GCP) no Data platforms like Snowflake no ML lifecycle concepts (training, evaluation, deployment) nu2022 Academic or personal projects involving: no Predictive modeling no NLP or computer vision no Time series forecasting nu2022 Familiarity with notebooks, Git, or basic MLOps conceptsnn nWhat You Will Learn nu2022 End to end AI/ML use case development in an enterprise workplace nu2022 Working with real production scale datasets nu2022 Model experimentation, evaluation, and promotion practices nu2022 AI/ML platform tools and best practices nu2022 How ML solutions are governed, monitored, and scaledn

📌 Apprentice-IT (Pune)
🏢 Important Company of the Sector
📍 Pune