Job Description Role - AI Engineer Intern Exp - 6 months - 1year Location - Mohali, PB Work Mode - Work from office ( 12-10pm IST) Position Overview We are seeking a highly motivated AI Engineer Intern to join our engineering team. This is an exciting opportunity to work alongside experienced engineers and researchers to develop, train, and deploy AI models. You//'ll also explore and implement modern AI tools to improve workflows and enhance productivity across internal teams. Key Responsibilities  Assist in designing, developing, and testing machine learning models.  Collect, clean, and preprocess datasets for training and evaluation.  Perform exploratory data analysis (EDA) to extract meaningful insights.  Implement and optimize algorithms using frameworks such as TensorFlow, PyTorch, or scikit-learn.  Collaborate with cross-functional teams to integrate models into production environments.  Explore emerging AI tools and platforms (e.g., automation, NLP assistants, no-code AI, etc.) and evaluate their applicability to internal operations.  Prototype and implement AI-driven solutions to streamline internal processes, such as documentation, data analysis, reporting, or workflow automation.  Document findings, models, and codebase to ensure reproducibility.  Stay updated with the latest trends and advancements in AI/ML. Qualifications  Currently pursuing a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.  Solid understanding of machine learning concepts and algorithms.  Proficiency in Python and common ML libraries (e.g., NumPy, pandas, scikit- learn).  Experience with deep learning frameworks such as PyTorch or TensorFlow is a plus.  Familiarity with NLP, computer vision, or time series analysis is a bonus.  Strong analytical and problem-solving skills.  Excellent communication and teamwork abilities. Preferred Qualifications  Previous project or internship experience in AI/ML.  Interest or experience in productivity tools, automation, or process optimization.  Knowledge of cloud platforms (AWS, GCP, or Azure).  Experience with version control (e.g., Git) and collaborative development.