<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> We are looking for a highly motivated AI/ML Intern to join our dynamic team. This role is ideal for students or fresh graduates passionate about Artificial Intelligence and Machine Learning. As an AI/ML Intern, you will work closely with senior engineers to support the development, implementation, and optimization of AI/ML models, contributing to real-world solutions across various domains.<br/><br/>Core Responsibilities<br/><br/>Assist in designing, developing, and deploying AI/ML models for real-world applications.<br/><br/>Support implementation of machine learning algorithms and basic optimization for performance and efficiency.<br/><br/>Work with datasets, perform data preprocessing, and ensure data quality.<br/><br/>Collaborate with cross-functional teams, including data scientists, software engineers, and product managers.<br/><br/>Write clean, efficient, and well-documented code for AI/ML applications.<br/><br/>Support model training, evaluation, and fine-tuning using standard tools and frameworks.<br/><br/>Research and stay up to date with the latest advancements in AI/ML technologies.<br/><br/>Assist in integrating AI solutions into existing software systems.<br/><br/>Qualification<br/><br/>Currently pursuing or recently completed a Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.<br/><br/>Basic proficiency in Python (TensorFlow, PyTorch, Scikit-learn, etc.).<br/><br/>Understanding of fundamental machine learning concepts and algorithms.<br/><br/>Familiarity with data preprocessing, feature engineering, and model evaluation.<br/><br/>Basic knowledge of SQL or databases is a plus.<br/><br/>Exposure to version control tools such as Git.<br/><br/><strong>Requirements<br/><br/></strong>Required Skills<br/><br/>Strong interest in AI/ML with relevant academic or personal projects.<br/><br/>Basic knowledge of Natural Language Processing (NLP) or Computer Vision is a plus.<br/><br/>Familiarity with ML lifecycle concepts (training, testing, deployment).<br/><br/>Eagerness to learn, adapt, and work in a team environment.<br/><br/>Good problem-solving and communication skills. </div>