Artificial Intelligence Developer Intern

**Company Description** Aarvanta Limited builds scalable AI systems for businesses, agencies, and global partners by integrating automation, communication, lead generation, voice AI, and operational infrastructure into a unified ecosystem. The company focuses on practical, end-to-end AI solutions that help organizations streamline processes and improve customer engagement. Team members collaborate on real-world projects that deploy AI technologies across diverse industries. Aarvanta offers opportunities to work with modern tools and frameworks while contributing to products that are actively used in the market. **Role Description** This internship role involves assisting in the design, development, and testing of AI models and algorithms for production-ready systems. Daily tasks may include data preprocessing, building and evaluating models for pattern recognition, neural networks, and NLP, and supporting software development for AI-driven applications. The intern will collaborate with senior developers to integrate AI components into existing platforms, document technical work, and help troubleshoot issues. The role also includes learning and applying best practices in model deployment, performance optimization, and version control within a collaborative engineering environment. **Qualifications** * Candidates should possess foundational knowledge in Computer Science and Software Development, including data structures, algorithms, and coding in languages such as Python or Java. * Candidates should possess skills in Pattern Recognition and Neural Networks, with an understanding of machine learning concepts and experience using relevant frameworks (e.g., TensorFlow, PyTorch). * Candidates should possess capabilities in Natural Language Processing (NLP), including basic familiarity with text processing, language models, and common NLP libraries. * Candidates should possess strong analytical and problem-solving skills, with the ability to work with datasets, interpret results, and refine models based on feedback. * Candidates should possess effective collaboration and communication skills, and be able to document code, follow version control practices (e.g., Git), and work within a team-based development environment. * Enrollment in or completion of a degree program in Computer Science, Data Science, Artificial Intelligence, or a related field is preferred; prior internship or project experience in AI or ML is an added advantage.