Artificial Intelligence Intern

Company Description Applogika is an AWS Advanced Tier Services Partner and Anthropic Select partner specialising in cloud-native services for enterprise clients. The team designs, builds, and operates scalable cloud and data platforms on AWS to support complex business needs. Applogika helps organisations accelerate time-to-value across cloud migrations, data analytics, and product development. The company focuses on modern engineering practices, innovation, and collaboration to deliver robust, high-performance solutions. As an intern, you will have the opportunity to learn from experienced cloud, data and AI professionals working on real-world projects.Role Description: The Artificial Intelligence Intern role is a full-time, hybrid position based in Hyderabad (Remote). Day-to-day responsibilities include assisting in the design, development, and evaluation of LLMs. Agentic AI and data-driven solutions. The intern will work with engineering and data teams to implement AI prototypes, conduct experiments, and analyse model performance. Responsibilities also include data preprocessing, basic feature engineering, documentation of workflows, and support in integrating AI components into existing cloud-native applications. The role offers mentorship, hands-on project experience, and exposure to Anthropic, AWS-based AI and data platforms.QualificationsStrong foundation in Computer Science, including algorithms, data structures, and software engineering concepts.Analytical Skills to interpret data, evaluate model performance, and solve complex technical problems.Programming skills in languages such as Python, Java, or similar, with familiarity in relevant libraries and tools.Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.Interest in cloud, data &AI technologies, preferably AWS, Anthropic, and willingness to learn AI/ML services in cloud environments.Ability to work collaboratively in a team, communicate clearly, and manage tasks in a hybrid work setting.Exposure to version control (e.g., Git) and basic software development practices is an advantage.