Sprinto - AI Implementation Intern

• Assist engineering teams in identifying and solving challenges related to AI development, focusing on improving efficiency and usability. • Support the development and optimization of AI infrastructure, including pipelines for model training and evaluation. • Contribute to the development and improvement of centralized AI services, such as document parsing, search tools, and integration of large language models (LLMs). • Help evaluate system performance and participate in proposing solutions for optimization. • Actively participate in team discussions, fostering a collaborative and innovative learning environment. • Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related technical field. • Basic understanding of machine learning concepts, data processing, and AI technologies. • Experience with Python and familiarity with frameworks like TensorFlow, PyTorch, or similar.Strong problem-solving skills and a willingness to learn quickly. • Excellent communication skills and ability to work collaboratively in a team setting. • Experience or coursework in software development and data engineering. • Familiarity with cloud services like AWS, GCP, or Azure. • Interest in developing scalable AI systems and services.