AI Implementation Intern

Sprinto is hiring an AI Implementation Intern to support the development and improvement of its AI-powered solutions and infrastructure. Sprinto is an Autonomous Trust Platform that helps organizations manage security compliance, audits, risk management, privacy, and AI governance. Key Responsibilities: Assist engineering teams in identifying and solving challenges related to AI development, with a focus on improving efficiency and usability. Support the development and optimization of AI infrastructure, including pipelines for model training and evaluation. Contribute to centralized AI services, including document parsing, search tools, and Large Language Model (LLM) integrations. Evaluate system performance and help identify opportunities for optimization. Collaborate with engineers, data scientists, and product teams to develop efficient data pipelines and developer tools. Participate in technical discussions and contribute to a collaborative development environment. Required Qualifications: Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related technical field. Basic understanding of machine learning, data processing, and AI technologies. Knowledge of Python programming. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or similar tools. Strong problem-solving skills and willingness to learn quickly. Good communication and teamwork skills. Preferred Qualifications: Experience or coursework in software development and data engineering. Familiarity with cloud platforms such as AWS, GCP, or Azure. Interest in building scalable AI systems and services.