AI Implementation Intern

Role Overview

Sprinto is an AI-native GRC platform that helps organisations manage risks, audits, vendor oversight, and continuous monitoring from a single connected platform. We are seeking a motivated AI Implementation Intern to support the development and enhancement of our AI-powered solutions. This is a 6 months internship, where you'll have the opportunity to contribute to Sprinto's AI infrastructure, assist in optimizing systems, and gain hands-on experience with machine learning and AI technologies. You will work alongside experienced engineers, data scientists, and product teams to create efficient data pipelines and developer tools that enable innovative AI-driven solutions.

Responsibilities

• 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.

Requirements

• Currently either in the final semester or completed graduation/ post-graduation 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.
• Available for a duration of 6 months for a full time internship.
• 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.