Sprinto is a leading platform that automates information security compliance. By raising the bar on information security Sprinto ensures compliance healthy operational practices and the ability for businesses to grow and scale with unwavering confidence. We are a team of 200 employees & helping 1000 Customers across 75 Countries. We are funded by top investment partners Accel ELEVATION & Blume Ventures and have raised 32 Million USD in funding including our latest Series B round
Role:
We are seeking a motivated AI Engineering Intern to support the development and enhancement of our AIpowered solutions. In this internship youll have the opportunity to contribute to Sprintos AI infrastructure assist in optimizing systems and gain handson experience with machine learning and AI technologies. Working alongside experienced engineers data scientists and product teams youll help create efficient data pipelines and developer tools that enable innovative AIdriven 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 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 problemsolving skills and a willingness to learn quickly.
Excellent communication skills and ability to work collaboratively in a team setting.
Preferred:
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.
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