Offer summary

Qualifications:

Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related technical field., Basic understanding of machine learning concepts and AI technologies., Experience with Python and familiarity with frameworks like TensorFlow or PyTorch., Strong problem-solving skills and excellent communication abilities..

Key responsibilities:

Assist engineering teams in solving challenges related to AI development.

Support the optimization of AI infrastructure and data pipelines.

Contribute to the development of centralized AI services and tools.

Participate in team discussions to foster a collaborative learning environment.

Job description

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 AI-powered solutions. In this internship, 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. Working alongside experienced engineers, data scientists, and product teams, you'll help 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 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.

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.