Sprinto Recruitment Drive 2025 | Sprinto Hiring Software Engineer

www.djobbuzz.com 18 May 2025
Company Name
Sprinto
Company Website
https://sprinto.com/
Job Role
Software Engineer
Job Type
  • Internship
Job Location
  • Gurugram
Skills
  • Python
Education
  • BE/BTech
Branch
  • CS
  • IT
Job will expire on
17 Jul 2025

About Company

  • 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

Job Overview

  • 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

Eligibility Criteria

  • 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.

Job Description

  • 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.