- 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
Sprinto Recruitment Drive 2025 | Sprinto Hiring Software Engineer
The job you are looking for is no longer available..- 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
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.
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