Sprinto
AI Implementation Intern
- Eligibility
- Not stated
- Batch
- Not stated
- Experience
- Not stated
- Stipend
- Not stated
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About this role
About the role: - Contribute to AI services and infrastructure for a platform used in security and compliance work. - Work with engineers, data scientists and product colleagues. What you'll work on: - Help resolve engineering challenges that affect AI system efficiency and usability. - Support infrastructure and pipelines for training and evaluating models. - Improve shared AI services, including document parsing, search and LLM connections. - Examine system performance and suggest practical improvements. - Participate in technical discussions and collaborative development. What we're looking for: - Be pursuing computing, engineering, data science or a related technical degree. - Understand introductory ML, AI and data-processing concepts. - Have Python experience and familiarity with TensorFlow, PyTorch or similar frameworks. - Bring problem-solving, communication and willingness to learn. - Software or data-engineering coursework, cloud familiarity and interest in scalable AI services are preferred. Good to know: - The post says AI tools may assist parts of application review; people make final hiring decisions. - No stipend amount or internship duration is stated in the listing.