AI Implementation Intern
Sprinto is an AI-native GRC platform that helps organisations manage risks, audits, vendor oversight, and continuous monitoring from a single connected platform. With a team of 350+ employees serving 3,000+ customers across 75+ countries , Sprinto combines scale with expertise to deliver trust and compliance. Backed by top-tier investors such as Accel, Elevation, and Blume Ventures, we’ve raised $31.8M in funding to fuel our mission. Trusted by leading organisations including Whatfix, Anaconda, Ultrahuman, WeWork, AI Foundation, and HackerRank, Sprinto supports 300+ integrations and 200+ global security standards , including SOC 2, ISO 27001, GDPR, HIPAA, and PCI-DSS.
Founded in 2020 by second-time entrepreneurs Girish Redekar and Raghuveer Kancherla, Sprinto is recognised as a Leader on G2 in Compliance Automation and has been named a LinkedIn Top Startup multiple years in a row.
Sprint With Sprinters
At Sprinto , your work has purpose — and your life has space. We are a workplace where you’re empowered to execute on your most ambitious ideas and deliver your best output in a fast-paced, innovative, and supportive environment.
Joining Sprinto means you will never run alone; you will always have the freedom to take your shot and the support to go farther than you imagined.
What The Role Involves?
We are seeking a motivated AI Implementation Intern to support the development and enhancement of our AI-powered solutions. This is a 6 months internship , where 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.
What Your Impact Will Look Like:
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Assist engineering teams in identifying and solving challenges related to AI development, focusing on improving efficiency and usability.
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Support the development and optimization of AI infrastructure, including pipelines for model training and evaluation.
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Contribute to the development and improvement of centralized AI services, such as document parsing, search tools, and integration of large language models (LLMs).
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Help evaluate system performance and participate in proposing solutions for optimization.
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Actively participate in team discussions, fostering a collaborative and innovative learning environment.
What You’ll Bring To The Team:
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Currently either in the final semester or completed graduation/ post-graduation in Computer Science, Engineering, Data Science, or a related technical field.
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Basic understanding of machine learning concepts, data processing, and AI technologies.
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Experience with Python and familiarity with frameworks like TensorFlow, PyTorch, or similar.Strong problem-solving skills and a willingness to learn quickly.
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Available for a duration of 6 months for a full time internship.
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Excellent communication skills and ability to work collaboratively in a team setting.
Preferred:
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Experience or coursework in software development and data engineering.
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Familiarity with cloud services like AWS, GCP, or Azure.
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Interest in developing scalable AI systems and services.
Originally posted on Himalayas