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AI Implementation Intern

Role overview

Qualifications

  • 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.

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.

Key facts

Hard skills

Other skills

  • Problem Solving
  • Communication
  • Teamwork

About the company

Sprinto logo

Sprinto

RegTech (Regulatory & Compliance Technology)

Automating Information Security Compliances & Privacy Laws for fast growing SaaS companies. Use Sprinto to obtain information security compliance, close enterprise deals faster, and pass vendor security assessments easily.

Company details

Company typeScaleup
IndustryRegTech (Regulatory & Compliance Technology)
Company size201 - 500

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Job description

Sprinto is an Autonomous Trust Platform that centralizes trust requirements across security frameworks, vendors, and customers.

Sprinto autonomously executes tasks needed to maintain trust across compliance, audits, risk management, vendor risk, privacy, and AI governance, enabling organizations to maintain a strong, reliable trust posture without draining operational bandwidth and resources on repetitive tasks.

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 over 4,000 organizations across 75 countries, Sprinto helps organizations stay audit-ready, manage real-time risks, and scale fearlessly. With 300+ native integrations and AI-driven automation, Sprinto supports 200+ global security standards natively, including SOC 2, ISO 27001, GDPR, HIPAA, PCI-DSS, and more. Sprinto's extensible architecture enables organizations to build and support an infinite number of custom integrations and frameworks.

Founded in 2020 by second-time founders Girish Redekar and Raghuveer Kancherla, Sprinto powers compliance for organizations like Whatfix, Encora, Anaconda, Whatnot, Ultrahuman, WeWork, Everstage, AI Foundation, HackerRank, and many more.

Life as a Sprinter -

Nobody succeeds at Sprinto by staying in their lane.

We are organized around problems, not job titles. Sprinters take ownership beyond their role, solve hard problems, and care deeply about the impact they create. If something can be improved, fixed, or built, we don't wait for permission; we step in.

Being remote means we rely less on proximity and more on trust. We write things down, communicate openly, and move quickly because great teams aren't built by sitting together, they're built by pulling in the same direction.

We believe progress beats perfection, feedback is a gift, and doing the right thing matters, even when nobody is watching.

And while we move with urgency, we never move alone.

The mission -

We are seeking a motivated AI Implementation 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.    
Where you'll leave your mark?
  • 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.

  • The kind of builder we're looking for -
  • 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.
  • Inclusion & Diversity -

    At Sprinto, talent, curiosity, and ownership matter more than where you come from. We hire people for the problems they can solve, the impact they create, and the way they help others succeed—not their background, identity, or personal circumstances. We believe the best teams are built when people with different perspectives come together around a shared ambition to build something meaningful.

    We're proud to be an equal opportunity employer and are committed to creating a fair, inclusive, and accessible hiring process for everyone.

    Apply once. Then go straight to the hiring manager.

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
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