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AI Implementation Intern
About the Company
Sprinto is an AI-native GRC (Governance, Risk Management, and Compliance) platform designed to streamline risk management, audits, vendor oversight, and continuous monitoring through a unified system. The company boasts a global presence with over 350 employees, serving more than 3,000 clients in over 75 countries. Sprinto has secured $31.8 million in funding from prominent investors like Accel, Elevation, and Blume Ventures, indicating its strong growth trajectory. Renowned organizations such as Whatfix, Anaconda, Ultrahuman, WeWork, AI Foundation, and HackerRank trust Sprinto to support over 300 integrations and more than 200 global security standards, including SOC 2, ISO 27001, GDPR, HIPAA, and PCI-DSS. Founded in 2020 by experienced entrepreneurs Girish Redekar and Raghuveer Kancherla, Sprinto has been recognized as a Leader in Compliance Automation on G2 and has been consistently named a LinkedIn Top Startup.
Job Description
Sprinto is actively seeking a driven AI Implementation Intern to contribute to the development and refinement of its AI-powered solutions. This internship offers a valuable opportunity to engage with Sprinto’s AI infrastructure, aid in system optimization, and acquire practical expertise in machine learning and AI technologies. Working closely with experienced engineers, data scientists, and product teams, the intern will play a role in establishing efficient data pipelines and developer tools crucial for creating innovative AI-driven solutions. The role emphasizes a supportive and dynamic work environment where interns are encouraged to pursue ambitious ideas and deliver impactful results.
| Company Name | Sprinto |
|---|---|
| Role | AI Implementation Intern |
| Location | Bengaluru / Remote |
| Salary | |
| Job Type | Internship |
Responsibilities
- Assist engineering teams in identifying and resolving challenges associated with AI development, with a focus on enhancing efficiency and user-friendliness.
- Support the development and optimization of the AI infrastructure, including the creation of pipelines for model training and evaluation.
- Contribute to the advancement of centralized AI services, such as document parsing, search functionalities, and the integration of large language models (LLMs).
- Help in evaluating system performance and actively participate in proposing strategies for optimization.
- Engage in team discussions to foster a collaborative and innovative learning atmosphere.
Qualifications
- Currently pursuing a degree in Computer Science, Engineering, Data Science, or a related technical discipline.
- Possess a foundational understanding of machine learning concepts, data processing, and AI technologies.
- Proficient in Python and have familiarity with machine learning frameworks such as TensorFlow, PyTorch, or equivalent.
- Demonstrate strong problem-solving abilities and a proactive attitude towards rapid learning.
- Exhibit excellent communication skills and the capacity to work effectively within a team environment.
Skills
ATS Keywords
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Frequently Asked Questions
The job posting does not explicitly state the duration of the internship. Candidates are encouraged to inquire during the application process.
The posting does not specify salary or compensation details. This information is typically discussed during the interview process.
The job posting mentions a fast-paced environment but does not detail specific working hours.
The location is listed as Bengaluru Office / Remote / Remote, suggesting flexibility and potential for full-time remote work, but specifics should be clarified.
Yes, Sprinto may use AI tools to assist with parts of the hiring process, such as resume review and application analysis. However, final hiring decisions are made by humans.
Other Information
Sprinto may utilize artificial intelligence (AI) tools to support aspects of the hiring process, including application review, resume analysis, and response assessment. These tools are intended to assist the recruitment team and do not replace human judgment in making final hiring decisions. For further information regarding data processing, candidates are advised to contact the company.
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How to Apply
- Review Job Details: Read through all the job details on this page to understand the requirements and responsibilities.
- Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
- Fill Out the Application: On the official website, fill out the application form with the provided information.
- Double-Check Your Information: Before submitting your application, review all the details you’ve provided to ensure accuracy and completeness.
- Submit Your Application: Once you’re satisfied with your application, submit it through the official website as instructed.
