AI Implementation Intern

🕒 July 6

🇮🇳 India – Remote

👨‍🎓 Internship

⚪️ Entry-level

🤖 Artificial Intelligence

👻 Ghost score 29%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sprinto

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

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.

📋 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.

🎯 Requirements

• Currently either in the final semester or completed graduation/ post-graduation 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. • Available for a duration of 6 months for a full time internship. • Excellent communication skills and ability to work collaboratively in a team setting. • 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.