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SprintoVia Unstop

Posted 2d ago

AI Implementation Internship

Pay

Stipend (undisclosed)

Location

Remote, India

Remote

Type

Internship

Apply by

11 Nov

6 days left

Skills this role screens for

PythonArtificial intelligence (AI)Machine learning conceptsTensorflowPytorch

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Responsibilities

What you'll do

  • Assist engineering teams in identifying and solving AI development challenges focused on efficiency and usability
  • Support development and optimization of AI infrastructure, including model training and evaluation pipelines
  • Contribute to centralized AI services such as document parsing, search tools, and LLM integration
  • Help evaluate system performance and propose optimization solutions
  • Actively participate in team discussions to foster a collaborative, innovative learning environment

Requirements

What they'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
  • Experience or coursework in software development and data engineering
  • Familiarity with cloud services such as AWS, GCP, or Azure
  • Interest in developing scalable AI systems and services
Full description from the employer

Sprinto is hiring for the Role of AI Implementation Intern! Responsibilities of the Intern: • 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 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. • 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

Where this listing comes from

From a public listing board (Unstop).

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