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Artificial Intelligence Intern

GS International / GSI Industries pvt ltd.

Kanpur, Uttar Pradesh, IndiaFresher30m agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 1 year
Must know
Machine learningData structures & algorithmsData analysisPythonR
Nice to have
Git
Work
Hybrid in Kanpur · internship
Pay
Not stated by the employer.
Skill demand
Machine learning70%Python70%Data structures & algorithms20%Data analysis6%of 99 similar fresher jobs posted in India this week
Listed
28 Oct 2026 · still open

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About the Role

The Artificial Intelligence Intern will support the design, development, and testing of AI and machine learning models for internal projects and client-focused solutions. This is a full-time hybrid role based in Kanpur.

Key Responsibilities

  • Collect and preprocess data.
  • Explore datasets.
  • Implement algorithms.
  • Assist with model evaluation and performance tuning.
  • Document workflows.
  • Prepare basic reports or presentations.
  • Collaborate with senior engineers and data scientists to integrate models into applications or prototypes.
  • Research new AI techniques.
  • Experiment with proof-of-concept implementations.
  • Maintain organized code repositories.

Requirements & Tech Stack

  • Strong foundation in Computer Science, including data structures, algorithms, and basic software engineering principles.
  • Demonstrated Analytical Skills for problem-solving, data interpretation, and evaluating model performance.
  • Exposure to Data Science concepts such as data cleaning, exploratory data analysis, and basic visualization.
  • Understanding of Machine Learning fundamentals, including supervised and unsupervised learning, model training, and validation.
  • Hands-on Programming experience in languages commonly used for AI (e.g., Python, R, or similar), and familiarity with relevant libraries or frameworks.
  • Good written and verbal communication skills, with the ability to document work clearly and collaborate in a team setting.
  • Curiosity and willingness to learn new tools, frameworks, and methodologies in AI and data science.
  • Familiarity with version control systems (e.g., Git) and basic software development workflows is an advantage.
  • Interest in applying AI to industrial or business use cases and contributing to practical, deployable solutions.

Qualifications

  • Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related technical field.

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