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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.