Artificial Intelligence Intern
Innovate IT Media Pvt Ltd.
IndiaFresher3h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Machine learningPythonRGitPyTorchTensorFlow
- Work
- On-site in India · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python75%Machine learning70%Git26%of 99 similar fresher jobs posted in India this week
- Listed
- 31 Oct 2026 · still open
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About the Role
The Artificial Intelligence Intern will contribute to the design, development, and evaluation of AI and machine learning solutions under the guidance of experienced mentors. This is a full-time remote role, requiring consistent availability, proactive communication, and the ability to work independently while meeting project deadlines.
Key Responsibilities
- Researching AI techniques.
- Assisting in building and testing AI and machine learning models.
- Writing clean and efficient code.
- Analyzing datasets.
- Documenting experiments and results.
- Collaborating with technical teams on projects.
- Participating in code reviews.
- Supporting the integration of AI components into existing systems or prototypes.
Requirements & Tech Stack
- Python, R, or similar programming languages.
- Git for version control.
- TensorFlow, PyTorch, scikit-learn (familiarity).
- Cloud platforms (exposure).
- APIs (exposure).
- Basic software deployment practices (exposure).
Qualifications
- Strong foundation in Computer Science, including algorithms, data structures, and software development principles.
- Demonstrated Analytical Skills for problem-solving, data interpretation, and evaluating model performance.
- Knowledge of Data Science concepts such as data preprocessing, feature engineering, and basic statistical methods.
- Familiarity with Machine Learning techniques, model training, and evaluation.
- Ability to learn quickly, work collaboratively in a remote environment, and communicate technical ideas clearly in written and spoken form.
- Enrollment in or completion of a degree in Computer Science, Data Science, Engineering, or a related field is preferred.