D
AI Intern
DataDice Technologies Pvt Ltd
Greater Bengaluru AreaFresher5h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Machine learningData analysisData structures & algorithmsStatisticsPythonR
- Work
- Remote · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning26%Statistics16%Data analysis14%Data structures & algorithms13%of 99 similar fresher jobs posted in India this week
- Listed
- 3 Nov 2026 · still open
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About the Role
The AI Intern role at DataDice Technologies Pvt Ltd is a full-time, hybrid position based in the Greater Bengaluru Area, with some flexibility for work from home.
Key Responsibilities
- Assist in the design, development, and evaluation of machine learning models.
- Support data preprocessing and feature engineering.
- Contribute to exploratory data analysis.
- Write clean, well-documented code for prototypes and experiments.
- Run tests and analyze model performance.
- Collaborate with senior engineers and data scientists.
- Participate in code reviews.
- Prepare concise documentation.
- Contribute to research on new algorithms, tools, and frameworks relevant to ongoing projects.
Requirements & Tech Stack
- Foundational knowledge in Computer Science, including algorithms, data structures, and software engineering principles.
- Strong Analytical Skills with the ability to interpret data, identify patterns, and propose data-driven solutions.
- Understanding of Data Science concepts such as data preprocessing, exploratory data analysis, and statistical reasoning.
- Exposure to Machine Learning, including supervised and unsupervised methods, model evaluation, and basic deployment concepts.
- Programming skills in languages commonly used for AI and data science (e.g., Python, R, or similar), and familiarity with relevant libraries and tools.
- Ability to work collaboratively in a hybrid environment, manage time effectively, and communicate findings clearly in written and verbal form.
- Beneficial: Experience with version control (e.g., Git), basic understanding of cloud platforms, and interest in staying updated with AI research and industry trends.
Qualifications
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.