who is eager to learn and work on real-world AI applications. This internship is ideal for students or freshers who want hands-on exposure to machine learning models, data analysis, and AI-driven solutions.
Key Responsibilities
Assist in developing and training Machine Learning models.
Work with datasets for data cleaning, preprocessing, and analysis.
Implement ML algorithms such as regression, classification, clustering, and recommendation systems.
Support AI-based projects including chatbots, prediction systems, and automation tools.
Collaborate with the development team to integrate ML models into applications.
Document project workflows, models, and results.
Skills & Requirements
Basic knowledge of
Python
.
Familiarity with
Machine Learning concepts
.
Understanding of
NumPy, Pandas, Matplotlib/Seaborn
.
Basic exposure to
Scikit-learn / TensorFlow / PyTorch
(any one).
Knowledge of
statistics and linear algebra
is a plus.
Strong problem-solving skills and willingness to learn.
What You Will Learn
End-to-end Machine Learning project development.
Real-time data handling and model optimization.
AI model deployment basics.
Industry-standard AI tools and workflows.
Team collaboration and project documentation.
Internship Details
Duration:
1-3 Months (Flexible)
Mode:
On-site / Remote / Hybrid
Stipend:
Performance-based
(if applicable)
Certificate:
Internship Certificate + Project Experience Letter