Key Responsibilities
- Collect, clean, and preprocess data for analysis and model development.
- Develop and evaluate machine learning models for real-world problems.
- Perform data analysis to identify trends, patterns, and insights.
- Create data visualizations and dashboards to communicate findings.
- Assist in building predictive models using Python and machine learning libraries.
- Collaborate with the team on AI and data science projects.
- Document project progress and present analytical findings.
Required Skills
- Basic knowledge of Python programming.
- Understanding of Statistics, Mathematics, and Probability.
- Familiarity with NumPy, Pandas, Matplotlib, and Scikit-learn.
- Basic knowledge of SQL and database concepts.
- Understanding of machine learning algorithms (Regression, Classification, Clustering).
- Knowledge of TensorFlow or PyTorch is an added advantage.
- Strong analytical, logical thinking, and problem-solving skills.
Eligibility
- Students or recent graduates in Computer Science, Data Science, Artificial Intelligence, Information Technology, Statistics, Mathematics, or a related field.
- Passion for data-driven decision-making and artificial intelligence. Internship Details
- Location: Remote
- Duration: 3 Months
- Stipend: Performance-based (Up to ₹6,000)
- Certificates: Internship Certificate, Training Certificate, and Letter of Recommendation (LOR)
What You Will Gain
- Hands-on experience with real-world datasets and AI projects.
- Practical exposure to machine learning model development and deployment.
- Experience with industry-standard data science tools and libraries.
- Mentorship from experienced data scientists and AI engineers.
- Opportunity to build an impressive portfolio of machine learning projects.
- Potential opportunity for a full-time role based on performance.
Pay: ₹1,000.00 - ₹6,000.00 per month
Benefits:
Work Location: Remote
