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Salary

7.5-15K PM

Location

Remote

Highlights

Design & train ML models, data preprocessing, feature engineering, predictive algorithms

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Description

Join us as a Machine Learning Intern at ZenithByte, where you will have the opportunity to work on real-world projects and gain hands-on experience in predictive modeling. This paid internship provides a unique blend of performance-based stipend up to ₹7,500-₹15,000, swags, and goodies. You'll also receive a certificate of internship upon completion and a letter of recommendation based on your performance.

As an intern, you will work with real datasets to design predictive models using modern AI and ML tools. This role focuses on strengthening your analytical and technical skills while contributing to automation and data-driven decision-making initiatives. You'll have the chance to develop predictive algorithms and data-driven solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.

Our commitment is to empower students and graduates by bridging the gap between academic learning and industry expectations through live projects and expert mentorship. You will work closely with mentors who are experts in the field and benefit from a performance-driven career opportunity that could lead to a full-time role.

The ideal candidate will be currently enrolled in or recently graduated from Computer Science, AI, Data Science, or related fields. Strong understanding of machine learning algorithms and data analysis concepts is essential, along with proficiency in Python (preferred) or R. Familiarity with data visualization tools like Matplotlib and model evaluation techniques is a plus.

What you will gain:

• Hands-on experience with real-world machine learning projects
• Performance-based stipend up to ₹7,500-₹15,000
• Swags and goodies
• Certificate of Internship upon completion
• Letter of Recommendation based on performance
• Potential full-time role based on performance

Skills

Machine-Learning-Algorithms Data-Visualization Python-Programming Model-Evaluation Feature-Engineering