Machine Learning Intern

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Posted:3 hours ago| Platform: Linkedin logo

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Remote

Job Type

Internship

Job Description

Machine Learning Intern (Paid)

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About Jobs in India Pvt. Ltd.

Jobs in India Pvt. Ltd. is committed to empowering students and graduates by providing real-world exposure to Machine Learning and Data Science. We focus on bridging the gap between academic learning and industry expectations through live projects, expert mentors, and performance-driven career opportunities.

Role Overview

As a Machine Learning Intern at Jobs in India Pvt. Ltd., you will work with real datasets, build predictive models, and explore cutting-edge AI tools. This internship will help you enhance your analytical and technical skills while contributing to impactful projects in automation and data-driven decision-making.

Responsibilities

✅ Design, train, and optimize machine learning models for real-world applications.

✅ Perform data preprocessing, feature engineering, and model evaluation.

✅ Develop predictive algorithms and implement data-driven solutions.

✅ Work with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.

✅ Document findings, insights, and model performance in technical reports.

Requirements

🎓 Enrolled in or recently graduated from Computer Science, AI, Data Science, or related fields.

🧠 Strong understanding of ML algorithms and data analysis concepts.

💻 Proficient in Python (preferred) or R with practical experience in ML libraries.

📊 Familiarity with data visualization tools and model evaluation techniques.

🤝 Strong analytical thinking, communication, and teamwork skills.

Benefits

Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid)

🧠 Hands-on experience with real-world ML projects.

📜 Certificate of Internship & Letter of Recommendation.

💼 Opportunity for full-time placement based on performance.

🚀 Build a strong, industry-ready ML portfolio.

Equal Opportunity Statement

Jobs in India Pvt. Ltd. is an equal-opportunity employer. We are committed to diversity and inclusion and welcome applicants from all backgrounds and experiences.

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