Machine Learning Intern
Zenithbyte
Job Overview
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Job Description
Machine Learning Intern at ZenithByte
ZenithByte is committed to empowering students and graduates by providing real-world exposure to Machine Learning and Data Science. The organization bridges the gap between academic learning and industry expectations through live projects, expert mentorship, and performance-driven career opportunities.
Opportunity & Benefits
- 💰 Performance-based stipend up to ₹7,499
- 🎁 Swags and goodies
- 📜 Certificate of Internship
- ✉️ Letter of Recommendation (based on performance)
- 🌟 Potential full-time role based on performance
- 🤝 Expert mentorship & live project exposure
Role Overview
As a Machine Learning Intern, you will work with real datasets to design predictive models and explore modern AI and ML tools. This role focuses on strengthening analytical and technical skills while contributing to automation and data-driven decision-making initiatives.
Roles & Responsibilities
- Design, train, and optimize machine learning models for real-world applications
- Perform data preprocessing, feature engineering, and model evaluation
- Develop predictive algorithms and data-driven solutions
- Work with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn
- Document insights, experiments, and model performance in technical reports
Requirements
- 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
- Proficiency in Python (preferred) or R, with hands-on experience using ML libraries
- Familiarity with data visualization tools and model evaluation techniques
- Strong analytical thinking, communication, and teamwork skills
What You Will Gain
- Hands-on experience with real-world machine learning projects
- Performance-based stipend up to ₹7,499
- Swags and goodies
- Certificate of Internship upon completion
- Letter of Recommendation based on performance
- Opportunity to build an industry-ready ML portfolio
- Potential full-time role based on performance
Equal Opportunity Statement
ZenithByte is an equal opportunity organization committed to diversity and inclusion, welcoming applicants from all backgrounds and experiences.
Key skills/competency
- Machine Learning Algorithms
- Data Analysis
- Python Programming
- TensorFlow & PyTorch
- Scikit-learn
- Predictive Modeling
- Data Preprocessing
- Feature Engineering
- Model Evaluation
- Technical Documentation
How to Get Hired at Zenithbyte
- Research ZenithByte's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume effectively: Highlight Python proficiency, ML libraries, data analysis, and project experience relevant to Machine Learning Intern roles.
- Showcase relevant ML projects: Prepare a portfolio demonstrating practical application of machine learning models and predictive algorithms.
- Prepare for technical assessments: Review core machine learning algorithms, data preprocessing, model evaluation techniques, and ML frameworks like TensorFlow.
- Practice behavioral interview questions: Focus on teamwork, problem-solving, communication, and how you approach learning new technologies in a collaborative setting.
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