Want to get hired at UM IT Solutions?
Machine Learning Intern
UM IT Solutions
HybridHybrid
Original Job Summary
About WebBoost Solutions by UM
WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science.
Role Overview
As a Machine Learning Intern, you’ll work on real-world projects gaining practical experience in machine learning and data analysis.
Responsibilities
- Design, test, and optimize machine learning models.
- Analyze and preprocess datasets.
- Develop algorithms and predictive models.
- Utilize tools like TensorFlow, PyTorch, and Scikit-learn.
- Document findings and present insights in reports.
Requirements
- Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, etc.).
- Strong knowledge of machine learning concepts and algorithms.
- Proficiency in Python or R is preferred.
- Excellent analytical and teamwork skills.
Benefits
- Paid stipend: ₹7,500 - ₹15,000 (Performance-Based).
- Practical machine learning experience.
- Internship Certificate & Letter of Recommendation.
- Opportunity to build a portfolio with real-world projects.
How to Apply
Submit your application by 12th October 2025 with the subject: "Machine Learning Intern Application".
Equal Opportunity
WebBoost Solutions by UM welcomes candidates from all backgrounds.
Key skills/competency
- Machine Learning
- Data Science
- Python
- R
- TensorFlow
- PyTorch
- Scikit-learn
- Data Analysis
- Algorithms
- Teamwork
How to Get Hired at UM IT Solutions
🎯 Tips for Getting Hired
- Research WebBoost Solutions by UM: Understand their projects and culture.
- Customize Your Resume: Highlight relevant ML and data skills.
- Prepare Examples: Showcase project work and teamwork experience.
- Practice Interviews: Cover technical and behavioral questions.
📝 Interview Preparation Advice
Technical Preparation
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Review ML algorithms.
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Practice Python and R coding.
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Experiment with TensorFlow exercises.
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Study data preprocessing techniques.
Behavioral Questions
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Describe your teamwork experience.
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Explain problem-solving examples.
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Discuss conflict resolution.
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Share examples of handling feedback.