Machine Learning Intern @ UM IT Solutions
placeHybrid
attach_money ₹135,000
businessHybrid
scheduleIntern
Posted 6 hours ago
Your Application Journey
Interview
Email Hiring Manager
******* @unifiedmentor.com
Recommended after applying
Job Details
About Machine Learning Intern
Unified Mentor is seeking a Machine Learning Intern for a paid, remote internship opportunity lasting 3 months. Based on performance, there is potential for a full-time offer along with a Certificate of Internship.
Role Overview
As a Machine Learning Intern, you will work on real-world projects enhancing your practical skills in data analysis, model development and algorithm design.
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 create reports
Requirements
- Enrolled in or graduated from a relevant program (Computer Science, AI, Data Science, or related field)
- Knowledge of machine learning concepts and algorithms
- Proficiency in Python or R
- Strong analytical and teamwork skills
Benefits
- Performance-based stipend between ₹7,500 and ₹15,000
- Hands-on machine learning experience
- Internship Certificate & Letter of Recommendation
- Real-world project contributions for your portfolio
Unified Mentor is an equal opportunity employer welcoming candidates from all backgrounds.
Key skills/competency
- Machine Learning
- Data Analysis
- Model Development
- Python
- TensorFlow
- PyTorch
- Scikit-learn
- Algorithm Design
- Data Preprocessing
- Teamwork
How to Get Hired at UM IT Solutions
🎯 Tips for Getting Hired
- Research Unified Mentor's culture: Study their values and recent projects.
- Customize your resume: Highlight relevant ML coursework and projects.
- Demonstrate technical skills: Emphasize Python, TensorFlow, PyTorch experience.
- Prepare for interviews: Practice ML algorithms and real-world problem solving.
📝 Interview Preparation Advice
Technical Preparation
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Review TensorFlow and PyTorch basics.
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Practice algorithm design and optimization.
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Work on sample data preprocessing exercises.
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Refresh Python programming and ML libraries.
Behavioral Questions
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Describe a successful teamwork experience.
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Explain how you manage project deadlines.
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Discuss a challenge faced during studies.
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Share how you approach problem solving.
Frequently Asked Questions
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