Want to get hired at UM IT Solutions?
Artificial Intelligence Intern
UM IT Solutions
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Original Job Summary
About the Role
The Artificial Intelligence Intern position at UM IT Solutions (branded as WebBoost Solutions by UM) offers a 3-month paid internship with a potential for a full-time role based on performance and a Certificate of Internship. Interns work on real-world AI/ML projects while gaining hands-on experience with data, models, and intelligent systems.
Responsibilities
- Assist in designing, developing, and deploying AI/ML models.
- Perform data preprocessing, cleaning, and feature engineering.
- Research and apply machine learning algorithms for practical problems.
- Collaborate with the development team to integrate AI solutions.
- Test, evaluate, and optimize model performance.
Requirements
- Currently enrolled in or recently graduated from a relevant program.
- Proficient in Python and libraries like NumPy, Pandas, Scikit-learn.
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
- Good grasp of machine learning concepts, algorithms, and statistics.
- Strong analytical, problem-solving, and teamwork skills.
Stipend & Benefits
- Stipend ranges between ₹7,500 - ₹15,000 (performance-based).
- Gain practical experience through live AI/ML projects.
- Receive a Certificate of Internship and Letter of Recommendation.
- Build an industry-relevant portfolio of work.
How to Apply
Submit your application by 09th October 2025 with "Artificial Intelligence Intern Application" as the subject line.
Equal Opportunity
UM IT Solutions, through its brand WebBoost Solutions by UM, is an equal opportunity employer encouraging applications from candidates of all backgrounds.
Key skills/competency
- Artificial Intelligence
- Machine Learning
- AI/ML Models
- Data Science
- Python
- TensorFlow
- PyTorch
- Data Preprocessing
- Algorithm Research
- Team Collaboration
How to Get Hired at UM IT Solutions
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant AI/ML project experience.
- Showcase technical skills: Emphasize Python and ML frameworks.
- Research UM IT Solutions: Understand their culture and projects.
- Prepare for interviews: Practice problem-solving and teamwork scenarios.
📝 Interview Preparation Advice
Technical Preparation
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Review Python basics and libraries.
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Practice AI model design exercises.
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Experiment with TensorFlow and PyTorch.
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Study data preprocessing methods.
Behavioral Questions
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Describe a team conflict and resolution.
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Share your project problem-solving experience.
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Explain handling tight project deadlines.
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Discuss learning from project failures.