Artificial Intelligence Intern
@ UM IT Solutions

Hybrid
₹15,000
Hybrid
Intern
Posted 14 hours ago

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XXXXXXXXXX XXXXXXXXX XXXXXXXXX******* @webboostsolutions.com
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Job Details

About the Artificial Intelligence Intern Role

This paid internship at WebBoost Solutions by UM offers a 3-month opportunity with potential for full-time employment based on performance. Interns will receive a certificate of internship and a letter of recommendation while working on real-world AI/ML projects.

Responsibilities

  • Assist in designing, developing, and deploying AI/ML models.
  • Work with datasets for preprocessing, cleaning, and feature engineering.
  • Research and apply machine learning algorithms to real-world problems.
  • Collaborate with the development team to integrate AI solutions into applications.
  • Test, evaluate, and optimize model performance.

Requirements

  • Currently enrolled in or recently graduated from Computer Science, AI, Data Science, or a related program.
  • Knowledge of Python and libraries such as NumPy, Pandas, and Scikit-learn.
  • Familiarity with deep learning frameworks like TensorFlow or PyTorch (preferred).
  • Good understanding of machine learning concepts, algorithms, and statistics.
  • Strong analytical, problem-solving, and teamwork skills.

Stipend & Benefits

  • Performance-based stipend between ₹7,500 and ₹15,000.
  • Hands-on AI/ML project experience.
  • Certificate of Internship and Letter of Recommendation.
  • Opportunity to build an industry-relevant portfolio.

How to Apply

Candidates should submit their application by 14th October 2025 with the subject line "Artificial Intelligence Intern Application".

Equal Opportunity

WebBoost Solutions by UM is an equal opportunity employer and encourages applications from candidates of all backgrounds.

Key Skills/Competency

  • AI
  • Machine Learning
  • Python
  • Data Science
  • Deep Learning
  • TensorFlow
  • PyTorch
  • Data Preprocessing
  • Algorithm Research
  • Team Collaboration
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How to Get Hired at UM IT Solutions

🎯 Tips for Getting Hired

  • Customize your resume: Tailor your skills and projects for AI roles.
  • Highlight technical skills: Emphasize Python, TensorFlow, and ML projects.
  • Showcase relevant projects: Include AI/ML experience in your portfolio.
  • Prepare for interviews: Research WebBoost Solutions by UM insights, culture, and role specifics.

📝 Interview Preparation Advice

Technical Preparation

Review Python libraries and ML frameworks.
Practice data preprocessing techniques.
Study TensorFlow and PyTorch basics.
Understand machine learning algorithm fundamentals.

Behavioral Questions

Describe a teamwork challenge.
Share an example of problem-solving.
Explain how you handle feedback.
Discuss time management strategies.

Frequently Asked Questions