Want to get hired at UM IT Solutions?

Artificial Intelligence Intern

UM IT Solutions

HybridHybrid

Original Job Summary

Artificial Intelligence Intern

Join WebBoost Solutions by UM as an Artificial Intelligence Intern. This paid internship is remote and offers hands-on experience in AI/ML projects with the potential for a full-time role and a Certificate of Internship.

Role Overview

Work on AI/ML projects, handling data, building models, and implementing intelligent systems. Enhance your technical expertise and be part of real-world applications.

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 for real-world problems.
  • Collaborate with the development team to integrate AI solutions.
  • Test, evaluate, and optimize model performance.

Requirements

  • Enrollment in or recent graduation from Computer Science, AI, Data Science, or related program.
  • Knowledge of Python and libraries like NumPy, Pandas, Scikit-learn.
  • Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
  • Understanding of machine learning concepts, algorithms, and statistics.
  • Strong analytical, problem-solving, and teamwork skills.

Stipend & Benefits

  • Performance-based stipend: ₹7,500 - ₹15,000.
  • Hands-on AI/ML project experience.
  • Certificate of Internship and Letter of Recommendation.
  • Build a portfolio with industry-relevant projects.

How to Apply

Submit your application by 13th October 2025 with the subject line "Artificial Intelligence Intern Application".

Equal Opportunity

WebBoost Solutions by UM is an equal opportunity employer, encouraging candidates from diverse backgrounds to apply.

Key skills/competency

  • Artificial Intelligence
  • Machine Learning
  • Python
  • Data Preprocessing
  • Deep Learning
  • TensorFlow
  • PyTorch
  • Feature Engineering
  • Problem-solving
  • Teamwork

How to Get Hired at UM IT Solutions

🎯 Tips for Getting Hired

  • Customize your resume: Highlight AI projects and technical skills.
  • Study company values: Research WebBoost Solutions by UM online.
  • Tailor your cover letter: Emphasize relevant internship experience.
  • Prepare for technical interviews: Brush up on Python and ML fundamentals.

📝 Interview Preparation Advice

Technical Preparation

Review Python programming basics.
Practice data preprocessing methods.
Explore ML algorithms and model evaluation.
Test TensorFlow and PyTorch examples.

Behavioral Questions

Describe your teamwork experience.
Explain problem-solving approaches.
Discuss handling project deadlines.
Share learning from past challenges.