Machine Learning Intern
@ UM IT Solutions

Hybrid
₹180,000
Hybrid
Intern
Posted 16 hours ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXX XXXXXXXXXXX XXXXXXXX***** @unifiedmentor.com
Recommended after applying

Job Details

About Machine Learning Intern

Company: Unified MentorLocation: RemoteDuration: 3 monthsOpportunity: Full-time based on performance, with Certificate of InternshipApplication Deadline: 14th October 2025

About Unified Mentor

Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science.

Role Overview

As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development.

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 a graduate of Computer Science, AI, Data Science or related field
  • Solid understanding of machine learning concepts and algorithms
  • Proficiency in Python or R (preferred)
  • 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
  • Contribute to real-world projects for portfolio enhancement

Equal Opportunity

Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Key skills/competency

  • Machine Learning
  • Data Analysis
  • Model Development
  • Python
  • R
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Algorithm Development
  • Data Preprocessing
Apply without a personalized resume

How to Get Hired at UM IT Solutions

🎯 Tips for Getting Hired

  • Research Unified Mentor's culture: Explore their projects and values on social platforms.
  • Customize your resume: Tailor your skills for ML and data science.
  • Highlight technical experience: Emphasize Python, TensorFlow, and PyTorch skills.
  • Prepare for interviews: Practice real-world problem solving in ML.

📝 Interview Preparation Advice

Technical Preparation

Review ML models using TensorFlow and PyTorch.
Practice data preprocessing techniques with Scikit-learn.
Solve sample algorithm challenges using Python.
Analyze datasets to understand model performance.

Behavioral Questions

Describe your teamwork in project work.
Explain handling tight deadlines in projects.
Discuss learning from past challenges.
Share how you adapt to feedback.

Frequently Asked Questions