Machine Learning Intern
@ UM IT Solutions

Hybrid
₹135,000
Hybrid
Intern
Posted 6 hours ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXX******* @unifiedmentor.com
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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

Review TensorFlow and PyTorch basics.
Practice algorithm design and optimization.
Work on sample data preprocessing exercises.
Refresh Python programming and ML libraries.

Behavioral Questions

Describe a successful teamwork experience.
Explain how you manage project deadlines.
Discuss a challenge faced during studies.
Share how you approach problem solving.

Frequently Asked Questions