Machine Learning Intern

Machine Learning Intern (Paid)

Company: UM IT PRIVATE LIMITED

Location: Remote

Duration: 3 Months

Stipend: Performance-based up to 7,499

Employment Opportunity: Potential full-time role based on performance + Certificate of Internship

Application Deadline: 22nd February 2026

About UM IT PRIVATE LIMITE

DUM IT PRIVATE LIMITED offers students and graduates hands-on learning opportunities in Machine Learning and Data Science. The internship focuses on practical exposure to real-world projects, enabling interns to build strong technical foundations and gain industry-relevant experience in AI and analytics

.

Role Overvi

ewAs a Machine Learning Intern at UM IT PRIVATE LIMITED, you will work on live projects involving data analysis, model development, and algorithm design. This role is designed to strengthen your understanding of machine learning concepts while helping you build a professional, portfolio-ready skill se

t.

Key Responsibilit

• iesDesign, test, and optimize machine learning mod
• elsClean, preprocess, and analyze datasets for model
• ingDevelop algorithms and predictive models for real-world applicati
• onsWork with tools such as TensorFlow, PyTorch, and Scikit-le
• arnDocument findings and prepare reports to communicate insights clea
• rlyCollaborate with mentors and team members to improve model performa

nceEligibility & Requireme

• ntsCurrently enrolled in or recently graduated from AI, Machine Learning, Data Science, Computer Science, or related fie
• ldsStrong understanding of machine learning concepts and algorit
• hmsProficiency in Python or R (preferr
• ed)Strong analytical, problem-solving, and teamwork ski

llsPerks & Benef

• itsPerformance-based stipend up to 7,
• 499Swags and good
• iesCertificate of Internship upon successful complet
• ionLetter of Recommendation based on performa
• nceOpportunity for a full-time role based on performa

nceEqual Opportunity Statement for

AllUM IT PRIVATE LIMITED is committed to fostering a diverse and inclusive workplace and encourages applicants from all backgrounds to app

ly.