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EngineeringNew🎯 Internship

AI & ML Internship at WoRisGo

Company
4 hours ago
Location

Work from Home

Salary

₹ 1.5K - 15K per month stipend

Apply By

ASAP

Views

7

Eligible Batches

🎓 2025 Batch🎓 2026 Batch

Job Description

Join WoRisGo as an AI & ML Intern and gain hands-on experience in cutting-edge technologies. Work on real-world projects and develop your skills in machine learning and artificial intelligence.

Roles & Responsibilities

Work on AI and ML projects to develop and enhance skills Collaborate with experienced professionals to gain industry insights Contribute to the development of innovative solutions

Requirements

Strong foundation in linear algebra, calculus, and probability Experience with popular ML libraries and frameworks (e.g., TensorFlow, PyTorch) Good programming skills in languages like Python or Java Excellent problem-solving skills and analytical thinking

Eligibility Criteria

B.Tech/B.E. 2025/2026 Batch

Tech Stack & Ecosystem

TensorFlowPyTorchMachine LearningArtificial IntelligencePythonJava

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Quick Info

TypeInternship
RoleIntern
Work Mode🏢 On-site
Eligible Batches
20252026

Tech Stack

TensorFlowPyTorchMachine LearningArtificial IntelligencePythonJava

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Career Advice

Company Insights

As an AI & ML Intern at WoRisGo, you'll have the opportunity to work on real-world projects that will challenge your skills and enhance your professional growth. You'll be part of a dynamic team where you'll collaborate with experienced professionals who will guide you through the development of innovative solutions. Working at WoRisGo will expose you to cutting-edge technologies, allowing you to expand your skill set and build a strong foundation in AI and ML. Additionally, you'll have the chance to develop strong problem-solving skills, critical thinking, and analytical skills, which are essential for any career in tech.

Interview Guide

To ace your interview for this position, focus on showcasing your problem-solving skills and experience with popular ML libraries and frameworks. Prepare examples of projects you've worked on, highlighting your responsibilities and the technologies used. It's essential to demonstrate your understanding of machine learning concepts and algorithms, as well as your ability to work efficiently with large datasets. During the interview, ask insightful questions about the company's projects, and be prepared to provide code examples or explain technical concepts. Additionally, be prepared to talk about your long-term career goals and how this internship will help you achieve them.