Artificial Intelligence \ Machine Learning

Posted 275 Days Ago

Stipend / Month

Unpaid

Duration

2 Months

Type

Work From Home
Internship Closed
About qualleap

At Qualleap, we are dedicated to empowering students through quality education and practical experience. As an edutech leader, we offer a wide range of courses and internships designed to prepare students for successful careers in their chosen fields. Our experienced instructors and industry experts provide expert guidance, ensuring that our students acquire valuable skills. We believe in hands-on learning and offer real-world projects to enhance practical knowledge.

About The Internship
  • Embark on an enriching machine learning internship with qualleap. This hands-on opportunity is designed for aspiring machine learning enthusiasts to gain practical experience in cutting-edge projects. As an intern, you'll collaborate with a dynamic team of experts, working on real-world applications of machine learning technologies. Join us to contribute to innovative solutions and enhance your skills in a supportive and collaborative environment.
Preferred Education Qualification
    Degree -
  • Engineering (B.E/B.Tech)
    Specialization -
  • Artificial Intelligence and Data Science
  • Computer Science
Skills Required
  • Machine Learning
  • Python
  • Data Science
Responsibilities
  • As a Machine Learning Intern at qualleap, you'll be at the forefront of impactful projects. Your responsibilities include exploring and implementing machine learning algorithms, contributing to data preprocessing and model development, and collaborating with cross-functional teams. Engage in hands-on coding, testing, and optimization of models. Additionally, you will have the opportunity to participate in team discussions, share insights, and learn from experienced professionals. This internship promises a blend of technical challenges and skill development, laying the foundation for a successful career in machine learning.
Perks
  • Certificate
  • Letter of Recommendation
  • Flexible Work Hours
  • 5 Days A Week
01-03-2024

Last Date To Apply

02-03-2024

Start Date

Features
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