Machine Learning Intern

Department Icon Data Science Analytics & Machine Learning
Posted: 1 year ago
0-1 years
Gurugram
Data Science Analytics & Machine Learning
Work From Home
Full Time
Upto ₹0 - ₹0

Posted: 1 year ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

What role you will play in team: Support senior engineers in developing and deploying machine learning models.

What you will do: Assist in data cleaning, preprocessing, and feature engineering tasks.

Key responsibility:

  • Assist in data cleaning, preprocessing, and feature engineering.
  • Support the development and deployment of machine learning models.
  • Run experiments and analyze results.
  • Contribute to documentation and presentations.

Required Qualification and Skills:

  • Currently pursuing a Bachelor's or Master's degree in computer science or a related field.
  • Knowledge of Python and machine learning concepts.
  • Strong analytical and problem-solving skills.

Benefits Included:

  • Opportunity to gain practical experience in machine learning.
  • Mentorship from experienced engineers.
  • Competitive stipend.

A Day in the Life: A typical day involves assisting senior engineers with machine learning tasks, learning new skills, and contributing to the team's projects.

Skills

PythonMachine LearningData Analysis

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About Company

Anywhere is a pioneering remote work platform, revolutionizing the traditional workplace paradigm. Offering flexibility and freedom, Anywhere empowers individuals to work from any location, fostering a global community of talented professionals. Our innovative platform connects companies with remote workers, facilitating seamless collaboration and productivity. At Anywhere, we believe in breaking down geographical barriers and unlocking opportunities for career growth and fulfillment. Join our dynamic team and explore exciting career prospects in the ever-evolving landscape of remote work. Embrace flexibility, unleash your potential, and embark on a fulfilling career journey with Anywhere. Your career, your location, your choice.

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