ShareChat Hiring Machine Learning Intern 2023 | Apply Now

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ShareChat is India’s largest social media platform, providing a comfortable digital space for the next generation of Internet users who want to use the Internet in their native language. It is a platform that helps people share their thoughts, emotions, opinions and discover friends without any language barrier. We at ShareChat are pushing boundaries every day.

ShareChat Recruitment 

Company Website:

Job Role: Machine Learning Intern

Qualification: Bacholer’s/ Master’s degree

Experience: Fresher

Batch: 2023 / 22 / 21 / 20

Salary: 1,00,000 per month

Job Location: Bangalore

Job Description

In this role, you would be responsible for researching, training, and deploying Generative AI models for computer vision and NLP use cases. Prior experience in training large language/diffusion models on custom datasets is highly preferable. The internship will have considerable emphasis on research so interested candidates with prior experience in publishing in top-tier conferences will be preferred.

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  • Batch – 2023 / 22 / 21 / 20
  • Freshers are eligible
  • Any Graduate from any stream.

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Job Role and Responsibilities

  • Design and develop systems that serve recommendations to over 300 million users
  • Lead complex engineering projects end to end.
  • Develop scalable ML systems like feature stores, Inference stores that enable the entire ML product lifecycle
  • Improve system design and architecture to ensure high stability and performance
  • Partner with peers and work in an environment that supports your growth
  • Collaborate with other teams to build tools and platforms to enhance ML engineering productivity

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Skills Required

  • Strong CS fundamentals with a track record of writing production-quality code in a modern high-level programming language (e. g. Python, Go)
  • Deep expertise in automated software testing, particularly with distributed systems
  • Passion for and ability to define and drive engineering initiatives to improve scalability, reliability and quality
  • Strong communication skills. Experience leading projects is a plus
  • Excellent debugging skills in diagnosing issues across a multi-tier architecture
  • Industry experience in building end-to-end machine learning infrastructure and production rising models is a plus.
  • Deep expertise in Golang, and Kubernetes is a plus

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Selection Process 

  • Application Screening
  • Online Assessment
  • Technical Interviews
  • HR Interview
  • Final Selection

How to Apply for ShareChat

  • As always, read the information provided on this page first.
  • After reading, scroll down and click on the apply link.
  • You will be redirected to ShareChat official website.
  • Enter all the required details.
  • After entering the details check them and submit the application.

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