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ShareChat ML Intern: Work from home and build the future of AI with generative models

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ShareChat Hiring for ML Intern – Generative AI. Candidates with Bacholer’s/ Master’s degree can apply for this position to work from home (Remote). The detailed eligibility criteria and application process are given below.

ShareChat, ShareChat Intern

ShareChat ML Intern Details:

Company Website:

Job Role: ML Intern – Generative AI

Qualification: Bacholer’s/ Master’s degree

Experience: Fresher

Batch: Recent Batches

Salary: 1,00,000 per month

Location: Work From Home

Last Date: ASAP

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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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  • 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 services 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 support your growth
  • Collaborate with other teams to build tools and platforms to enhance ML engineering productivity

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  • 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 productionising models is a plus. Deep expertise in Golang, Kubernetes is a plus

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How to apply for ShareChat ML Intern?

All interested and eligible candidates can apply for this position online by the following link as soon as possible.

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