ML Internship-Generative AI at ShareChat [Work from Home ; Stipend]

About the Organization

ShareChat  is India’s largest homegrown social media company, with 400+ million monthly active users across all its platforms including Moj, a leading short video app which was launched in a record 30 hours.

What does the team do?

Within the Sharechat AI team, we are looking for an ML intern to help us build Generative AI based cutting-edge solutions for Indian consumers. 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.

Looking for similar opportunities, join Opportunity Cell on Instagram or Telegram here.

What You’ll Do?

• 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

Who Are You?

• 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

Where you’ll be?

• Remote, India

How to Apply