Online applications are invited for ML Intern at ShareChat, Bangalore. Check desired skill sets and eligibility details below!
About ShareChat
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.
Founded in October 2015, with a vision of building an inclusive community that encourages & empowers each individual to share their unique journey and valuable experiences with confidence.
ShareChat is valued at $5 bn. We are spearheading India’s internet revolution by building products through world-class AI & tech to evangelize the content ecosystem for India in regional languages.
Job Details
Within the Sharechat AI team, ShareChat is 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.
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 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 supports your growth.
- Collaborate with other teams to build tools and platforms to enhance ML engineering productivity.
Eligibility Criteria
- 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
How to Apply?
Interested candidates can directly apply through this link.
Location
Remote, India
