Amazing Opportunity
ShareChat is Hiring off-campus
placement drive for
the position of Intern
in Work from Home
ShareChat Recruitment 2023:-
Company name | : | ShareChat |
Position | : | ML Intern – Generative AI |
Salary | : | As per Company Standards |
Degree | : | Bachelor’s Degree |
Batch | : | 2021/ 2022/ 2023/ 2024 |
Experience | : | Freshers |
Location | : | Work from Home |
Job Descriptions:-
- 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.
Job 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 support your growth
- Collaborate with other teams to build tools and platforms to enhance ML engineering productivity
Roles & Responsibilities:-
- 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