ShareChat Off Campus Drive 2023 For its ML Intern – Generative AI, ShareChat Drive is organizing Off Campus Drive for candidates in Recent Batch. In order to apply, candidates should have degree in Bacholer’s/Master’s degree. If you are interested, Please apply as soon as possible.
✅Company Name: ShareChat
✅Role: ML Intern – Generative AI
✅Location: Work From Home
✅Experience: Freshers
✅Qualification: Bacholer’s/Master’s degree
✅Batch: Recent Batch
✅Job Type: Full Time
✅Salary: Best in Industry
ShareChat Off Campus Drive 2023
Job Description:
- 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.
Requirements:
- 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
Responsibility:
- 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
To Apply: Click Here
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