ShareChat Off Campus Drive 2023 | ML Intern – Generative AI | Bacholer’s/Master’s degree | WFH

 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