As an ML Intern interested in Amazing Sharechat ML Intern Generative AI, it is important to understand what generative AI is, why it is important, how to become an ML Intern in this field, and How To Apply For This Amazing Sharechat ML Intern – Generative AI Fresher In 2023.
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Who are we and What do we do?
Here Are More Information About Amazing Sharechat ML Intern – Generative AI Fresher In 2023
ShareChat (https://sharechat.com/about) 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 that was launched in a record 30 hours.
It was founded by Ankush Sachdeva, Bhanu Pratap Singh, and Farid Ahsan and incorporated on 8 January 2015. This app has over 350 million monthly active users across 15 Indian languages.
Mohalla Tech is the parent company of applications such as , Moj, and Moj Lite + (TakaTak). It acquired MX TakaTak, a short video platform in February 2022. The current valuation of the company is $5 billion.
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.
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We believe in complete ownership of problem-solving while committing to speed and integrity in everything we do. We place the utmost importance on user empathy & strive to work towards creating a world-class experience for them every day. Join us to drive how the next billion users will interact on the internet!
What does the team do?
Within the Sharechat AI team, we are looking for an 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.
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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
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Role and 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 supports your growth
Collaborate with other teams to build tools and platforms to enhance ML engineering productivity
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Location
India: Banglore
Where you’ll be?
Remote, India
How To Apply?
If You are an Interested candidate You can apply For his Internship at Generative AI candidates must submit an online application through the Generative AI website.
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Official Website Link Click Here
Conclusion
Generative AI is a rapidly growing field that offers many exciting opportunities By learning the basics of machine learning and , building your skills, and applying for internships, you can start your journey toward becoming an expert in this field. Generative AI has many important applications in various fields, and it has the potential to revolutionize content creation across various industries
