Website
Generative AI Intern
Zupee
Updated on: 01 January 1970
Additional Details
Website
Work Location
Gurgaon, India
Job Type
FTE
Batch
Freshers/Experienced
Stream Required
Previous experience with projects, internships, or research work related
Salary
6 LPA (Expected)
Job Description
About Zupee
Zupee is India’s fastest growing Technology backed Behavioral Science company. We are innovating Skill-
Based Gaming with a mission to become the most trusted and responsible entertainment company in the world. We have been constantly focusing on innovation of indigenous games to entertain the mass.
Our strategy is to invest in our people & user experience to drive profitable growth and become the market leader in our space. We have been experiencing phenomenal growth since inception and running profitable at EBT level since Q3, 2020. We have closed Series B funding at $102 million, at a valuation $600 million.
The company also announced a partnership with Reliance Jio Platforms, post which Zupee games will distribute its content across all customers using Jio phones. The partnership now gives Zupee the biggest reach of all gaming companies in India, transforming it from a fast-growing startup to a firm contender for the biggest gaming studio in India.
ABOUT THE JOB
Role & Responsibilities
1) Assist in the research, design, and development of generative AI models, to create innovative AI-driven solutions for image, text, or audio generation.
2) Experience with popular machine learning libraries and frameworks like TensorFlow, PyTorch, scikit-learn, or Keras.
3) Work with large datasets to preprocess data, conduct data augmentation, and train AI models, while continuously improving performance through model tuning and optimization techniques.
4) Build prototypes and proof-of-concept applications to demonstrate the capabilities of generative AI technologies, experimenting with new algorithms and approaches to push the boundaries of what's possible.
5) Document research findings, code, and experimental results clearly, and present insights and best practices
6) Previous experience with projects, internships, or research work related to machine learning, data science, or artificial intelligence.
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