Zomato and Blinkit recently expanded its Genai team to expand its AI solutions that enhance the real food and groceries experience in search of AI/ML engineers skilled in large-scale language models (LLMS), fine-tuning and RLHF optimizations, and announced that the team has a team. In just one year, he has grown from three to over 20 engineers.
Please click here to apply.
Vaibhav Bhutani, a generator AI head working on building a central AI team for Zomato and its quick commerce business, went to LinkedIn to announce recruitment alerts for AI-based technology engineers who specialize in optimizing large-scale language models with cutting-edge techniques.
Based in Gurgaon, the opportunity is open to interns and senior engineers. The call for action is clear. “Whether you're an intern who's hungry to learn or a senior engineer ready to lead, you have the opportunity to make marks and sparkles!”
Recently, Zomato Chief
Zomato recently announced a ban on AI-generated food images on its platform to boost user trust.
Also Read: Data Science Hiring Process at Zomato
Zomato's data science team leverages AI for personalized recommendations, delivery and customer engagement optimization, while promoting a culture of ownership and innovation. “At the heart of everything we do here, our North Star makes our customer experience the best in the world,” said Manav Gupta, head of data science at Zomato, in an interview several years ago.
AI bans platform-generated images
Recently, Zomato announced its strong attitude towards using AI-generated images for food dishes in restaurant menus, citing customer trust concerns and negative impacts on business.
Zomato Chief Deepinder Goyal It was revealed Images generated by AI led to customer complaints, resulting in higher restaurant refund rates and lower ratings.
“We are urging our restaurant partners to avoid using AI on dish images on restaurant menus from now on. We will actively begin deleting such images from the menu by the end of this month. We will also stop accepting AI-generated dish images (as long as we can detect them using automation),” Goyal said.
