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About the role
As an AI/ML developer with expertise in Retrieval Augmented Generation (RAG) systems, particularly in multi-modal and non-text-based RAG applications, your role will involve the following key responsibilities: - Designing, developing, and deploying RAG-based chatbots using Python and OpenAI APIs. - Demonstrating experience with supervised learning, Reinforcement Learning, and distillation techniques. - Implementing solutions that seamlessly integrate various data formats such as text, images, and relational tables into the RAG framework. - Optimizing and maintaining existing RAG systems to ensure high performance and accuracy. To excel in this role, you should meet the following qualifications: - Expertise in RAG systems, with a focus on multi-modal and non-text-based RAG implementations. - Proven experience in building AI models. - At least 5 years of hands-on experience in Python development. - Background in AI/ML development. - Proficiency in utilizing OpenAI APIs to create advanced RAG solutions. As an AI/ML developer with expertise in Retrieval Augmented Generation (RAG) systems, particularly in multi-modal and non-text-based RAG applications, your role will involve the following key responsibilities: - Designing, developing, and deploying RAG-based chatbots using Python and OpenAI APIs. - Demonstrating experience with supervised learning, Reinforcement Learning, and distillation techniques. - Implementing solutions that seamlessly integrate various data formats such as text, images, and relational tables into the RAG framework. - Optimizing and maintaining existing RAG systems to ensure high performance and accuracy. To excel in this role, you should meet the following qualifications: - Expertise in RAG systems, with a focus on multi-modal and non-text-based RAG implementations. - Proven experience in building AI models. - At least 5 years of hands-on experience in Python development. - Background in AI/ML development. - Proficiency in utilizing OpenAI APIs to create advanced RAG solutions.
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