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Data Scientist
2 months ago
Design, develop, and implement generative models, including GANs VAEs and other generative AI techniques.-
Utilize OpenAI's GPT-3 or other models for creative content generation, natural language processing, and other applications, while ensuring compliance with OpenAI's guidelines and regulations.-
Utilize Azure cloud services for data storage, compute resources, and deploying machine learning models, maintaining best practices for scalability and security.-
Training and fine-tuning of generative models, optimizing their performance and addressing issues like mode collapse and convergence.-
Assess the performance of generative models using appropriate evaluation metrics and techniques.-
Apply advanced deep learning techniques and NLP (Natural Language Processing) for solving complex problems and generating content.-
Collaborate with cross-functional teams to integrate generative models into various applications and solutions, ensuring seamless operation on the Azure cloud platform.Skills Required:-
5 years of Professional experience into the field of AI (6 months to 1 Year into GEN AI)-
Proficiency in OpenAI technologies, such as GPT-3, and the ability to integrate them into AI solutions while ensuring ethical and responsible use.-
Azure Cloud Services: Strong familiarity with Azure cloud services, including data storage, virtual machines, and machine learning services.-
Strong coding skills in Python and extensive experience with deep learning libraries,-
Proficiency in data cleaning, preprocessing, and manipulation for generative model training.-
A strong commitment to staying updated with the latest research and contributing to innovative solutions in generative AI and cloud-based AI.-
Strong problem-solving abilities for addressing complex challenges in generative AI applications, OpenAI integrations, and Azure-based solutions.-
Strong Communication and understanding skills.