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Position: Senior AI Engineer
Institution: Cigna
Location: United States
Duties: This is an exciting opportunity to join our company’s AI CoE team which is transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. Your focus will be developing the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions including but not limited to BERT, RoBERTA, and GPT for a number of Natural Language Processing (NLP) tasks
Requirements: Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields; 7+ years of experience in core AI techniques including NLP (Natural Language Processing), ML (Machine Learning) and Deep Learning; 1+ years of direct Generative AI (GenAI) and building LLMs experience; Research experience with sequential modeling or generative AI, deep learning architectures, and Transformers, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs; Programming experience in C/C++, Java, Python, computer vision, self-supervised learning, transfer learning, and reinforcement learning
   
Text: Senior AI Engineer This is an exciting opportunity to join our company’s AI CoE team which is transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. Your focus will be developing the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions including but not limited to BERT, RoBERTA, and GPT for a number of Natural Language Processing (NLP) tasks Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields; 7+ years of experience in core AI techniques including NLP (Natural Language Processing), ML (Machine Learning) and Deep Learning; 1+ years of direct Generative AI (GenAI) and building LLMs experience; Research experience with sequential modeling or generative AI, deep learning architectures, and Transformers, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs; Programming experience in C/C++, Java, Python, computer vision, self-supervised learning, transfer learning, and reinforcement learning
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