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Position: Senior Analyst Machine Learning Engineer
Institution: Cigna
Location: Bangalore, Karnataka, India
Duties: Utilize Large Language Models (LLMs), Open Source, Machine Learning, and numerical programming frameworks, to build transformative solutions; Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses; Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions; Build solutions that align with responsible AI practices; Work with both open source models (Tensorflow, PyTorch, Hugging Face Transformers) cloud solutions, internal solutions and external partners to deliver the best solutions
Requirements: Experience working with recommendation engines, data pipelines, or distributed machine learning; Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; 5 to 7 years of experience in research 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; 3 years of experience in a technical leadership role leading project teams and setting technical direction
   
Text: Senior Analyst Machine Learning Engineer Utilize Large Language Models (LLMs), Open Source, Machine Learning, and numerical programming frameworks, to build transformative solutions; Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses; Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions; Build solutions that align with responsible AI practices; Work with both open source models (Tensorflow, PyTorch, Hugging Face Transformers) cloud solutions, internal solutions and external partners to deliver the best solutions Experience working with recommendation engines, data pipelines, or distributed machine learning; Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; 5 to 7 years of experience in research 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; 3 years of experience in a technical leadership role leading project teams and setting technical direction
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