Roles and Responsibilities:
-Research, develop, and implement state-of-the-art techniques to implement Large Language Models (LLM) and Generative AI on datacenter silicon compute solutions.
-Collaborate with cross-functional teams to design and execute projects that leverage LLMs for various applications, such as text generation, summarization, translation, and more.
-Stay up-to-date with the latest advancements in AI, machine learning, and generative models, and apply this knowledge to our compute solutions roadmap.
-Provide technical leadership and mentorship to junior team members, fostering a culture of innovation and continuous learning.
Minimum Qualifications:
-Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
-Proven expertise in working with Large Language Models, particularly GPT (Generative Pre-trained Transformer) variants.
-Strong understanding of generative models, deep learning, and natural language processing techniques.
-Proficiency in programming languages such as Python and experience with deep learning frameworks like TensorFlow or PyTorch.
-Demonstrated ability to drive projects from ideation to implementation, producing tangible outcomes.
-Experience with deploying AI models into production environments is desirable.
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