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About the role
Roles & Responsibilities : - Responsible for developing new features and models as part of our core product through applied research. - Understand, apply and extend state-of-the-art NLP research to better serve our customers. - Work closely with engineering, product, and customers to scientifically frame the business problems and come up with the underlying AI models - Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business. - Think creatively to identify new opportunities and contribute to high-quality publications or patents. - Understand Metas AI/Llama frameworks and products and their underlying implementation. - Define and execute on a strategy to drive adoption of Llama and other Metas AI/ML platform offerings Desired Qualifications and Experience : - At Least 2 to 5 years of professional experience. - Bachelors in Computer Science or related fields from the top colleges. - Experience in one or more of the following areas : Deep Learning, LLMs, NLP, Speech, Conversational AI, AI-Infrastructure, Fine-tuning and optimizations of PyTorch models. - Experience with at least one LLM such as Llama, GPT, Claude, Falcon, etc. - Experience with at least one deep learning framework such as PyTorch and/or JAX. - Experience building cloud solutions on any cloud. Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers. - Experience communicating and presenting to technical and business audiences. Roles & Responsibilities : - Responsible for developing new features and models as part of our core product through applied research. - Understand, apply and extend state-of-the-art NLP research to better serve our customers. - Work closely with engineering, product, and customers to scientifically frame the business problems and come up with the underlying AI models - Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business. - Think creatively to identify new opportunities and contribute to high-quality publications or patents. - Understand Metas AI/Llama frameworks and products and their underlying implementation. - Define and execute on a strategy to drive adoption of Llama and other Metas AI/ML platform offerings Desired Qualifications and Experience : - At Least 2 to 5 years of professional experience. - Bachelors in Computer Science or related fields from the top colleges. - Experience in one or more of the following areas : Deep Learning, LLMs, NLP, Speech, Conversational AI, AI-Infrastructure, Fine-tuning and optimizations of PyTorch models. - Experience with at least one LLM such as Llama, GPT, Claude, Falcon, etc. - Experience with at least one deep learning framework such as PyTorch and/or JAX. - Experience building cloud solutions on any cloud. Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers. - Experience communicating and presenting to technical and business audiences.
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