Machine Learning Engineer, Model Customization, Generative AI Innovation Center
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El puesto
Design and implement distributed training pipelines for large language models to enable scalable, efficient development.
Customize and fine-tune LLMs across languages, domains, and modalities through continued pre-training, fine-tuning, and RLHF.
Optimize AI models for deployment on cloud accelerators using SDKs and custom kernels for performance.
Collaborate with enterprise customers and foundational model providers to co-create tailored generative AI solutions.
Deliver end-to-end ML workflows, spanning data preparation, training, evaluation, and deployment at scale.
Partner with cross-functional teams to push the state-of-the-art in AI while delivering robust, secure, and compliant solutions.
Customize and fine-tune LLMs across languages, domains, and modalities through continued pre-training, fine-tuning, and RLHF.
Optimize AI models for deployment on cloud accelerators using SDKs and custom kernels for performance.
Collaborate with enterprise customers and foundational model providers to co-create tailored generative AI solutions.
Deliver end-to-end ML workflows, spanning data preparation, training, evaluation, and deployment at scale.
Partner with cross-functional teams to push the state-of-the-art in AI while delivering robust, secure, and compliant solutions.
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