Collaborate with product managers to translate business and product requirements into AI projects; Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services; Coordinate with global teams to drive projects from research to production; Develop new OCI services and features leveraging recent advances in generative AI, machine learning and deep learning; Design and review the architecture of generative AI, including data, model, training, and evaluation, employing best practices; Lead and mentor both junior and senior machine learning engineers
Requirements:
PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR; Demonstrated experience in designing and implementing scalable AI models for production; Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers
Text:
Principal Machine Learning Engineer Collaborate with product managers to translate business and product requirements into AI projects; Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services; Coordinate with global teams to drive projects from research to production; Develop new OCI services and features leveraging recent advances in generative AI, machine learning and deep learning; Design and review the architecture of generative AI, including data, model, training, and evaluation, employing best practices; Lead and mentor both junior and senior machine learning engineers PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR; Demonstrated experience in designing and implementing scalable AI models for production; Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers
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