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Machine Learning Platform Architect Full-time

at Jobisite in United States Of America (Published at 21-09-2018)

Job Description
Responsibilities: 1. Design and develop large scale machine learning and deep learning platforms. 2. Develop distributed computational system based on Artificial Intelligence, providing data processing and highly abstracted and efficient machine learning pipeline. 3. Industry experience in one of the following (but not limited to): recommendation system, distributed storage, large scale distributed computation, large scale distributed algorithm platform, real-time processing, cross-platform resource management, GPU cluster, large scale machine learning and deep learning platform.
Qualifications
Must be able to speak Mandarin fluently as needs to work with team in China.
Qualifications: 1. Master degree or above in Math, CS, EE or equivalent, with 5+ years of related work experience. 2. Familiar with Linux kernel. Strong programming in popular coding languages like Python, Java/Scala, C/C++, etc. 3. Experience in machine learning and deep learning algorithms, can utilize basic machine learning algorithms to
solve related problems. 4. Keep up with deep learning and machine learning literature and research publications in order to implement the latest techniques into our networks and pipelines. 5. Theoretical and industry experience in distributed system, familiar with at least one of the following frameworks: hadoop, hbase, spark, storm 6. Strong problem solving skills with an emphasis on product development. 7. Experience in Large scale image and video processing will be a plus.
Reference : Machine Learning Platform Architect jobs


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