Machine Learning engineer
瀏覽人數: 72
投遞人數: 1
思華科技有限公司
全職
工作簡介
工作類型: 全職
經驗需求: 3 年以上
薪資範圍: 依能力經驗面議
刊登日期: 2019-05-28 17:14:33
有效期限: 2019-06-30
工作內容描述

Silkrode Ads is a start-up company that makes it easy for businesses to use artificial intelligence to grow and succeed in a cross screen era. . Silkrode Ads is formed by a passionate team of computer scientists and engineers with experience in AI, data analysis, distributed systems, and marketing. 

We make it easy for businesses to use artificial intelligence to grow and succeed in a cross screen era. We provide professional transnational corporate Internet information security application platform and consulting experience. Analyzing user experience with AI data to provide our customers. Our independent R&D center in Taiwan to placed great emphasis on increasing competitiveness of customers via stable, high-speed and security software services, as our ultimate mission. 

• Natural Language Processing: industrial domain word segmentation, part-of-speech tagging, named entity recognition; industrial domain knowledge map construction; 
• Experience in NoSQL database (Mongo, Cassandra, Memcached, etc.) 
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. 
• Experience with data visualization tool like Tableau is good. 
• Experience in any of AWS/Azure cloud servcie is a plus. 
• Experience in deep learning methdologies or frameworks is a big plus. 
• Experience in deep neural networks (CNN, RNN, BNN, TWN) is a big plus.

 

• Education: levels/ majors: Bachelors degree in Computer Sciences,Mathmiatics, Engineering, Statistics or equivalent. 
• Work experience: At least 2-3 years hands on experience in data science field. 
• Familiar with data analysis process is a must. 
• Familiar with at least one of the following data analysis languages: Python, R, Matlab, Java, Scala, C/C++ 
• Familiar with any of RDBMS (ex: MySQL , SQL Server, PostgreSQL, Oracle Database, etc.) is a must. 
• Familiar with Big Data open source software such as Hadoop and Spark, and Data Visualization is good 
• Familiar with Hadoop ecosystem, such as Spark, Hive,Impala is a big plus
• Familiar with at least one of deep learning frameworks like TensorFlow, PyTorch, Keras, and so on is a big plus.



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