久久久久久久久免费_久久久久久久久网站_久久久久久久久一区_久久久久久久网_一级免费在线_一级女人真人毛片免费看

职位描述：
美资全球性it服务商，在中国大连及深圳有分公司，现因业务需要，招聘以下5类职位，其中高级职称岗位月薪35k左右，中级职位岗位月薪25k左右
1.ai architecture - design & app solutions
ai架构设计及app解决方案 （高级职称7位+中级职称10位）
需7~9年工作经验
(1) data modeling, mining and exploration
(2) thought leadership to support customer's telecom, electronics consumer goods business strategy with identifying use cases for ai development, decision making and address pain points
数据建模，挖掘及探索
2. ai problem processing, ai innovation & technology selection
ai创新及技术选择（高级职称高5位+中级职称8位）
需7~9年经验
(1) ai expert with long term development vision, planning ai architecture design and ai technology selection
(2) familiarity with ai data strategy - mining, algorithms and performance optimization
(3) rich in ai problem processing and innovation
ai专家，长远眼光
3. telecom equipment, electronics cosumer goods, mobile phones, business data modeling, consultancy and training for digital business operations
通讯及消费电子电商运营（高级职称5位+中级职称5位）
需5~6年经验
(1) telecom equipment, electronics cosumer goods, mobile phones, business data modeling experience
(2) finance, supply chain, gts, and sales business
(3) solid understanding of data processing - modeling, mining, analysis and services
(4) consultancy, training and other digital services operations
通讯及消费电子商务数据建模，财务，供应链等
4. java experts
java专家（高级职称2位+中级职称2位）
需4~5年经验
(1) familiarity with open development platforms
(2) familiarity with distributed systems and micro services based architectures
(3) devops understanding
(4) rich experience of automated testing
(5) rich experiences in kubernets, docker and service mesh; familiar with open source software and able to develop cr, dac, cni plug-ins;
(6) familiar with mongodb and kafka;
(7) proficient in the use and optimization of hadoop, hbase, spark components
5. data scientist and specialist
数据专家 （高级职称2位+中级职称2位）
需7~9年经验
(1) excellent skills and experience of data science - modeling, preparation, access, processing, computing, analysis, governance, mining, storage, log collection and messages integration
(2) familiar with big data related components such as hadoop, yarn, titan and arangodb
(3) familiar with orc, oltp and olap
(4) familiar with informatica edc/ddm software package
(5) familiar with power bi/tableau software package
(6) familiar with message inteegration tools(kafka), log collection tools(filebeat/logstash), real-time processing tools(spark/stream/storm/flink), big data storage(hdfs/hbase/es/mongo/graph db/time series db), and big data processing engine(spark/flink/hive)