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職位描述：
美資全球性it服務(wù)商，在中國大連及深圳有分公司，現(xiàn)因業(yè)務(wù)需要，招聘以下5類職位，其中高級職稱崗位月薪35k左右，中級職位崗位月薪25k左右
1.ai architecture - design & app solutions
ai架構(gòu)設(shè)計(jì)及app解決方案 （高級職稱7位+中級職稱10位）
需7~9年工作經(jīng)驗(yàn)
(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
數(shù)據(jù)建模，挖掘及探索
2. ai problem processing, ai innovation & technology selection
ai創(chuàng)新及技術(shù)選擇（高級職稱高5位+中級職稱8位）
需7~9年經(jīng)驗(yàn)
(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專家，長遠(yuǎn)眼光
3. telecom equipment, electronics cosumer goods, mobile phones, business data modeling, consultancy and training for digital business operations
通訊及消費(fèi)電子電商運(yùn)營（高級職稱5位+中級職稱5位）
需5~6年經(jīng)驗(yàn)
(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
通訊及消費(fèi)電子商務(wù)數(shù)據(jù)建模，財(cái)務(wù)，供應(yīng)鏈等
4. java experts
java專家（高級職稱2位+中級職稱2位）
需4~5年經(jīng)驗(yàn)
(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
數(shù)據(jù)專家 （高級職稱2位+中級職稱2位）
需7~9年經(jīng)驗(yàn)
(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)