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Big Data Engineer/Machine Learning Engineer 大数据开发工程师 & 算法机器学习工程师

Nanjing, China
Services Engineering

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English (US)

Job Description

Date: Sep 3, 2018

Locations:

江苏省南京市江宁经济技术开发区胜利路89号紫金研发创业中心2号楼6楼

辽宁省大连市高新园区七贤岭科海街8号

湖北省武汉市建设大道568号国际贸易商业中心3210室

上海市长宁区天山西路1068号联强国际广场

 

Big Data Engineer 大数据开发工程师

 

工作描述:

 

1.         负责研发组的代码开发和功能测试

2.         负责数据组的数据挖掘和数据分析

3.         负责运维组的故障定位和性能优化

4.         负责大数据平台的架构,概要和详细设计

5.         参与大数据平台的人工智能系统开发

 

岗位要求:

1.         3年及以上使用大数据开发和架构经验,熟悉框架(Hadoop/Spark)应用及其原理和机制

2.         至少熟悉一种MQ(Kafka/RabbitMQ/ActiveMQ/ZeroMQ)的使用

3.         熟悉Shell/Python脚本或者熟悉Java/Scala等语言

4.         有Keras/Tensorflow等机器学习项目实践经验者优先

5.         良好的英语听说读写及沟通能力

6.         良好的团队合作精神

 

Job Summary:

We are now looking for a Big Data Engineer that will be responsible for data analytic for NDO (Network Design Optimization) to meet customer requirements. You will be engaged in the whole process from pre-sales of services and networks to service delivery and acceptance.

 

Key Responsibilities:

  • Work with NDO (Network Design Optimization) experts to analyze requirement
  • Take part in the Data Analytics and Machine Learning related prototyping, and the followed development
  • Participate in knowledge sharing activities

 

Key Qualifications:

  • Experience in data analytics technology and tool, structured and unstructured data and/or streams preferred
  • Familiar with latest big data ecosystems/technologies:  Spark, Spark streaming, Kafka, HDFS, etc.
  • Understand machine learning workflow
  • Strong competence on programming such as Scala, Python, or R
  • Experience in Relational Database Management System (RMDBS) e.g. MySQL
  • Knowledge in mobile network system is a plus

 

Machine Learning Engineer 机器学习开发工程师

 

工作描述:

 

  1. 负责机器学习系统的设计、开发和测试
  2. 为公司的产品和项目提供机器学习和数据分析服务
  3. 研究新的机器学习技术,并为公司的产品和项目确定可行的技术

 

岗位要求:

 

1.  三年以上机器学习开发经验,有一个或多个ML算法的实践经验,如Regression, Clustering, Trees/Random Forest, Bayesian statistics, SVM, Neural networks, deep learning/reinforcement learning等

2.  熟悉Python语言,熟悉scikit-learn/Tensorflow/H2O/MLlib等平台

3.  有基于大数据平台(Hadoop/Spark)开发经验者优先

4.   有移动无线网络经验者优先

5.   良好的英语听说读写及沟通能力

6.  良好的团队合作精神

 

Job Summary:

We are now looking for a Machine Learning Engineer that will be responsible for data analytic for NDO (Network Design Optimization) to meet customer requirements. You will be engaged in the whole process from pre-sales of services and networks to service delivery and acceptance.

 

Key Responsibilities:

 

•Create Scalable Machine Learning systems that are highly performant

•Identify patterns in data streams and generating actionable insights

•Customize Machine Learning (ML) algorithms for different use cases

•Participate related Proof-of-Concept with customer to apply machine learning algorithms in different use cases

•Investigate new machine learning technologies & identify feasible ones for specific cases

•Collaborate with others both internally and externally in machine learning area.

•Prepare and provide machine learning trainings to other colleagues. 

 

Key Qualifications:

 

•An interest in exploring how ML AI can be leveraged for the use cases in telecom domain

•4+ years of software development experience post graduate school

•2+ years of experience working in applying Machine Learning to solve complex problems

•MS in Computer Science, Mathematics, Physics, Artificial Intelligence, or related 

 

Skill belt should include:

 

•Software development experience in Python

•Writing Hive or SQL queries for Data extraction

•Experience with *nix systems, open source software and libraries.

•Experience in the telecom industry, especially radio network is a plus

•Hands-on experience with one or more ML algorithms such as Regression, Clustering, Trees/Random Forest, Bayesian statistics, SVM, Neural networks, deep learning/reinforcement learning, etc.

•Familiarity with frameworks such as MLlib, scikit-learn, H2O, Torch, TensorFlow, Theano, Caffe 

 

Besides technical expertise, the ability to work in a highly matrixed and collaborative environment is required.

 

The person must have demonstrated strong drive to accomplish high-impact results, setting tough goals for himself/herself and executing to it, energetic and positive spirits taking pride in achievements, and straightforwardness in dealing with others in a direct and productive manner.

 

 

Ericsson provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetics.

Ericsson complies with applicable country, state and all local laws governing nondiscrimination in employment in every location across the world in which the company has facilities. In addition, Ericsson supports the UN Guiding Principles for Business and Human Rights and the United Nations Global Compact.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, training and development.

Ericsson expressly prohibits any form of workplace harassment based on race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetic information.

 

Primary country and city: China (CN) || || Nanjing || ServEng

Req ID: 244382