Java Designer / Developer - Big Data / Machine Learning (213774)

The platform is built with Microservices and uses the Java Spring framework.
Among other techniques it supports machine learning algorithms for anomaly detection, classification, and fault localization in addition to predefined reports for Radio Data Analytics.
In our data lake we collect large amounts of network data from our customer networks. Expanding and improving Big Data analytics for customer network data and faster and better LAB analytics in testing are cornerstones for the framework development teams.

We welcome the opportunity to meet you!

Responsibilities & Tasks:

You will contribute to strategic technical leadership
Perform continuous analysis and requirement handling
Develop and test high quality products
Perform trouble shooting and customer support
Drive continuous improvements of products and processes
Develop competence in the Big Data domain
Drive Continuous Improvements of Products and our Agile WoW

Do you have a minimum of 2 years Java development / design experience?
Do you want to work with Big Data Analytics and Machine Learning?
If you answer positively to these two questions, then we have some great opportunities for you!

We are looking for experienced Java developers / designers to join the Radio Data Insights (RDI) teams where we develop Big Data Analytics platforms used in the Network Products organisation for analyzing large amount of Radio network data (4G, 3G, 2G).

Key Qualifications:

Experience in Java programming and willingness to learn new technologies is necessary
Enjoy code and programming
Ideally some GUI development framework experience:
React
Immutable
Redux
A successful candidate is self-motivated, with the drive to solve problems and expand our knowledge
Ability to think and work independently, and has a structured way of working
Ability to think logically and break down complex information
Good communicational skills
Team player whom positively contributes to our team spirit
Fluent in English, oral and written
Product Development Knowledge
Lean & Agile Knowledge and Skills
Working with People
Delivering Results & Meeting Customer Expectations
Planning and Organizing

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.