Ericsson Careers

Machine Learning Expert - Shanghai

Shanghai, China
Research & Development

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English (US)

Job Description

Date: Jul 27, 2018

Ericsson R&D Shanghai is reinforcing the Machine Learning focus team in order to drive and coordinate various customer Proof-of-Concept and internal research activities in ML area, explore the possibilities of turning these ideas and prototypes into tangible business offerings

 

 

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.

     

     

    Requirements:

     

  • 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 / C++ / Java
  • Writing Hive or SQL queries for Data extraction
  • Experience with *nix systems, open source software and libraries.
  • Experience in the telecom industry, especially core 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.

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