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AI/Machine Learning Specialist - Global E-Commerce


Location:
Oslo
Language(s):
Only English Required
Job Ref:
185591
Company:
Harnham
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Job Description

AI/Machine Learning Specialist - Recommendation systems for Global E-commerce

Oslo, Norway

NOK 700 000

The company

The company is a global leader in their domain, seeking to further build their recommendations systems. In lieu of this they are now seeking specialists to facilitate state of the art implementations.

The role

You will be working closely with the backend big data team in developing robust, scalable algorithms for recommendation systems. You will improve the personalization of the product by:

  • Develop recommendation systems through
    • Classifying parameters of the user and the items for algorithms
    • Defining outcomes based on selected parameters
  • Develop content based algorithms as well as collaborative filtering algorithms
  • Evaluate precision of recommendation engines
  • Consult on appropriate implementation of algorithms in practice

The benefits

  • Start-up culture in a team with the financial backing of a multinational
  • Offices in the heart of Oslo
  • Competitive salary

Your qualifications

You will have:

  • Minimum 2 years commercial experience of developing scalable algorithms
  • PhD or MSc in relevant field (Computer Science, Machine Learning etc)
  • Expert user of programming language with machine learning packages (Tensorflow, Theano, Caffe, Scipy, Numpy, Scikitlearn etc.)
  • Experience with big data systems (Hive, Hadoop, Spark, etc.)

How to apply

Please apply via the "apply here" link on this web page. For any further questions, please do not hesitate to get in touch with Sabine Odfjell at Harnham.

Keywords

Big data, backend big data, machine learning, artificial intelligence, recommendation systems, algorithms, tensorflow, theano, python, scikitlearn, numpy, scipy, advanced predictive analysis

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Salary Indication
Up to 700000kr per annum
Requirements
Big data, backend big data, machine learning, artificial intelligence, recommendation systems, algorithms, tensorflow, theano, python, scikitlearn, numpy, scipy, advanced predictive analysis


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