Jobs Career Advice Signup
X

Send this job to a friend

X

Did you notice an error or suspect this job is scam? Tell us.

  • Posted: Jul 3, 2017
    Deadline: Not specified
    • @gmail.com
    • @yahoo.com
    • @outlook.com
  • Never pay for any CBT, test or assessment as part of any recruitment process. When in doubt, contact us

    We at Xineoh specialize in the application of mathematical modeling and machine learning to ad technology. We have successfully created several products utilising these expertise. Our background is in e-commerce, where we are one of the largest affiliates for some of the world's leading e-commerce sites. So far, we have used our technology to generate over ...
    Read more about this company

     

    Machine Learning Engineer

    Job description

    Join a team creating a state of the art recommendation engine for the international market. 2-3 years expeirence in Python using Scipy, NumPy and Theano, TensorFlow or Keras. R 900k - R 1,14m p/a CTC.

    We would like to invite you on a journey.

    This journey spans from the lower tip of South Africa, to the shores of the Silicon Valley. We are Xineoh.

    The talk on the streets is this: Artificial Intelligence and Machine Learning are where you want to be and where it’s all going. To quote Bill Gates when talking of AI: "The dream is finally arriving...this is what it was all leading up to".

    At Xineoh, we live in the AI.

    We are seeking unique minds who want to make a difference. People who want to be part of a team that not only wants to make an impact in the business world, but in the overall improvement of the condition of our planet.

    “Great Opportunities are like beautiful butterflies. When they land on you, if you don’t grab them, they fly away and land on another”

    - J. Vaughn, Technology Consultant, Stanford. -

    Our company is made up of talented engineers that seek like minded game changers. We are growing fast and this invitation may be your butterfly.

    About this position:

    • We are looking for an exceptional data scientist, specializing in machine learning, to work on a industry changing recommendation engine.
    • As data scientist at Xineoh you will build mathematical abstractions of different products and services to enhance the user experience of consumers and thereby maximise conversion performance through, among other things, accurate recommendations.
    • There are not a lot of people around the world working on this specific challenge at the level that we do, so it is the opportunity to do something niche and exciting and at the same time improve the online entertainment and retail experience for users, while also increasing profitability for businesses.
    • You will have the opportunity to work with a flat and lean multidisciplinary team of very smart, passionate and creative individuals. Along with these individuals you will create models that free up a lot of hidden economic value, thereby playing a part to make the economy function better and improve people’s lives.

    Candidate requirements:

    To qualify for this position, you will need a 4-year degree in artificial intelligence, machine learning, applied statistics, mathematics, physics or related discipline.

    You will also need:

    • Very strong mathematic skills with good university results for algebra and calculus.
    • 2-3 years expierence in Python using Scipy, Nympy and Theano, TensorFlow or Keras. Experience in equavalents are acceptable except R and Matlab.
    • Experience in applying these methods and techniques to recommendation and optimization problems.
    • Experience in using deep learning techniques.

    Remuneration:

    R 900 000 - R 1,14 m p/a Cost to Company.

    Method of Application

    Interested and qualified? Go to Xineoh on www.linkedin.com to apply

    Build your CV for free. Download in different templates.

  • Send your application

    View All Vacancies at Xineoh Back To Home

Subscribe to Job Alert

 

Join our happy subscribers

 
 
Send your application through

GmailGmail YahoomailYahoomail