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Machine Learning Engineer

Remuneration:R1000000 - R1100000 per year cost-to-company 
Location:Johannesburg, Constantia Kloof
Education level:Degree
Job level:Senior
Company:E-Merge IT Recruitment

Job description

This is a wonderful opportunity in data science that focuses on self-service artificial intelligence and how it integrates with modern cloud business intelligence software. Be a part of this dynamic team that is intelligently creative with AI business solutions.

Reference number for this position is NN49083 this is a permanent position based in Johannesburg offering R1.1m per annum negotiable based on experience and ability. Contact Nigel Ntuli on az.oc.egrem-e@nlegin or call him on 011 463 3633 to discuss this and other opportunities.

Are you ready for a change of scenery? E-Merge IT Recruitment is a niche recruitment agency. We offer our candidates options so that we can successfully place the right people with the right companies, in the right roles. Check out the E-Merge IT website for more great positions. 

Do you have a friend who is a developer or technology specialist? We pay cash for successful referrals:


  • Five+ application development and support experience
  • Qualification in computer science, engineering or applied mathematics ideal
  • Ability to work on ML frameworks and libraries
  • Basic understanding of Kubernetes with preferable knowledge of ML pipeline technologies
Experience with the following is important:
  • Experience in deep learning and machine learning algorithm design, feature engineering.
  • Experience gained in creating production software
  • R
  • Python
  • SQL
  • Scala
  • Tensorflow
  • Hadoop
  • Spark
About the role:
  • This position drives aspirations around artificial intelligence and digitisation by supporting and enabling teams across the business to achieve value from their machine learning projects
  • The role provides machine learning optimisation services to algorithm developers across the business, while serving as a bridge between model builders, data analysts, and big data engineers to deploy productions models that positively impact client experience.

Posted on 16 Sep 18:22, Closing date 15 Nov


Nigel Ntuli
011 463 3633

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